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The second module of the Learning from the Evidence on Forced Displacement training program focuses on the gender dimensions of forced displacement.
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00:00 And good evening,

00:01 depending on where uh you're joining from.

00:04 Welcome to the second module of a learning program

00:07 called Learning for the Ambulance on Force Displacement.

00:11 Uh,

00:11 the training program is organized by the

00:13 Building the Evidence on Force Displacement Program,

00:15 which is a research program,

00:17 a partnership between

00:18 the UK government,

00:19 the UNHCR,

00:20 and the World Bank,

00:21 and in collaboration with the World Bank,

00:23 UNHCR Joint Data Center on Force Displacement.

00:27 My name is Paula Elis.

00:28 Uh,

00:29 I am an impact evaluation specialist with the Building

00:31 the Evidence Program and the World Bank FCD Group.

00:34 I am joined today by Jenny Krugman,

00:36 who is a senior fellow at the Brookings Institution

00:38 and a former director of gender and Development at the World Bank.

00:42 Jenny will be uh leading the delivery of today's uh training session.

00:47 Before we get started,

00:49 I'd like to go uh through a little bit the logistics of the meetings.

00:54 Uh,

00:54 kindly know that the meeting is being recorded.

00:57 The recording will be posted on the,

00:59 um,

01:00 uh,

01:00 training program website.

01:01 Um,

01:02 however,

01:03 discussions that will be had in the,

01:04 uh,

01:05 breakout rooms will not be recorded.

01:07 Um,

01:08 you are encouraged to keep your camera on.

01:10 Uh,

01:10 that makes it nice for the speakers to see directly their audience.

01:14 Uh,

01:14 and kindly also make sure to,

01:17 um,

01:17 that your microphone is on mute when you're not speaking.

01:20 We're going to have 90 minutes for this session.

01:22 There's going to be opportunities for,

01:24 uh,

01:24 to ask questions throughout and you can do that by raising your hand,

01:27 um,

01:28 or,

01:29 um,

01:29 by typing them directly in the chat,

01:31 which will be monitored.

01:33 And

01:34 kindly,

01:35 uh,

01:35 we wanted to ask as well if you can rename yourself by,

01:39 um,

01:40 typing your name

01:41 and your affiliation and to do that in case Zoom has done it for you.

01:45 To do that,

01:46 you

01:46 right click on the three dots that are next to your name,

01:49 uh,

01:49 and you,

01:50 and you type in.

01:51 Thanks for,

01:52 for doing that.

01:53 And um,

01:54 uh,

01:55 we'd like to invite you as well to

01:58 Introduce yourselves in the chat,

01:59 type your name,

02:00 your affiliation,

02:01 where you're joining from,

02:02 uh,

02:03 so that we all get acquainted with the,

02:05 with each other.

02:07 Uh,

02:07 again,

02:08 welcome to today's module on,

02:10 uh,

02:10 force displacement and gender.

02:12 Uh,

02:12 this is the 2nd module in a series of 8.

02:16 we started last week on Wednesday,

02:17 and this will be a,

02:19 uh,

02:19 Wednesday,

02:20 uh,

02:20 meeting,

02:21 uh,

02:21 reoccurrence.

02:22 Um,

02:25 I don't see.

02:27 Uh,

02:28 any of you introducing in the chat.

02:30 So let me just say it again.

02:31 It'd be nice if you can come in and uh say who you are and,

02:34 uh,

02:34 uh,

02:35 your work and the organization you work with and where you're joining from.

02:38 That's great.

02:39 Thanks,

02:39 uh,

02:40 for doing that.

02:40 And,

02:41 uh,

02:41 also,

02:42 uh,

02:42 I don't see many cameras on.

02:44 Maybe that's just my,

02:45 my Zoom,

02:46 but uh please do that if you're able.

02:48 Um,

02:49 and,

02:50 uh,

02:51 I'll stop there and uh give the floor to Jenny.

02:54 Uh,

02:54 she's going to be leading the delivery of today's module.

02:57 And um,

02:59 Uh,

02:59 yes,

03:00 uh,

03:00 I wish everyone to enjoy the session and we meet back again in the end.

03:06 Over to you,

03:06 Jenny.

03:07 Thank you.

03:08 Thanks so much,

03:09 Paula,

03:09 and thanks very much uh

03:12 to the World Bank and UNHCR and of course the

03:15 support of the UK government which enabled us to um

03:19 explore

03:20 the gender dimensions of forced displacement.

03:23 Um,

03:23 I've been

03:24 working on this issue now for several years together with,

03:28 um,

03:28 Diana Rungo who's going to be,

03:30 um,

03:31 Uh,

03:33 leading the,

03:34 the panel discussion,

03:35 um,

03:36 later,

03:36 uh,

03:37 in the session,

03:38 as well as Lucia Hanna,

03:39 um,

03:40 and,

03:41 uh,

03:42 had the pleasure of working with a number of

03:44 the people who are involved in today's session,

03:46 and including,

03:47 uh,

03:48 Jocelyn Kelly from Harvard.

03:49 So,

03:50 it's,

03:50 um,

03:51 it's very nice to have the opportunity,

03:53 uh,

03:53 to share some of these findings,

03:54 and also,

03:55 I think,

03:55 to have some

03:56 Um,

03:57 discussion

03:58 and,

03:59 um,

04:00 uh,

04:00 feedback,

04:01 uh,

04:01 and some learning around,

04:03 um,

04:03 some of the,

04:04 some of the key findings.

04:06 The way we've,

04:07 uh,

04:08 structured the session

04:09 is,

04:10 um,

04:11 to focus initially,

04:12 um,

04:13 on the headline findings.

04:15 It was quite a broad program

04:17 of research on the gender dimensions of,

04:19 of forced displacement,

04:21 um.

04:22 So I'll be looking uh at the

04:25 findings around

04:26 uh the risks of poverty and constraints on livelihoods,

04:31 uh,

04:31 that'll be followed by um,

04:33 a small

04:34 group breakup to which,

04:35 uh,

04:36 each of you will be randomly assigned,

04:39 and then we'll come back,

04:40 um,

04:41 and focus on gender-based violence,

04:44 um.

04:45 Again,

04:46 highlighting the findings from our recent empirical research,

04:50 and then turning to an expert panel,

04:51 which includes um

04:53 some great operational

04:55 experience,

04:56 um,

04:57 um,

04:58 repre senior representation from UNHCR

05:01 as well as,

05:02 um,

05:03 uh,

05:03 leading academics.

05:05 And then at the end,

05:06 we're going to have a,

05:06 a very quick quiz.

05:07 I promise it's not too hard,

05:09 it's multiple choice,

05:10 um,

05:10 and Paula will also wrap up then.

05:13 So,

05:14 um,

05:14 let me just turn then to,

05:17 uh,

05:17 the research program that I mentioned,

05:19 um,

05:20 which was started or launched several years ago,

05:23 uh,

05:23 as I mentioned with the support of,

05:26 um,

05:27 the UK government,

05:28 which enabled us to,

05:30 I think,

05:31 Frankly,

05:32 for the first time,

05:33 um,

05:34 undertake deep,

05:35 uh,

05:36 investigations across,

05:37 um,

05:37 uh,

05:38 multiple countries to try and look at the ways in which

05:41 forced displacement has differential effects,

05:45 um,

05:45 and we structured the work around,

05:48 um,

05:49 Um,

05:50 investigations,

05:51 into poverty and different dimensions of poverty,

05:54 into livelihoods.

05:55 Um,

05:55 we had

05:57 interesting papers as well,

05:58 about impacts on norms,

06:00 as well as several,

06:01 um,

06:02 investigations into gender-based violence.

06:04 And we tried to keep,

06:05 um,

06:06 the policy and programming implications at the forefront,

06:10 um,

06:10 of the work as well.

06:11 And so,

06:12 I'll try and bring both of those aspects into,

06:16 um,

06:16 the discussion today.

06:18 So as I mentioned,

06:19 um,

06:19 we had a number of countries subject to investigation,

06:23 um,

06:23 so we did detailed,

06:25 kind of country level investigations in 8 countries,

06:28 and then we also had several papers which undertook,

06:31 um,

06:32 Uh,

06:33 comparative studies across,

06:34 uh,

06:35 several countries at a time,

06:36 and they covered a total of 17 countries.

06:39 Uh,

06:39 I think a couple of points to make at the outset are that we used,

06:43 um,

06:44 existing data sets.

06:45 Uh,

06:46 we didn't include,

06:47 um,

06:48 newly,

06:49 uh,

06:49 commissioned or collected data.

06:50 I know the number of you,

06:52 uh,

06:52 participated

06:53 in the session last week and would be familiar with,

06:56 um,

06:57 Uh,

06:57 a number of the,

06:58 both opportunities and constraints that we face on the data front.

07:01 Um,

07:02 the information that we were using was collected mainly at the household level,

07:06 but also,

07:07 um,

07:08 uh,

07:08 within the households,

07:09 um,

07:10 collecting,

07:10 uh,

07:11 individual level data,

07:12 um,

07:13 and then we used,

07:14 um,

07:15 in a couple of cases,

07:16 um,

07:17 uh,

07:18 the,

07:18 uh,

07:19 labor force surveys and,

07:21 um,

07:21 school surveys as well.

07:23 Um,

07:23 I think the other point I want to make at the outset is

07:27 that most of the data that we're

07:28 exploring uh pertain to internally displaced people

07:33 rather than refugees.

07:34 Um,

07:35 and I'll try and be explicit throughout,

07:37 um,

07:37 and distinguish,

07:38 um,

07:39 where there are differences,

07:40 but,

07:41 uh,

07:41 for the most part,

07:42 um,

07:42 and indeed largely due to data constraints,

07:45 um,

07:46 we are presenting results about,

07:49 um,

07:49 internal displacement.

07:51 So,

07:52 uh,

07:52 let me kind of turn now to,

07:55 uh,

07:56 the results around,

07:57 um,

07:58 poverty and inequality.

07:59 Uh,

08:00 we had several papers here.

08:01 Uh,

08:01 we had the good fortune of being able to work with the Oxford

08:05 Poverty and Human Development Initiative,

08:06 Sabina Alkari and colleagues.

08:09 And what they did was,

08:11 um,

08:12 Further developed and adapt the multi-dimensional poverty index,

08:16 uh,

08:16 which has been used in a range of contexts.

08:18 Some of you may be familiar with,

08:20 um,

08:21 uh,

08:22 how that's been used in,

08:23 in a variety of settings,

08:25 and it's published by the Global Human Development Report,

08:28 um,

08:28 among other.

08:29 Um,

08:31 uh,

08:31 venues and of course,

08:32 explicitly recognized in sustainable development goals.

08:36 So what they did was develop a new version of

08:39 the index and apply that to 5 African countries,

08:41 which I've listed here.

08:43 And what we were able to do was systematically compare displaced,

08:47 and host households,

08:48 and I'll turn to the results of that in a moment.

08:51 Um,

08:51 we also undertook,

08:52 um,

08:54 Studies looking at monetary poverty.

08:56 So this is the,

08:57 if you like,

08:57 the more traditional

08:59 measure of poverty often used by the World Bank

09:02 in two settings,

09:04 Syria and Jordan,

09:06 um,

09:07 again,

09:08 um,

09:08 using innovative methods which I think provided important insight.

09:11 So

09:12 let me just highlight

09:13 the key findings on the monetary poverty side.

09:16 Um,

09:16 I think one important and possibly surprising finding

09:20 is that the gender of the household head.

09:23 Was not always the sole predictor of,

09:25 of poverty risk,

09:26 or,

09:26 um,

09:27 who was worst off.

09:28 Uh,

09:29 and in fact,

09:30 in,

09:30 um,

09:31 a couple of settings,

09:32 specifically Somalia and Jordan,

09:34 um,

09:35 it was the case that male-headed households,

09:38 uh,

09:38 tended to be,

09:39 um,

09:39 income poorer than female-headed households.

09:42 At the same time,

09:43 uh,

09:44 we did find that gender does influence poverty risk,

09:48 and indeed,

09:49 uh,

09:49 particular characteristics.

09:51 So for example,

09:52 Um,

09:53 women,

09:53 um,

09:54 who were single and also with children in the

09:57 household were much more likely to be poor,

09:59 and the same was true,

10:01 um,

10:02 for IDP widows,

10:03 uh,

10:04 living outside of IDP settlements.

10:06 Um,

10:07 and then a more general finding which I think is important to underline

10:11 is,

10:11 and it relates to,

10:12 um,

10:13 our focus on livelihoods,

10:15 is that having income earners

10:17 in the household

10:18 is very important for reducing poverty risk,

10:21 um,

10:21 whether these be male or female.

10:24 Income earners,

10:26 uh,

10:26 and that was true both for displaced and non-displaced households.

10:29 Interestingly,

10:30 however,

10:31 what we found was that for IDP households,

10:34 it was actually female earners who reduced the poverty impact the most,

10:39 um,

10:40 whereas among non-displaced households,

10:42 More,

10:43 having more male earners,

10:44 um,

10:45 was associated with lower risk.

10:46 So there's some interesting patterns which don't necessarily,

10:49 um,

10:50 uh,

10:51 align with,

10:52 um,

10:52 pre-existing expectations.

10:54 That was on the monetary poverty side.

10:56 Turning now to the multi-dimensional poverty,

10:59 um,

11:00 I don't have time to go into the details of the methodology,

11:03 but basically it captures measures of well-being across health,

11:08 education,

11:08 living standards,

11:09 and financial security,

11:11 and it does this,

11:12 uh,

11:12 where possible at the individual level,

11:14 um,

11:15 but some dimensions are only captured at the,

11:17 um,

11:18 household level.

11:18 So for example,

11:19 access to water or,

11:21 or having a flush toilet or

11:23 the type of flooring and so on.

11:25 Um,

11:25 and here,

11:27 The findings across the five countries that I mentioned earlier

11:30 were really quite striking,

11:31 um,

11:32 possibly not surprising,

11:34 uh,

11:35 that displacement was associated with,

11:37 uh,

11:38 worse,

11:39 um,

11:40 Uh,

11:41 deprivation status,

11:42 so much higher risks of,

11:43 um,

11:44 multi-dimensional poverty,

11:46 however,

11:46 the influence of gender tended to vary,

11:49 uh,

11:49 so in some cases,

11:50 um,

11:51 uh,

11:53 Households,

11:54 um,

11:54 girls in households and women in households

11:56 were worse off in some other dimensions,

11:57 not necessarily.

11:59 It seemed to be worst affected,

12:01 um,

12:02 uh,

12:03 in the domain of education,

12:05 in particular,

12:05 girls' schooling,

12:06 uh,

12:06 being most disrupted by displacement.

12:09 Um,

12:09 and what we also found,

12:11 uh,

12:11 through this analysis

12:13 was that women were less likely to have legal identification,

12:17 um,

12:18 and access to employment,

12:20 um,

12:20 if they were displaced relative to if they were not displaced.

12:24 Um,

12:24 and I think this is quite a nice summary of the findings on the multi-dimensional.

12:28 Poverty.

12:29 So basically,

12:29 this is by country.

12:30 So Ethiopia,

12:32 it was in northeast Nigeria,

12:33 Somalia,

12:34 South Sudan,

12:35 and Sudan.

12:36 The darker bars here indicate the displaced.

12:40 The brown is the women,

12:41 the black is the men.

12:43 So broadly speaking,

12:44 you can see that,

12:45 well,

12:46 the overall picture is that the displaced are worst off.

12:49 Overall,

12:50 um,

12:50 in some cases,

12:51 the women are worse off,

12:53 in some cases,

12:54 they're quite similar,

12:55 um,

12:56 and then we can also see as well,

12:59 um,

12:59 with respect to host households,

13:01 uh,

13:02 oftentimes,

13:03 um,

13:03 well,

13:03 not oftentimes,

13:04 in,

13:04 In some of the cases,

13:05 the women

13:07 are worst off.

13:07 This is the,

13:08 the kind of light orange relative to the green.

13:11 Uh,

13:11 in some cases,

13:12 they're pretty similar,

13:13 as in northeast Nigeria

13:15 and South Sudan.

13:16 So these are the findings with respect to,

13:18 um,

13:19 multi-dimensional poverty,

13:21 um,

13:21 and just to flag that in all of these cases,

13:23 um,

13:24 all of these settings,

13:25 um,

13:26 the comparison here is with respect to,

13:28 um,

13:29 internally displaced people relative

13:32 to,

13:32 um,

13:34 Uh,

13:34 host

13:35 community,

13:35 except in the case of Ethiopia,

13:38 um,

13:38 where there was data on refugees.

13:41 Um,

13:41 so I've already alluded to the importance of livelihoods and so wanted now

13:46 to

13:47 share with you the results that we found on those fronts.

13:51 We had several

13:53 investigations

13:54 in Darfur,

13:55 Sudan,

13:56 um,

13:56 in Ethiopia,

13:58 in Somalia,

13:59 and northeast Nigeria.

14:01 And here,

14:01 what we found is that there are indeed significant constraints on

14:06 um

14:07 the economic opportunities of displaced women,

14:10 um,

14:11 especially because of their limited education levels,

14:15 um,

14:16 again,

14:16 varying by setting,

14:18 uh,

14:18 and oftentimes as well because of the very substantial,

14:21 uh,

14:21 care responsibilities that they were carrying in particular for,

14:25 for children.

14:26 Um,

14:26 and we found this in,

14:28 in Ethiopia,

14:29 among refugees.

14:30 Um,

14:32 and,

14:32 uh,

14:32 it,

14:33 what seemed to be happening was that gender norms were,

14:37 um,

14:37 limiting women's,

14:38 uh,

14:38 opportunities outside the home,

14:40 and as well

14:42 as is the case in most settings around the world,

14:45 meant that they were bearing,

14:46 um,

14:47 uh,

14:47 the care responsibilities at home.

14:49 Um.

14:51 What we found in Somalia,

14:53 um,

14:54 was that,

14:55 um,

14:55 and elsewhere,

14:56 is that participation in paid work is indeed important,

15:00 um,

15:01 in reducing poverty risk.

15:02 Uh,

15:02 but what we also found is that,

15:04 uh,

15:05 the types of opportunities available for women,

15:07 or in which they're engaged,

15:09 um,

15:09 actually had very low earnings relative to men.

15:12 Um,

15:13 so,

15:13 The impacts on poverty were less than,

15:15 uh,

15:16 would otherwise

15:17 have been the case.

15:18 Um,

15:19 and so you can see here,

15:21 um,

15:22 uh,

15:23 the results in the graph,

15:24 um,

15:25 which is a comparison between,

15:27 uh,

15:27 IDPs and hosts.

15:29 This is in the case of,

15:30 uh,

15:30 Darfur.

15:31 And so you can see for men,

15:33 um,

15:34 quite similar rates of,

15:35 um,

15:36 employment,

15:37 um,

15:37 and indeed,

15:38 um,

15:40 uh,

15:41 uh.

15:42 Between,

15:42 with the IDPs and hosts,

15:44 whereas for women,

15:45 um,

15:46 the women were actually working at,

15:47 at higher rates,

15:48 so that's kind of an interesting finding there.

15:51 However,

15:51 when we look at the poverty rates,

15:53 um,

15:54 in both cases,

15:55 uh,

15:55 for men and for women,

15:57 um,

15:57 there are higher rates of poverty,

15:59 uh,

16:00 among the displaced,

16:01 um,

16:02 Uh,

16:02 relative to the host communities,

16:04 and,

16:05 um,

16:06 this is despite the fact that they're working at least as much as,

16:09 um,

16:10 the host communities,

16:11 so that

16:12 tends to,

16:13 um,

16:14 point to low earnings,

16:15 of course,

16:16 as a,

16:17 um,

16:18 as a,

16:19 um,

16:19 characteristic of the,

16:21 the opportunities which are available.

16:23 Um,

16:24 so,

16:24 as I mentioned,

16:25 um,

16:26 the women in Darfur were working more,

16:28 um,

16:29 than the non-IDP women,

16:31 but,

16:31 um,

16:31 but more likely to be poor still.

16:34 Um,

16:35 and what we found in,

16:36 um,

16:37 Ethiopia,

16:38 which is not shown in the graph here,

16:40 is that refugees were actually less likely to be employed.

16:44 Um,

16:46 this is data from 2018,

16:48 I should add,

16:48 or,

16:49 or 2017,

16:50 uh,

16:50 so obviously prior to the

16:52 The current crisis,

16:53 um,

16:55 But,

16:56 um,

16:57 interestingly,

16:57 the gender gaps in employment were larger among hosts than refugees.

17:02 Um,

17:03 so overall the displaced were less likely to be,

17:06 to be working,

17:07 um,

17:08 but

17:08 the host women were also less likely.

17:11 To be working.

17:13 Um,

17:13 so what we wanted to do now to try and,

17:16 uh,

17:17 uh,

17:18 kind of enable exchange,

17:19 um,

17:20 and,

17:21 um,

17:22 uh,

17:23 some,

17:23 uh,

17:23 interaction in the session,

17:25 was to ask you to break out into small groups,

17:29 um,

17:29 and our,

17:30 um,

17:31 uh,

17:31 Natalia,

17:32 uh,

17:32 who's providing excellent technical support,

17:34 will push you into a group,

17:37 um,

17:38 and so we'll basically divide you up,

17:39 um,

17:40 so there's evenly signed.

17:41 Um,

17:42 size groups.

17:43 And what I,

17:44 what we would like you to discuss,

17:46 um,

17:47 are these two points.

17:48 Um,

17:49 firstly,

17:50 what,

17:50 if anything,

17:51 has surprised you so far about the,

17:53 um,

17:54 the findings that I've shared.

17:56 And secondly,

17:57 although we've not talked about this,

17:59 how would you advise a government

18:02 that wanted to address these gender disadvantages and poverty and livelihoods

18:07 in displacement settings?

18:08 What would you advise them

18:11 to do?

18:11 Um,

18:12 I would,

18:13 um,

18:13 request that each Group,

18:15 choose a rapporteur

18:17 at the beginning,

18:18 um,

18:19 someone to report back to the plenary,

18:21 um,

18:22 when we return.

18:23 Um,

18:24 it'll just be a very

18:25 short report back,

18:26 um,

18:27 you know,

18:27 30 seconds or so.

18:29 So just

18:30 bang bang,

18:30 uh,

18:31 share what you discussed in the group,

18:33 um,

18:34 and then,

18:35 uh,

18:35 we'll move on to the focus in,

18:37 um,

18:39 On,

18:39 um,

18:39 gender-based violence.

18:41 Uh,

18:41 I think we'll have about 8 minutes or so,

18:44 uh,

18:44 for the breakup.

18:45 Um,

18:46 and if you have questions,

18:47 please come back,

18:48 um,

18:48 and,

18:49 um,

18:49 ask,

18:50 uh,

18:51 myself or one of the other resource people can also,

18:53 uh,

18:54 respond

18:55 to those.

18:55 So,

18:55 Natalia,

18:56 over to you to,

18:57 um,

18:58 set up the,

19:00 The breakout groups.

19:30 OK.

19:31 Um,

19:33 I think we have

19:35 Everybody back in the plenary?

19:37 Is that right?

19:55 Uh,

19:56 can I ask,

19:57 um,

19:58 group one?

19:59 To report back,

20:00 uh,

20:01 that was Clara,

20:02 Diana,

20:03 Mari,

20:04 Mohammad,

20:04 Omar,

20:05 Sharon,

20:06 and Zina.

20:08 Uh,

20:08 sure.

20:08 Hi,

20:09 hi everybody.

20:10 Um,

20:10 no,

20:10 we had a really

20:12 interesting discussion around,

20:13 um,

20:15 you know,

20:15 the what we would advise a government.

20:19 Um,

20:19 I think very much we all were in agreement that all kind of livelihood,

20:24 um,

20:25 programming

20:26 really needs to take an AGD approach,

20:28 so like looking at age,

20:29 gender,

20:30 and diversity.

20:31 Um,

20:31 so it's not just about creating a program that is specific for

20:36 women,

20:36 but it's really looking at the holistic program and making sure

20:40 that,

20:41 um,

20:41 we're thinking.

20:42 Thinking through how do different recipients in,

20:45 in households

20:46 um

20:47 have acceptance into these programs

20:50 and then we also talked a little bit about,

20:52 you know,

20:52 ensuring,

20:53 um,

20:54 host communities

20:55 and um displaced communities receive equal access

21:00 to whatever programming is being introduced,

21:02 so more of an area-based approach rather than a status approach.

21:06 Thank you.

21:07 OK,

21:07 thank you so much.

21:08 Um,

21:09 group two.

21:11 Ahmed,

21:11 Elizabeth,

21:12 Nanda,

21:13 uh,

21:14 Reddit Silva,

21:16 Sylvia.

21:17 Hello,

21:18 I,

21:18 I'll report.

21:19 So basically for the first question,

21:22 I guess it was related to when it,

21:25 looking at the graph when it that represented the

21:28 application of the research on the five countries,

21:32 we were,

21:32 at least myself and some of the colleagues were

21:36 interested that there is no

21:39 pattern

21:40 that can be

21:43 Describing the situation exactly across every place,

21:46 at least when we're looking at it,

21:48 there was

21:49 in certain areas more women have more in certain areas,

21:54 local is a result between the displaced population and most communities

22:00 are closed and so

22:01 we could

22:03 in a way there is no significant

22:05 at least.

22:06 pattern that's consistent across the board.

22:09 Second element is related to the second set of graphs is,

22:15 it's most clear is that there is

22:18 higher poverty rates in the displaced populations in generally.

22:23 And this is where it came that women started to go into labor market or women,

22:28 women,

22:28 earner women into,

22:31 jumped into labor market

22:32 trying to close

22:34 the poverty gap.

22:36 Uh,

22:36 so in many cases the jump into labor market is not because of policy or not because of

22:41 uh enhancement of programs,

22:43 it's just

22:44 an,

22:45 an attempt to with what is whatever available

22:48 to close that gap.

22:50 on the advice to the government,

22:52 I guess we as the first group,

22:54 social cohesion

22:56 implemented in the program,

22:57 so it's more inclusive

22:59 programs not dependent on certain status but also directed into incorporating the

23:06 displaced population within

23:08 same footage with the host community in general

23:12 and the other element or the other point,

23:15 especially in

23:16 A refugee displaced population is the enhancement of documentation or

23:21 improving the access to services when it comes to documentation.

23:24 This is one of the colleagues who are reporting specifically within

23:28 a refugee situation.

23:30 Normally this IDB situation are are from the same government or same country.

23:36 They have better access to labor market or

23:39 and other elements than displaced population without proper documentation.

23:44 Thank you.

23:45 Great.

23:46 Thank you.

23:47 Uh,

23:47 these are great report backs.

23:49 Uh,

23:49 group 3,

23:52 Do you want to go ahead?

23:58 That was Alan,

23:59 actually,

23:59 I can't see all the,

24:01 um,

24:03 Uh,

24:04 Aswan Dao,

24:06 Maha

24:07 Nan.

24:09 Uh,

24:10 and an acronym.

24:11 I can't see that.

24:13 So,

24:13 um,

24:15 Thank you,

24:15 thank you,

24:15 Jenny.

24:16 Um,

24:16 so,

24:16 group three,

24:17 we have quite an interesting discussion.

24:19 Um,

24:20 um,

24:21 some of the few things that came out that surprised or that,

24:24 um,

24:25 were interesting

24:27 from your presentation,

24:29 um,

24:30 was centered around the,

24:33 the fact that women in displa,

24:34 uh,

24:34 dis displaced women,

24:36 um,

24:37 were working,

24:38 um,

24:40 At a higher rate than um

24:42 than the women in the host community,

24:44 um,

24:45 but still remained uh poorer than the host community.

24:48 This came as um one of the issues that was,

24:50 was surprising.

24:52 In relation to this,

24:54 I think there was some curiosity around

24:56 uh whether the cause for,

24:58 for this um statistic was because of

25:01 The humanitarian and development interventions

25:04 uh that were targeted at

25:06 um displaced women and also

25:09 around the fact that maybe displaced women had uh a certain sense of urgency,

25:13 um,

25:14 to reestablish their lives.

25:16 Um,

25:16 and so maybe

25:18 that resulted in,

25:19 in them,

25:20 uh,

25:20 being more active,

25:21 uh,

25:21 in terms of finding,

25:23 finding work or employment.

25:25 Another thing that came um by way of surprise was

25:29 uh the point about

25:31 the

25:32 household income in displacement,

25:35 um,

25:35 that registered that,

25:37 um,

25:37 male-headed households tended to have um

25:41 a lower

25:42 household income compared to female-headed households.

25:46 Um,

25:46 and,

25:46 uh,

25:46 the point was raised that this

25:48 kind of

25:50 Displays the,

25:51 the anecdotal narrative,

25:53 um,

25:54 that seemed to suggest that um male-headed households or male

25:59 adult males in households uh tended to result in

26:03 uh higher income.

26:04 So it was a very interesting finding.

26:06 Um,

26:06 one advice that we

26:09 thought would be very helpful to the government,

26:11 uh,

26:11 I'm sorry,

26:12 the comments that came in our book were made by

26:14 Maya from the Norwegian Embassy,

26:17 um,

26:18 And also in Uganda and also

26:21 our colleague Nuran um in Mali.

26:24 Um,

26:25 um,

26:25 and one of the advice that came um up in the group that I find

26:29 was very useful

26:31 was,

26:32 um,

26:33 in align in alignment or in um

26:37 With regards to the GCR,

26:38 the Global Compact on refugees in particular,

26:41 um,

26:42 the,

26:43 the aim of having,

26:45 um,

26:45 displaced persons integrated into national development plans,

26:49 uh,

26:49 or local or regional development plans was very,

26:52 um,

26:52 instrumental in

26:54 ensuring that the interventions that are made to address

26:57 issues like poverty

26:58 are sustainable,

27:00 um,

27:00 and don't fizzle out when humanitarian support,

27:03 uh,

27:03 dries up.

27:04 Uh,

27:04 and,

27:05 um.

27:06 Our colleague Nan from,

27:07 um,

27:07 from Mali gave a very excellent example,

27:10 uh,

27:10 citing the fact that in Mali,

27:13 um,

27:13 the government was,

27:14 um,

27:15 receptive to,

27:16 uh,

27:17 allowing women to open bank accounts,

27:19 um,

27:20 and just so that enabled them to have that

27:22 financial inclusion and security within the national systems,

27:25 which I know is a barrier in some countries where,

27:28 uh,

27:28 they are excluded from,

27:30 uh,

27:30 from being,

27:31 uh,

27:32 from having access to some of these integrated services.

27:35 Thank you.

27:37 Great.

27:38 Uh,

27:38 really interesting discussions.

27:40 Um,

27:40 we're a little bit short on time,

27:42 so we'll move to,

27:42 to group 4,

27:43 and then Group 5.

27:47 In group 4,

27:47 we had Laura,

27:48 Nana Tebe,

27:50 uh,

27:50 Rosa and Victoria.

27:53 Hi,

27:53 I'm reporting,

27:54 uh,

27:55 though,

27:55 uh,

27:55 inputs came from,

27:56 uh,

27:56 Rosa and Victoria.

27:58 Um,

27:59 the things that,

28:00 uh,

28:01 we talked about,

28:02 uh,

28:02 in terms of,

28:03 uh,

28:03 question one was that women worked almost the same as men,

28:07 um,

28:08 and that IDPs earned less than hosts.

28:11 Um,

28:12 and,

28:13 and,

28:13 um,

28:14 a,

28:14 a solution,

28:15 uh,

28:16 related to,

28:17 to gender norms,

28:18 um,

28:19 which,

28:19 which are

28:20 probably hard,

28:21 uh,

28:21 to,

28:22 to tackle since they are structural issues,

28:24 was that they should be tackled through education,

28:27 but also by supporting,

28:28 uh,

28:29 women-led businesses,

28:31 so that's advice for,

28:32 for governments.

28:33 And,

28:33 uh,

28:34 a second,

28:35 uh,

28:35 surprising finding was that,

28:37 um,

28:38 There was a difference between monetary and multi dimensional poverty,

28:42 um,

28:43 and something

28:44 along those lines were also mentioned by the previous group.

28:47 The female-headed households were better off in terms of monetary poverty

28:51 than male-headed households,

28:53 um,

28:54 while in terms of multi-dimensional poverty,

28:56 they were worse off.

28:58 Uh,

28:58 but I wanted to invite Victoria who brought up this point to maybe add

29:02 to it.

29:04 Uh,

29:05 thank you,

29:05 Laura and Jenny,

29:06 I'll try to be quick.

29:07 What

29:08 it's why it surprised me that

29:11 there is a contradiction

29:13 that in monetary poverty,

29:15 female headed households are better off,

29:18 while the finding from the multi-dimensional poverty speaks of

29:23 limited access to legal identification and access to employment.

29:28 So how,

29:29 you know,

29:30 is it the management of the budget,

29:32 you know,

29:32 in the female household.

29:34 Is better

29:37 or what leads,

29:38 you know,

29:38 to this difference,

29:40 of course,

29:40 you know,

29:41 girls don't have access to education,

29:43 you know,

29:43 there's less access to

29:45 maybe we're talking about formal employment or

29:47 informal employment opportunities for women here,

29:51 but then at the same time the female headed households are still

29:54 better off monetary wise in uh when we talk about monetary poverty.

29:59 I think just one point I should have been more clear.

30:03 This was just in one particular setting,

30:07 um,

30:07 in the case of

30:09 Somalia.

30:10 So in other settings we've actually found that female headed,

30:13 Um,

30:14 are worse off.

30:14 So I think the point that I was trying to make is that they're not always worse off.

30:19 Um,

30:19 and I think that the common theme here is that,

30:23 given the diversity of findings across different settings,

30:27 um,

30:28 it is important to undertake

30:30 country and context-specific analysis to really understand.

30:35 Um,

30:35 what is going on and in turn,

30:37 what the drivers are.

30:39 Um,

30:39 so sorry if I misled you on the,

30:41 um,

30:42 on the monetary poverty.

30:43 It varied across circumstances,

30:45 but there were some

30:46 surprising findings in the sense that,

30:48 um,

30:49 uh,

30:50 in at least one setting,

30:51 um,

30:52 the,

30:52 um,

30:52 the monetary

30:54 poverty rates were higher among,

30:55 um,

30:56 the,

30:57 uh,

30:57 female,

30:58 the male-headed households.

30:59 So let me stop there

31:00 and turn to,

31:02 I guess,

31:02 group five.

31:07 Sure,

31:07 I will,

31:08 uh,

31:09 report from Group 5.

31:11 we have discussed many of the same things as the other groups,

31:14 but,

31:14 uh,

31:15 one thing that the members were

31:17 surprised about was the little difference

31:20 between the availability of livelihood activities

31:23 and or formal employment.

31:25 We weren't sure about that for both

31:27 host community women and

31:29 IDP women

31:30 because we assume that it would be lower for IDP

31:34 women.

31:35 Uh,

31:36 second,

31:36 would,

31:37 uh,

31:37 same as the group three talked about was also women-led households and,

31:43 uh,

31:43 how the poverty rates would be less,

31:47 uh,

31:47 when you had an employed or a woman with an income.

31:52 Um.

31:54 In relation to that,

31:55 we looked at some,

31:57 uh,

31:57 some

31:58 suggestions for government

32:01 uh where

32:04 2 would look at the last surprise,

32:07 so we would

32:08 target more of these

32:10 women-led businesses and income opportunities for women,

32:14 women.

32:15 Uh,

32:16 but we also talked shortly about the need

32:20 to help governments to have proper safety nets

32:24 for both IDPs and

32:26 host communities when it comes to

32:30 incomes,

32:31 as it is so important for the level of poverty.

32:35 Thank you.

32:36 If someone wants to add something from my group,

32:39 please do so.

32:45 I think that's great.

32:46 Um,

32:47 and,

32:48 I mean,

32:49 the nice thing is that,

32:50 you know,

32:50 there are a series of subsequent sessions,

32:52 including those focused on livelihoods and jobs,

32:55 um,

32:56 as well as social protection,

32:57 which will enable you to,

32:59 to dive more deeply into,

33:01 um,

33:02 uh,

33:02 the issues surrounding,

33:04 uh,

33:05 that type of programming.

33:06 Just on the livelihoods and women accessing,

33:09 um,

33:10 Work,

33:11 I think it's important to underline

33:13 that

33:14 the what we have there is just a binary variable,

33:17 so it's engaged in work.

33:20 There's a whole range of different types of work,

33:22 and indeed some of that is very

33:25 lowly paid.

33:27 And,

33:28 um,

33:29 you know,

33:29 just eking out,

33:30 um,

33:31 kind of activities,

33:32 uh,

33:32 either self-employed or in some type of family,

33:35 um,

33:35 enterprise.

33:36 So,

33:37 um,

33:37 there's a whole range,

33:38 it's not only formal employment,

33:40 um,

33:40 it's a whole range of informal and,

33:42 and other livelihood activities,

33:43 um,

33:44 which may account for the fact that kind of women are managing

33:47 to find something,

33:48 um,

33:49 uh,

33:50 to help support their households.

33:51 Um,

33:52 I don't want to,

33:53 um,

33:54 constrain our panel too much,

33:56 uh,

33:56 in terms of time,

33:57 so I'm going to move fairly quickly.

34:00 Uh,

34:00 now through a series of slides about gender-based violence.

34:05 Um,

34:06 what I'm going to do is to present some definitions,

34:09 um,

34:10 although I'm sure that many of you are familiar,

34:12 uh,

34:12 with the lay of the land here.

34:14 Um,

34:15 I'm going to present some key findings,

34:17 um,

34:18 but not go into too much detail because we have Jocelyn,

34:21 and Diana who were very much engaged and indeed leading this research.

34:25 Um,

34:26 and then talk as well about some of the implications for policy and programming,

34:30 but again,

34:31 we have excellent,

34:32 uh,

34:33 folks on the panel,

34:34 um,

34:34 Verena and Constance,

34:35 who can,

34:36 who can speak more to that.

34:37 So,

34:38 apologies for running through this relatively

34:40 quickly.

34:41 We'll,

34:41 of course,

34:41 share the slides afterwards,

34:43 and,

34:44 um,

34:45 Uh,

34:46 there are resources and,

34:47 um,

34:48 a number of,

34:48 uh,

34:49 references that I encourage you to explore if you're interested.

34:53 Um,

34:54 so,

34:56 beginning with the definitions,

34:57 um,

34:58 there are definitions adopted at the international level,

35:01 which I've shown here on the slide.

35:02 I won't go through in detail.

35:04 Um,

35:05 as,

35:05 uh,

35:06 so these have been adopted,

35:07 uh,

35:07 by the World Health Organization,

35:10 um,

35:10 a declaration now.

35:12 30 years ago by the UN General Assembly,

35:16 um,

35:16 as well as the guidance provided by the interagency Standing Committee,

35:21 um,

35:23 which goes on to provide kind of operational guidance for

35:27 responses,

35:28 and I think the important point.

35:30 To underline here that it's of course fixed physical and sexual harm,

35:34 but it extends to

35:36 psychological and emotional violence as well,

35:39 um,

35:39 and it can occur in the public or in the private spheres.

35:44 So,

35:44 uh,

35:44 the private spheres,

35:45 of course,

35:47 um,

35:47 point.

35:48 To,

35:48 um,

35:49 intimate partner violence,

35:50 which was actually,

35:52 uh,

35:52 the area of focus for the work that we were doing,

35:55 um,

35:56 uh,

35:56 under this,

35:57 um,

35:58 research program,

35:59 um,

36:00 and not,

36:00 we weren't looking at,

36:01 for example,

36:02 abuses inflicted by,

36:04 um,

36:05 in public spaces,

36:07 uh,

36:07 by,

36:08 by,

36:08 for example,

36:08 peacekeepers or,

36:10 um,

36:10 um,

36:11 warring parties,

36:13 um.

36:14 The

36:15 forms of GBV,

36:16 I think are usefully outlined as well,

36:19 um,

36:19 in the,

36:20 in the agency's,

36:21 uh,

36:21 guidelines.

36:22 Um,

36:23 and you can see here that it ranges from,

36:26 um,

36:26 from rape through to unwanted touching,

36:30 as well as,

36:31 um,

36:32 early marriage,

36:33 early enforced marriage,

36:34 and female genital,

36:36 uh,

36:36 mutilation.

36:37 Um,

36:39 Men

36:40 can experience violence as well as women,

36:43 but the vast majority of victims and survivors are

36:46 indeed women and girls,

36:48 and as I mentioned,

36:49 the focus of what I'm going to be talking about

36:51 now is very much on the intimate partner violence,

36:54 so that's inflicted.

36:57 By a spouse,

36:57 by a live-in partner or boyfriend,

37:00 um,

37:00 and then

37:02 when we look at the reporting and you'll see some of the rates that,

37:05 um,

37:06 so-called prevalence rates,

37:08 um,

37:08 that have been captured through population surveys,

37:13 um,

37:13 that's

37:14 typically done in terms of the last 12 months.

37:17 So have you experienced these various types of violence

37:20 in the past 12 months,

37:22 and questions have also been asked and sometimes reported.

37:25 Um,

37:25 as,

37:26 as a lifetime rate.

37:28 So,

37:28 to kind of cut to the chase in terms of,

37:31 um,

37:32 the,

37:33 the overall findings,

37:34 you can see here across a whole range of countries,

37:37 the comparison.

37:38 This is just in terms of,

37:40 um,

37:42 Crude rates of violence,

37:43 if you like,

37:44 not with any controls,

37:45 uh,

37:46 comparing

37:47 uh the prevalence,

37:48 um,

37:49 The past year prevalence,

37:51 so this is just in the last,

37:52 uh,

37:53 12 months,

37:54 uh,

37:54 the green bars showed the rates reported by,

37:58 um,

37:59 or experienced by displaced women,

38:01 uh,

38:02 and the orange,

38:03 um,

38:03 show,

38:04 uh,

38:05 the rates reported among,

38:07 uh,

38:07 host communities.

38:08 So you can see here,

38:09 on the one hand,

38:10 systematically,

38:12 um,

38:12 much higher rates in every case,

38:14 uh,

38:14 except,

38:15 um,

38:16 Uh,

38:17 Ethiopia,

38:17 and Mali here,

38:18 but we'll talk about that in a moment,

38:21 um,

38:21 of,

38:22 um,

38:22 experiences of intimate partner violence,

38:24 but also,

38:25 I think,

38:25 very interestingly,

38:27 um,

38:28 that,

38:28 um,

38:30 there's also significant variation across countries.

38:32 So much lower rates,

38:33 for example,

38:34 reported here for Nigeria,

38:36 relative to,

38:37 say,

38:37 for example,

38:38 South Sudan,

38:39 or DRC or indeed Liberia.

38:42 What we were measuring here in the case,

38:45 cases of Mali and Nigeria,

38:48 we didn't have a direct measure of displacement,

38:52 so it was proximity to conflict

38:54 and measures of conflict-related deaths.

38:56 So this is not.

38:59 Uh,

38:59 so it's a slightly different measure,

39:01 which may also account for,

39:02 um,

39:03 the somewhat different results,

39:04 uh,

39:05 in those cases.

39:06 Um,

39:07 I think Dana and others can talk much more to,

39:09 um,

39:11 uh,

39:11 to the underlying drivers and so on.

39:12 So,

39:12 I'll just move through this

39:14 fairly quickly,

39:15 but there are some known risk factors associated with violence,

39:18 including stress,

39:19 including,

39:20 um,

39:21 uh,

39:21 poverty,

39:22 including,

39:23 um,

39:24 Uh,

39:25 availability of social networks and so on.

39:27 And so,

39:28 as well as kind of disruption to,

39:31 to norms,

39:32 um,

39:32 and relationships.

39:33 So all of these things,

39:34 obviously can be affected by displacement,

39:36 and may well lead,

39:37 may well be associated,

39:39 um,

39:39 with higher incidence and prevalence of,

39:42 of intimate partner violence.

39:44 Um,

39:45 this is just an overview slide,

39:46 uh,

39:47 that shows.

39:48 to you that the methods used in each of the studies,

39:50 uh,

39:50 and we have the experts on the panel,

39:52 so they can go into that

39:53 in more detail,

39:54 but you can see that

39:56 it was,

39:56 um,

39:57 statistical research based on existing data,

40:00 which allowed,

40:01 I think,

40:01 um,

40:02 quite careful analysis,

40:04 um,

40:04 and,

40:05 um,

40:05 kind of robust results

40:07 in terms of,

40:08 um,

40:09 the,

40:09 the changes in likelihoods over time.

40:11 Uh,

40:12 we have a comparison paper for Colombia and Liberia,

40:15 um,

40:16 showing,

40:17 uh,

40:17 much worse odds among,

40:19 uh,

40:20 women who were displaced in,

40:21 in both of those settings.

40:22 Of course,

40:23 both of those

40:25 characterized by significant conflict as well as displacement,

40:28 uh,

40:28 but also quite different in many ways.

40:30 So,

40:30 it's interesting,

40:31 uh,

40:31 to think about that.

40:33 Um,

40:33 what we,

40:34 uh,

40:35 looked at in Mali,

40:37 um,

40:37 was in terms of,

40:39 um,

40:40 The um

40:42 Uh,

40:43 the effects of living in a,

40:44 um,

40:45 an area that was,

40:46 um,

40:47 affected,

40:48 um,

40:49 uh,

40:49 by conflict.

40:51 Uh,

40:51 the results here are,

40:53 um,

40:55 I think,

40:56 um,

40:57 quite interesting.

40:58 What we did find,

40:59 what I showed you actually in the graph,

41:01 um,

41:02 was,

41:02 um,

41:03 the crude differences in terms of rates.

41:05 When you actually control,

41:07 um,

41:08 for various factors,

41:09 um,

41:10 which we know are normally associated with intimate partner violence,

41:13 there's actually a higher risk of violence.

41:16 Among

41:17 women who were living in a conflict affected area.

41:20 So whilst you might not see that overall in terms of the population,

41:24 once you undertake more careful analysis,

41:26 indeed

41:27 there were high risks being experienced in those circumstances.

41:30 I won't go into the DRC results because we have Jocelyn on the panel,

41:34 but again

41:35 this was a very,

41:36 I think,

41:36 important.

41:37 Um,

41:38 study in part as well,

41:39 because what they,

41:40 what Jocelyn and Diana and colleagues were able to

41:42 do was to look at the combination of displacement

41:46 and exposure to conflict and how that affected,

41:49 uh,

41:49 the,

41:50 the risk of conflict.

41:51 Uh,

41:51 again,

41:52 introducing a number of controls and known risk factors,

41:55 um,

41:55 and being being able to isolate,

41:58 uh,

41:58 the effect of displacement and more exposure

42:01 on the risk of,

42:02 um,

42:03 of IPV.

42:05 Um,

42:07 and the upshot there was that these factors

42:10 both independently increased the risk of IPV,

42:13 um,

42:13 and it was both

42:14 present and past displacement,

42:16 um,

42:17 which were,

42:17 um,

42:18 worsening this risk.

42:20 Um,

42:20 and then the final part here,

42:21 I know I'm moving way too quickly here,

42:23 but I just wanted to remind you that

42:25 the international legal framework around,

42:28 um,

42:29 The condemnation of violence and the prohibition of violence

42:33 is indeed very clear by now.

42:37 Most countries now have laws in place

42:41 which prohibit violence.

42:43 Many of these countries also criminalize violence,

42:47 so

42:47 this is the share of countries in

42:50 different regions,

42:51 East Asia,

42:52 Europe,

42:52 among the OECD countries in sub-Saharan Africa,

42:56 which have,

42:57 which has now has.

42:59 Place.

43:00 You can see that

43:01 many countries,

43:02 although somewhat,

43:03 um,

43:03 also have criminal,

43:04 criminal penalties,

43:06 um,

43:06 in place,

43:07 and this,

43:08 uh,

43:08 information is tracked systematically by the World Bank,

43:11 under the Women

43:11 Business and the Law Program.

43:13 But the other point I wanted to make here is that

43:16 even where it is

43:19 banned and criminalized,

43:21 very few women report.

43:24 to the police.

43:25 So here actually the heading says low rates,

43:27 but I would say extremely low rates

43:30 of reporting of intimate partner violence

43:33 by survivors.

43:34 So

43:34 the demographic and Health Survey actually asks a question about this,

43:38 and you can see that,

43:39 you know,

43:39 very negligible shares of women who

43:41 are experiencing violence are actually reporting.

43:44 Um,

43:45 uh,

43:45 or seeking help,

43:47 um,

43:47 which I think has very important implications for,

43:50 um,

43:50 policy and programming,

43:51 so that's why I wanted to,

43:53 to flag that here,

43:54 and I'm going to stop,

43:56 I think,

43:56 at this slide,

43:58 um.

43:59 And

44:00 just share the rest with you virtually.

44:03 Um,

44:03 these are some headlines from a policy brief that we put together

44:08 to,

44:08 to highlight

44:09 what we thought would be important policy and programming implications of

44:15 The findings on

44:17 gender-based violence in the context of displacement,

44:21 um,

44:21 starting with the importance of having national laws and policies being in place,

44:25 and there's a number of you

44:27 indicated from the report back,

44:29 integrating displaced people,

44:31 uh,

44:32 explicitly so that they're protected and included in those laws.

44:37 Investments in women's groups,

44:39 which are deliberately,

44:40 um,

44:41 can enable ways of um

44:45 Uh,

44:45 reaching out to,

44:46 uh,

44:47 and connecting with forcibly displaced women.

44:49 Um,

44:50 access to services is important,

44:52 and I think that Verena,

44:53 uh,

44:54 can share the example of,

44:56 uh,

44:56 DRC,

44:56 which I was going to share,

44:57 but I'll allow her to do,

44:59 uh,

44:59 because I'm running out of time,

45:01 um,

45:01 and the ways in which that can be done,

45:03 um,

45:04 both obviously in emergency situations,

45:07 but of course on sustained basis as well.

45:09 Um,

45:10 prevention efforts are clearly very important,

45:13 um,

45:13 and we're learning a lot there about the

45:16 ways in which

45:17 harmful norms

45:19 can be affected and changed at the community level,

45:22 uh,

45:23 the role of safe spaces and so on,

45:25 adapted appropriately,

45:27 uh,

45:27 to,

45:28 to displacement settings.

45:29 And then finally and not least,

45:31 um,

45:32 is the importance of capturing,

45:35 um,

45:36 Uh,

45:36 these risks in,

45:38 um,

45:38 the ways that the data is collected.

45:41 What I've focused on so far is very much quantitative data,

45:44 um,

45:45 as you might have surmised by now,

45:46 we undertook

45:47 this research basically during the COVID period,

45:50 which severely limited,

45:51 Our

45:52 ability to do,

45:53 uh,

45:53 qualitative work,

45:54 although more recent work,

45:55 uh,

45:56 that I think Diana can share

45:58 from,

45:58 um,

45:58 Colombia would help to kind of redress that

46:01 a bit.

46:02 Uh,

46:02 but let me stop here,

46:04 um,

46:05 and I'll just

46:07 flick through to

46:10 Our panel,

46:11 and,

46:11 um,

46:12 and hand over to Diana.

46:14 Thanks,

46:14 Diana.

46:17 Thanks so much,

46:17 Jenny.

46:18 I hope I can keep perfectly on time like you did.

46:21 Um,

46:22 I am so happy to be chairing this panel

46:26 today because not only are,

46:27 are we speaking with three amazing women with amazing careers,

46:31 but they all happen.

46:33 To be my friends or I consider them my friends.

46:35 Um,

46:36 so we have Doctor Justin Kelly from

46:38 Harvard Humanitarian Initiative.

46:40 She's the director there of the Gender Rights and Resilience Program,

46:45 and she designs and implements projects to examine issues related to gender,

46:49 peace,

46:49 and security in fragile states.

46:51 We have Constance Qush from UNHCR.

46:54 She's a senior protection officer there.

46:57 Um,

46:57 and she now

46:59 is

47:00 the head of the GBV unit within the division for International Protection

47:04 at UNHCR headquarters,

47:06 and it's been a pleasure to collaborate with her

47:08 over the years through the gender dimensions of Force Displacement

47:11 and Verenna Phipps,

47:12 a colleague and.

47:14 Friend who's been actually leading the charge on a lot of the implementation

47:19 of work in fragile and conflict affected states looking at gender issues,

47:24 gender-based violence,

47:25 youth at risk,

47:26 forced displacement.

47:28 So this panel is really to turn from

47:31 what do we do,

47:32 what can governments and programmers do with these data.

47:36 And what we've learned through the gender dimensions of force displacement to

47:41 adapt

47:42 and inform their programs moving forward.

47:44 So we have

47:46 3 specialists that work on this on a daily basis to tell us how they think,

47:51 uh,

47:51 we should be taking into account the gender dimensions of

47:54 force displacement or how they have taken them into account

47:58 in the advice that they give governments,

48:00 um,

48:00 or other program partners.

48:03 So let me start off

48:05 and hopefully some of those areas that Jenny alluded to within

48:08 uh the conversation will be pulled out a bit more in the conversation,

48:13 um,

48:13 and happy

48:14 to

48:15 see if you all have questions in the chat,

48:17 try to integrate those as well.

48:19 But let me start off with a basic kind of general question and Breanna,

48:23 this one will go to you first.

48:25 Um,

48:26 in your work with governments,

48:28 how do you think.

48:30 The gender dimensions of forced displacement.

48:32 So the differences

48:34 that affect men and women in forced displacement,

48:37 uh,

48:37 are being recognized and addressed in policies and programs,

48:42 and I'm wondering if you have a good example to share with

48:45 us and one that could have done a little bit better,

48:47 taking into account the gender dimensions of forced displacement.

48:50 So over to you.

48:53 Yeah,

48:53 thanks so much,

48:54 Diana.

48:54 Thanks so much for the opportunity to participate in

48:57 this discussion today and also to see the consolidated

49:00 um findings from all of the work that,

49:03 that you and the team have been leading for years.

49:05 It's really,

49:05 really,

49:06 I think,

49:06 quite exciting for me.

49:08 Um,

49:08 I think in terms of

49:11 policy dialogue and programming with government,

49:14 I think

49:15 over the last few years,

49:16 I do think there has been a growing recognition.

49:20 Uh,

49:20 generally,

49:21 that displaced women and girls confront distinct vulnerabilities,

49:24 that these vulnerabilities require tailored and multi-sectoral approaches,

49:29 and,

49:29 and definitely in particular that displaced women and girls are exposed

49:33 to much higher risks of different forms of gender-based violence.

49:36 I think something that I really appreciated about the data

49:39 you shared is actually the emphasis on intimate partner violence because

49:44 Most often in the countries where I've worked

49:46 that have been affected by conflict or displacement,

49:48 the emphasis is on conflict-related sexual violence,

49:51 and we obviously know,

49:52 and then what's brought into high relief here is,

49:54 is the devastating impacts on other forms

49:56 of gender-based violence and particularly intimate partner violence.

50:00 So,

50:01 there is,

50:01 I would think,

50:02 I think there's growing recognition that these

50:04 are Challenges and we do actually have more

50:07 um investments

50:09 uh and increasing intentional focus on better integrating

50:12 gender considerations definitely in bank-supported operations and analytics,

50:17 which is,

50:18 you know,

50:19 developed in partnership with government.

50:21 I think one example that I think is actually recent and and quite interesting.

50:25 is in the Kenya Development Response to Displacement Impacts Project,

50:30 or the Kenya Doctordip we referred to in shorthand.

50:33 They recently conducted an evaluation of the livelihoods component of

50:37 the project at the midterm stage of the project,

50:41 and the,

50:41 the assessment was really meant to provide insights and recommendations on

50:45 how to strengthen the project's impact on women's economic empowerment outcomes

50:50 with the idea that the findings of the evaluation can

50:52 inform a Adjustments to the project's approach and implementation process

50:56 because it wasn't necessarily an explicit part of project design

51:00 several years ago.

51:01 Um,

51:01 it also helps to provide an important

51:04 lens through which how projects like Doctor Dip and other CDD programs in

51:09 conflict-affected environments with focus on

51:12 displaced populations,

51:14 um,

51:14 how those livelihood interventions can be used to strengthen,

51:18 uh,

51:18 enhance,

51:19 sorry,

51:19 enhance women's economic Empowerment outcomes,

51:21 how they can create generally an

51:22 enabling environment for women's economic empowerment.

51:25 The,

51:26 the,

51:26 the study is actually coming out

51:28 soon,

51:29 and I think that there are really strong indications that already the project

51:32 had positive impact on women's access to economic opportunities and livelihoods,

51:37 a positive impact on women's

51:39 household decision making,

51:41 um,

51:41 and then some other areas where there are gaps that

51:43 the project actually has an opportunity to respond to.

51:46 So I think that's one,

51:47 that's one.

51:47 One,

51:48 example of a good project,

51:50 I have to say I,

51:51 I,

51:51 I,

51:52 we're also seeing obviously,

51:53 and this is a lot of the work that I do,

51:55 much more investment,

51:57 um,

51:57 being directed towards,

51:58 um,

51:58 integrating components around GBV prevention

52:01 and response or stand-alone operations

52:03 on GBV prevention and response,

52:05 particularly in fragile and conflict-affected environments with high

52:08 rates of internal or,

52:10 or forced displacement.

52:12 I think some important examples are the health and gender support.

52:15 Project responding to the Rohingya crisis in Cox Bazaar.

52:18 I am leading a $70 million component

52:21 in a project in Ethiopia that is

52:24 uh focused on GBV prevention and response,

52:27 responding to the impacts of the conflict,

52:29 um,

52:30 in northern Ethiopia and extending from the conflict

52:33 between government and the Tigray Regional Administration.

52:36 Um,

52:37 so there is,

52:38 I think,

52:38 work done where I would say maybe not a great example.

52:41 Uh,

52:41 it's not so much as an Example,

52:42 but continuing challenges that we have and so even though we

52:45 have these really important examples in a growing evidence base of how

52:49 bank investments

52:51 can address

52:52 uh gender dimensions of forced displacement and the impacts of,

52:56 of the different drivers of forced displacement,

52:59 whether it's conflict or climate-related,

53:01 um,

53:02 I do think that there is still an incomplete understanding on how

53:06 important it is to address the gender dispensions of forced displacement.

53:10 Sorry,

53:11 how

53:11 important it is to address the gender dimensions

53:13 of forced displacement and how not doing so

53:16 can undermine

53:18 recovery,

53:18 resilience,

53:19 and then the broader development priorities in a given country.

53:22 Um,

53:22 and it's not just about giving intentional focus,

53:24 but also ensuring sufficient resources,

53:27 and that's something where we continue to have a bit of a challenge and discussion.

53:30 For the Ethiopia project I mentioned,

53:32 uh,

53:33 One of the main partners is obviously the Ministry of Finance,

53:36 and they wanted to slash the budget for the GBV component

53:39 because they didn't really understand why

53:41 we would prioritize investments on GBV programming

53:44 other

53:45 uh against other priorities that were perceived by the government.

53:49 So,

53:50 it's not a concrete example,

53:51 but it's,

53:51 it's an example of a challenge that we continue

53:53 to have as part of our dialogue with government

53:56 in this area.

53:57 So I'll stop there.

54:00 Fantastic,

54:00 Brianna.

54:01 Thank you so much.

54:01 We were all just nodding the whole time you were speaking,

54:04 so great.

54:05 Constance,

54:05 you work at UNHCR

54:07 so

54:08 you face this challenge every day to work on with

54:12 governments and partners to have them really take into account

54:16 the gender dimensions of force displacement.

54:18 Tell us a little bit about your experiences,

54:20 both

54:21 good and those that could be improved.

54:25 Thanks so much,

54:25 Diana,

54:26 for having me.

54:26 And I,

54:27 I think this is a,

54:27 it's a very special

54:29 space that you actually,

54:30 you know,

54:30 put together and I think it's a,

54:31 a wonderful group

54:33 and a very unique group composition,

54:35 and I,

54:35 I was think,

54:35 I think I was the one nodding the most when I was speaking.

54:39 Um,

54:39 so I'm trying not to repeat.

54:41 Um,

54:42 I'm not,

54:42 I'm not sure if I'm as optimistic in terms of progress,

54:45 to be very honest.

54:46 I do think we see

54:47 a wide variety of engagement when it comes to

54:50 governments.

54:51 Some are

54:53 You know,

54:53 very committed,

54:54 um,

54:55 but I think commitment overall is,

54:56 is really a challenge.

54:57 I also want to be very upfront,

54:59 um,

55:00 on that,

55:00 and I think

55:02 with forced displacement,

55:03 we also need to acknowledge that there are

55:05 pre-existing gender inequalities in the host community

55:09 and then refugees come.

55:11 With an experienced inequality in their country of origin.

55:14 It's something that is a dynamic that it's not so straightforward.

55:17 And on top of that,

55:19 we are dealing with intersectionalities.

55:21 So,

55:22 you know,

55:22 to develop programs that take all of that

55:24 into consideration really requires a holistic approach,

55:27 and that's not a given,

55:28 I would say.

55:30 Um,

55:31 I think also a little bit of what we hear is the

55:32 tendency that government's preferred angle is to address the gender dimensions of

55:38 forced displacement from a

55:40 self-reliance and economic empowerment angle.

55:43 Um,

55:44 and that makes a lot of sense because

55:45 it acknowledges the importance of rebuilding lives,

55:48 you know,

55:48 contributing to the host community,

55:50 to stability,

55:50 development,

55:51 and it also really does contribute to reducing

55:53 gender-based violence,

55:54 but there's more than that,

55:56 and that's a little bit where I want to take it.

55:58 Um,

55:58 we talked about legal frameworks at some point,

56:01 and there's actually been

56:03 Progress when we look at

56:04 removing

56:05 gender discrimination and nationality laws,

56:08 which is really

56:10 important because

56:11 it means women can confer

56:14 nationality to their children

56:16 on equal basis with men,

56:17 and that also means that we safeguard against,

56:19 um,

56:20 childhood

56:20 statelessness.

56:22 At the same time,

56:23 we did hear that forced displacement exacerbates GBV risks,

56:27 in particular for women and girls,

56:29 and

56:30 We did hear that inclusion in local and national service is really the way forward,

56:34 but

56:35 we have a long way to go.

56:37 If you look at the other picture of the legal

56:40 um framework situation,

56:41 we know that in 41% of the major refugee hosting countries

56:45 where UNHCR operates,

56:46 there is no legislation

56:48 on outlawing GBV.

56:50 And for example,

56:51 IP or domestic violence,

56:53 and even where we have laws,

56:55 it doesn't mean that the services are in place for survivors.

57:00 And the reason for that is,

57:01 and I think we may not somehow alluded to that is

57:03 gender and GP are not areas that are necessarily highly prioritized.

57:09 And

57:10 it has to come with resources,

57:11 but we often lack the resources.

57:14 Um,

57:14 so,

57:15 you know,

57:15 that's the reality we deal with,

57:16 and at the same time,

57:17 we also do not have the assessment tools to say,

57:19 listen,

57:20 if you

57:22 Include refugees into your response services if they exist.

57:26 This is how much it costs.

57:28 This is what you would save if you do it now and not wait for 10 or 20 years.

57:32 So we'll have a few things to catch up on.

57:34 But to come to your second question on a good example,

57:37 and I'm going to skip the negative example.

57:38 I'm sorry.

57:40 I actually would like to have Highlight,

57:42 um,

57:43 Chile in the Americas

57:45 as a champion leading

57:47 the thematic era on gender equality as part of the Quito Process,

57:51 and the Quito Process is very important for us because it brings together

57:55 certain governments in the Americas around the

57:58 um refugee and migrant crisis from Venezuela.

58:01 And these governments decided

58:03 to have a gender equality thematic area within that,

58:06 actually,

58:06 this year,

58:07 they decided to focus on protecting from gender-based violence,

58:10 and there was a meeting this year

58:11 with 30 ministries,

58:12 and actually,

58:13 you,

58:13 I think you know that,

58:14 um,

58:15 because

58:16 the World Bank was there,

58:17 and I,

58:17 I'll,

58:17 I'll come to that,

58:18 but what was

58:19 amazingly nice,

58:20 it's just not one government,

58:21 it's bringing a region together

58:23 to look at the risks that refugee women and migrant women face

58:27 in this context and also discuss how they can address it.

58:30 And the World Bank shared the,

58:32 you know,

58:32 the research

58:33 findings which was really important to inform the discussion.

58:37 Um,

58:37 we shared the UN UNHCR highest IGV assessment and the

58:41 countries shared their good examples from Brazil to Colombia,

58:44 Ecuador,

58:44 and the one I wanted to highlight is because it really,

58:47 I think,

58:48 sparked a lot of interest is,

58:50 you know,

58:50 the Brazilian government offers social assistance centers.

58:53 They provide multi,

58:54 uh,

58:54 sector response service to survivors,

58:57 and they do not discriminate by nationality or status.

59:00 Every woman or girl or survivor has access,

59:03 um,

59:03 to the services,

59:04 and that's what,

59:04 you know,

59:05 that's the future we,

59:06 we have in mind.

59:07 Um,

59:08 again,

59:08 I wanna comment actually the organization.

59:10 for bringing such a diverse group together,

59:12 I wanna emphasize that

59:14 our objectives are the same

59:16 and

59:17 our activities are complementary.

59:19 You know,

59:20 protection,

59:20 gender equality,

59:21 GBV,

59:21 they're all priorities independent if we're talking

59:24 about the humanitarian or the development agenda.

59:27 I think where there is scope for improvement

59:29 is to make this complementarity clear to.

59:32 refugee women and girls.

59:34 And someone mentioned it,

59:35 I think the Global Refugee Forum

59:37 and coming together under that framework is

59:39 a really important opportunity to demonstrate that.

59:41 And I wanna

59:42 close by encouraging you,

59:44 I think I shared in the materials a link

59:46 to a video between our,

59:48 the UNHCR's High Commissioner

59:50 and Anna Beer from the World Bank following their joint mission to Chad.

59:54 And there,

59:55 they outlined a model of collaboration and complementarity,

59:59 which for me is really

1:00:01 the blueprint for the future of our collaboration.

1:00:03 I really encourage you to watch that.

1:00:05 Thank you so much.

1:00:07 Thanks so much,

1:00:08 Constance.

1:00:08 I have that video on hand,

1:00:10 so I'm gonna drop it in the chat.

1:00:11 Thanks for sharing.

1:00:13 And I just wanna um pull out two things that you said that I think are super important.

1:00:17 Uh,

1:00:18 one,

1:00:19 not considering GBV and how that

1:00:21 might undermine activities around economic empowerment,

1:00:24 right?

1:00:24 So if we really think in simple terms,

1:00:27 someone that experiences intimate partner violence at home,

1:00:31 on the way to work,

1:00:33 sometimes at work,

1:00:34 and on the way back and then at home,

1:00:36 that person.

1:00:38 There's no way that they can be as productive after experiencing so much violence

1:00:43 at home,

1:00:43 at in,

1:00:44 in,

1:00:44 in different settings.

1:00:45 So we really have to address

1:00:47 GBV

1:00:48 to be

1:00:49 better able to achieve our development outcomes in several areas nutrition,

1:00:54 economic empowerment,

1:00:56 education,

1:00:56 uh,

1:00:57 stability all around.

1:00:58 So.

1:00:58 I think it's really interconnected with empowerment and gender equality.

1:01:02 So thanks for raising that.

1:01:03 And then the services,

1:01:05 having them in place doesn't mean that women will go to them

1:01:08 and also

1:01:09 they will need a little bit,

1:01:10 let's just be frank,

1:01:11 of adaptation

1:01:13 to address the different forms of violence and the different

1:01:16 situation that the women,

1:01:18 uh,

1:01:18 that.

1:01:18 are forcibly displaced are living in versus the host community.

1:01:22 So

1:01:22 we do think that's a sustainable model.

1:01:24 I do think I agree with you it's a long way away.

1:01:28 We have to take into account these issues around adaptation

1:01:31 and investment,

1:01:31 but I do think in the long run it is

1:01:34 the right,

1:01:34 um,

1:01:35 way forward.

1:01:36 So let me move now to Jocelyn.

1:01:38 Dawson,

1:01:39 director of Harvard Humanitarian Initiative

1:01:42 Program of gender.

1:01:44 And rights,

1:01:45 you must get all the governments coming to you for advice

1:01:48 on how to

1:01:49 implement

1:01:50 these research findings into their programs.

1:01:53 So share with us some of your experience

1:01:56 either with partners or with governments on how you've

1:01:58 helped um some organizations

1:02:01 integrate

1:02:02 the gender dimensions of forced displacement.

1:02:05 Well,

1:02:05 Diana,

1:02:05 I just want to say it's such a pleasure to be here with

1:02:07 this incredible group and hearing the kind of thinking that's coming out of

1:02:11 these results is really exciting.

1:02:13 So,

1:02:14 you know,

1:02:15 obviously,

1:02:15 I think the results of this project have shown that as a global community,

1:02:19 we are still grappling with how to fully recognize

1:02:22 and fully address the gender dimensions of forced displacement.

1:02:25 And we've certainly learned from this project that

1:02:27 there are many facets of this issue that

1:02:30 Merit deeper consideration and probably future work,

1:02:33 but there's a lot that we do know.

1:02:35 So,

1:02:36 as we've learned from our work in Mali,

1:02:38 Liberia,

1:02:38 DRC,

1:02:39 Sudan,

1:02:40 South Sudan,

1:02:40 Colombia,

1:02:41 and beyond,

1:02:43 we have learned that

1:02:44 both forced displacement.

1:02:46 As well as just living in a conflict-affected location,

1:02:50 independently and significantly heighten the risk of

1:02:53 multiple forms of violence for women.

1:02:55 That includes rape,

1:02:56 that includes intimate partner violence,

1:02:58 that includes

1:02:59 other forms of domestic violence.

1:03:01 And so,

1:03:01 one way that I use as almost a shorthand to remind myself that this occurs because,

1:03:06 you know,

1:03:07 the research results can be very um

1:03:10 You know,

1:03:11 complicated and you,

1:03:12 you can sometimes get lost trying to remember certain statistics.

1:03:15 What I tell myself is that

1:03:17 violence moves from the public sphere to the private sphere

1:03:21 during

1:03:22 and after conflict,

1:03:24 where it can remain at high levels

1:03:25 for years.

1:03:27 However,

1:03:28 as we know,

1:03:29 within

1:03:30 Um,

1:03:31 homes and kind of when women experience intimate partner violence,

1:03:35 these forms of abuse are often deeply hidden,

1:03:39 taboo to talk about,

1:03:40 hard to discover.

1:03:42 We know the statistics on underreporting.

1:03:45 And so it's important to keep in mind that,

1:03:47 you know,

1:03:47 we don't always need to,

1:03:49 um,

1:03:50 it's very helpful to do research on these issues,

1:03:52 but we don't always need to know the exact,

1:03:53 exact number.

1:03:54 We can just go ahead and

1:03:56 Acknowledge that multiple forms of gender-based violence are occurring in

1:04:00 contexts of displacement and conflict.

1:04:03 So,

1:04:04 while we can know that women experience some of

1:04:06 the most severe and long-term impacts of conflict,

1:04:08 we can also acknowledge that they are largely excluded from

1:04:13 peace processes,

1:04:14 post-conflict programming,

1:04:15 creation of long-term services,

1:04:17 and opportunities to get funding from the humanitarian system.

1:04:21 I'm gonna remind us all of a stat that I think we know and have taken to heart,

1:04:25 but in 2016,

1:04:26 2017,

1:04:27 and 2018,

1:04:28 funding for gender-based violence accounted for only

1:04:32 0.12% of humanitarian funding,

1:04:36 and a lot of people are like,

1:04:37 0,

1:04:37 12% of humanitarian funding.

1:04:39 No,

1:04:40 0.12% of humanitarian funding.

1:04:44 Um,

1:04:45 and so,

1:04:45 given that women do experience some of the

1:04:47 most brutal and long-lasting impacts of conflict,

1:04:49 they should,

1:04:49 you know,

1:04:50 obviously be empowered as vital actors and leaders

1:04:53 in all of these conflict and post-conflict policies and programmings.

1:04:57 And I do think that there is a

1:04:59 More positive example that comes from Colombia.

1:05:02 And we talked about this a little bit in our paper,

1:05:04 but this was a country where women were

1:05:07 empowered to,

1:05:09 you know,

1:05:09 um,

1:05:10 contribute to the broader peace agenda.

1:05:12 They engaged in successful negotiation of local cease.

1:05:15 Fires,

1:05:16 supported increased accountability

1:05:18 and public support for the peace deal.

1:05:21 Um,

1:05:21 we can also acknowledge that Colombia,

1:05:23 you know,

1:05:23 isn't a perfect,

1:05:24 perfect example because we still see extremely high levels of impunity,

1:05:27 lack of follow-up for,

1:05:29 um,

1:05:29 survivors and victims of violence,

1:05:31 etc.

1:05:32 Um.

1:05:33 And another example that really comes to mind for me,

1:05:36 as we are just tragically seeing play out in real time in the news at this moment

1:05:42 is in Ukraine,

1:05:43 right?

1:05:44 So,

1:05:45 this is something that the global community

1:05:47 has an opportunity to

1:05:49 take the lessons that we've learned

1:05:51 from the past and try to apply them now.

1:05:54 Having said that,

1:05:55 we know that um

1:05:57 The number of aid organizations working in Ukraine has

1:06:00 increased fivefold since the beginning of the invasion,

1:06:03 and more than 60% of these organizations are Ukrainian.

1:06:06 So,

1:06:07 that is,

1:06:07 I think.

1:06:09 Great news and um a successful story.

1:06:12 And then on the flip side,

1:06:13 you know,

1:06:13 to speak to your question,

1:06:15 Diane,

1:06:15 about positives and,

1:06:17 you know,

1:06:17 areas for improvement,

1:06:18 we also know that less than 1%

1:06:21 of the amount that has been tracked by the UN went to local

1:06:24 grassroots and women's actors.

1:06:26 And so,

1:06:27 I really feel that one of the ways forward with governments and local partners

1:06:31 is to

1:06:33 Track,

1:06:34 earmark,

1:06:35 create systems where we are sure that we are providing funding

1:06:40 to um

1:06:41 people who are the experts

1:06:43 in their own context,

1:06:45 which is,

1:06:45 of course,

1:06:45 you know,

1:06:46 women's organizations,

1:06:46 grassroots organizations,

1:06:48 etc.

1:06:48 And so really deepening

1:06:50 and strengthening the partnerships between the most

1:06:53 local actors and multilateral government institutions,

1:06:57 I think,

1:06:57 would be a positive way forward.

1:07:00 Thank you so much,

1:07:01 Justin.

1:07:01 It's great to see Latin America so well represented

1:07:05 in the discussion.

1:07:06 Um,

1:07:07 hopefully we can continue the progress forward.

1:07:11 So,

1:07:11 OK,

1:07:11 so we've all three of us,

1:07:13 or all three of you and myself have

1:07:15 talked about the importance of addressing gender-based violence,

1:07:18 but it's also quite.

1:07:19 Um,

1:07:19 challenging for governments to know how to do this well.

1:07:23 So I wanted to

1:07:24 ask

1:07:25 you all,

1:07:26 and now I'm gonna start with you,

1:07:28 Jocelyn,

1:07:29 what are the factors of success that you see in GBV programming

1:07:33 in forced to space communities and,

1:07:36 and potentially in host communities that could

1:07:38 apply to forced to space communities,

1:07:40 and what is the best bet for us to measure our success

1:07:44 in implementation of those GBV interventions?

1:07:48 Um,

1:07:49 thank you so much,

1:07:50 Diana,

1:07:50 and apologies,

1:07:51 everyone gets to listen to me just continue to

1:07:54 roll along

1:07:55 in my ideas,

1:07:56 but,

1:07:56 um,

1:07:57 you know,

1:07:57 I think

1:07:58 I,

1:07:59 having done

1:08:01 A lot of work across different contexts and doing

1:08:03 kind of systematic reviews of what have we learned from

1:08:07 work in humanitarian contexts.

1:08:09 I do think there are some

1:08:10 key

1:08:11 good practices and lessons learned that we can continue to revisit.

1:08:15 So,

1:08:15 we know that long-term programming is critical to

1:08:19 build the kind of deep infrastructure of supporting

1:08:23 women,

1:08:23 combating gender-based violence,

1:08:25 and addressing social norms in the long term,

1:08:27 you know,

1:08:28 that's like

1:08:29 the um

1:08:31 And the connective tissue of allowing societies to

1:08:34 recover from conflict and to empower women.

1:08:36 Um,

1:08:37 case management is a big part of long-term programming,

1:08:39 and it's really important for supporting women to

1:08:42 access

1:08:43 multiple forms of services,

1:08:44 which we know are so critical.

1:08:46 Um,

1:08:46 on that point,

1:08:47 building that out,

1:08:48 having

1:08:49 a holistic approach

1:08:51 to addressing,

1:08:52 um,

1:08:52 gender-based violence is so critical.

1:08:54 We've talked about

1:08:55 psychosocial services,

1:08:56 medical,

1:08:57 legal,

1:08:57 and economic empowerment.

1:08:59 When all of those are combined together in some way,

1:09:01 I think they are all mutually reinforcing and create kind of a virtuous cycle.

1:09:06 Um,

1:09:07 as we all know,

1:09:08 you know,

1:09:08 programming should be women-led

1:09:10 and um deeply embedded in communities.

1:09:13 So,

1:09:13 it's really critical to have programming that is,

1:09:16 um,

1:09:17 appropriate to its context.

1:09:18 I know both you and Constance

1:09:20 spoke really eloquently about that

1:09:23 just now.

1:09:24 Um,

1:09:24 I think one of the messages that came out from the previous comments was also around

1:09:28 adaptive programming.

1:09:30 So having the ability to try things.

1:09:33 Acknowledge if and when they're not working,

1:09:35 and then,

1:09:36 um,

1:09:36 adapt in partnership with local communities

1:09:39 to pivot,

1:09:40 you know,

1:09:40 every context is extraordinarily different.

1:09:43 And so,

1:09:43 while we know that there's a few

1:09:45 positive takeaways that tend to work across contexts,

1:09:48 the,

1:09:49 um,

1:09:50 there's a lot,

1:09:50 also a lot of room for adaptation,

1:09:52 etc.

1:09:53 Um.

1:09:55 And,

1:09:56 you know,

1:09:56 really briefly,

1:09:57 Diana,

1:09:57 just on the point about

1:09:59 measuring what success looks like,

1:10:01 I will say that

1:10:02 um two thoughts.

1:10:03 One is that

1:10:04 that can and should be defined by local communities,

1:10:07 and that is,

1:10:08 you know,

1:10:08 exciting to acknowledge that that might change from place to place,

1:10:11 and that will be defined by people,

1:10:13 the partners with whom we're working.

1:10:15 And I also want to note that there is a place for something we call proxy indicators,

1:10:19 so we don't have to ask over and over.

1:10:21 Over and over again,

1:10:22 these women to

1:10:23 tell us about these challenging and horrific experiences that they

1:10:26 have encountered,

1:10:28 but rather,

1:10:28 we can understand

1:10:30 um other ways of acknowledging community health,

1:10:33 community resilience and violence reduction.

1:10:35 For instance,

1:10:35 asking people

1:10:36 how safe they or their neighbor might feel walking to a certain service,

1:10:40 etc.

1:10:41 So,

1:10:41 you know,

1:10:41 thinking a little bit more um

1:10:44 Creatively around how we gather data.

1:10:46 Yeah,

1:10:47 and we were really innovative in that sense during COVID to

1:10:50 try to get those data so we can learn from there.

1:10:53 Miranna,

1:10:54 same question to you,

1:10:55 in your programming experience,

1:10:57 what are the key elements of GBV interventions that

1:10:59 are successful and how did you measure them?

1:11:02 Yeah,

1:11:03 and I think I'm gonna start by picking up on my last point,

1:11:06 which I think one of the most critical factors if

1:11:08 I'm advocating with government is ensuring that there's money,

1:11:11 uh,

1:11:11 so ensuring that there are sufficient resources

1:11:14 to enable programming at scale to meet,

1:11:17 especially in the context of displacement,

1:11:18 both the immediate needs that may be part of an emergency context,

1:11:22 but then also to enable

1:11:24 more strate strategic and system

1:11:27 strengthening approaches.

1:11:28 Um,

1:11:29 I think GBV,

1:11:29 I mean,

1:11:30 everyone here knows that they require high intensity.

1:11:32 Treatment,

1:11:33 um,

1:11:33 and that can often be expensive,

1:11:35 particularly in FCB setting where there may be additional layers of

1:11:38 security costs and also engagement with different types of partners,

1:11:42 uh,

1:11:43 and so this requires often more resources than

1:11:46 governments and sometimes our own bank staff expect.

1:11:49 Um,

1:11:49 so this is something that has to be front and

1:11:51 center of a conversation in an area I think.

1:11:55 In particular,

1:11:55 of advocacy for technical specialists and TTLs within the bank with our

1:12:00 own country management so that they're

1:12:02 well positioned to advocate for sufficient resources

1:12:04 with government and like I said,

1:12:06 particularly with ministries of finance.

1:12:08 I think critically institutional

1:12:11 setup matters

1:12:12 and this is through the lens of a World

1:12:14 Bank staffer where our main client is government.

1:12:17 Um,

1:12:17 finding a strong implementation agency or counterpart is critically important

1:12:22 and

1:12:24 There are some communities of the different

1:12:26 communities of thought within the bank.

1:12:27 I,

1:12:27 I understand reasons why investments in

1:12:31 gender machineries,

1:12:32 ministries of gender is actually quite important because they

1:12:35 need to have investment to help build their capacity,

1:12:37 but they oftentimes

1:12:40 do not necessarily have that capacity in place at the time of project development,

1:12:44 and

1:12:45 they typically will often have a mandate to coordinate,

1:12:48 but not directly to implement

1:12:50 uh GBV policies.

1:12:51 So

1:12:52 there needs to be Some scope and exploration of

1:12:55 alternative institutional homes,

1:12:58 I think,

1:12:58 for multi-sectoral interventions.

1:13:00 Um,

1:13:00 this could involve looking at strong sector,

1:13:03 the strong sectoral ministries that may be involved in,

1:13:06 obviously,

1:13:06 we naturally look at health as an important entry point,

1:13:09 uh,

1:13:10 for services,

1:13:11 um,

1:13:11 but I think this is an important consideration and

1:13:13 something that also sometimes requires a degree of advocacy,

1:13:16 first internally with our own teams

1:13:18 and with country management

1:13:20 who may want to default to those gender machineries,

1:13:22 but And

1:13:23 also obviously with government as well.

1:13:25 Um,

1:13:26 I have to say in the Ethiopian context,

1:13:27 I've been incredibly,

1:13:28 uh,

1:13:29 lucky with the implementation team that we have

1:13:31 with the Ministry of Women and Social Affairs,

1:13:33 but in the DRC,

1:13:34 for example,

1:13:35 the GBV Prevention and Response Project operated

1:13:38 through

1:13:39 the Fran Social,

1:13:40 which was a peristatal entity established really as

1:13:43 an implementing entity under the office of the,

1:13:45 I think the president.

1:13:47 Um,

1:13:47 so these are some considerations that,

1:13:49 that need

1:13:50 to be part of discussions with government.

1:13:52 Um,

1:13:52 a really important one,

1:13:54 and I think it's something that's critical to

1:13:56 embed in discussion with government very early,

1:13:59 is the critical importance of establishing partnerships

1:14:03 with multiple stakeholders,

1:14:05 including particularly specialized agencies,

1:14:07 NGOs,

1:14:08 sometimes faith-based institutions,

1:14:10 definitely women's-based organizations,

1:14:13 community-based organizations.

1:14:14 This is really important to allow government

1:14:17 Institutions

1:14:18 that may not have capacity for specific facets of GBV prevention and response

1:14:23 to draw on existing expertise for specialized services,

1:14:27 particularly around mental health,

1:14:28 psychosocial support,

1:14:30 particularly around prevention programming,

1:14:33 um,

1:14:34 where I think that there's strong concerns

1:14:36 about government taking on implementation capacity of prevention programming,

1:14:41 rightly so,

1:14:42 um,

1:14:42 but it Also allows for in the context of

1:14:45 emergency settings or humanitarian settings where we may engage,

1:14:49 it allows for government and

1:14:51 programs to build on existing networks that may exist to scale up what's being done.

1:14:55 And this is what we're doing particularly in Ethiopia.

1:14:57 We're focusing on five regions affected by conflict,

1:15:00 but in Tigray in particular,

1:15:02 because the government,

1:15:03 was one of the parties

1:15:05 um to the conflict with the regional administration.

1:15:08 Of Tigray,

1:15:09 uh,

1:15:10 the project set up in,

1:15:11 uh,

1:15:12 third-party implementation through UNFPA.

1:15:15 Um,

1:15:16 they were able to leverage their existing

1:15:18 partnerships with international and national NGOs,

1:15:21 um,

1:15:21 to enable immediate scale-up and delivery of GBV response services,

1:15:25 and this is something that they're continuing to develop and adopt over

1:15:29 time even as there is a transition to

1:15:32 the regional administration integrate.

1:15:34 Um,

1:15:35 another reason.

1:15:37 I'll make one more point.

1:15:39 Sorry.

1:15:40 Another reason why this is important is because this also

1:15:42 helps to ensure devolution of services to community level.

1:15:46 I think the DRC project is a really interesting model because it looks at

1:15:51 delivering services through multiple entry points.

1:15:53 So that's through the provincial health

1:15:55 departments and then healthcare providers,

1:15:56 so looking at the institutional structures in the health setting,

1:15:59 but it's also through parallel implementation through centers of Excellence,

1:16:03 including Pansy and Hal,

1:16:05 and then there's a really strong focus of community-based

1:16:07 actors and through an umbrella NGO and community-based organizations.

1:16:12 The reason why this is important is because one of

1:16:14 the big findings from previous work is that the,

1:16:17 the concentration

1:16:19 of,

1:16:19 of access points for survivors is really through centers of excellence,

1:16:23 and there weren't sufficient

1:16:25 uh entry.

1:16:25 Points for service delivery at the community level.

1:16:28 And I think when we're looking at measures of success,

1:16:30 just

1:16:30 picking up on something that Jocelyn said,

1:16:33 for me,

1:16:33 through this project,

1:16:34 we had 80% of survivors seeking care

1:16:37 through the community-based entry points that

1:16:39 were established through the project.

1:16:41 And there was a difference between where people sought

1:16:44 care for the types of violations they experienced.

1:16:46 So people coming with intimate partner.

1:16:48 Partner violence,

1:16:49 physical violence,

1:16:50 they often went through those community-based structures.

1:16:53 Those in need of more specialized care,

1:16:55 particularly for clinical management of rape and more severe forms

1:16:58 of impacts of sexual violence,

1:17:00 they would often then go to the centers of excellence.

1:17:02 So it really created multiple tiers

1:17:04 of options for survivors at community level.

1:17:07 I'll stop.

1:17:08 Thank you so much for Anna and Constance.

1:17:09 Over to you for a final words.

1:17:13 Oh wow,

1:17:13 thank you.

1:17:14 I think um

1:17:16 just to summarize that a little bit,

1:17:17 I think,

1:17:18 you know,

1:17:18 what,

1:17:18 what we need,

1:17:18 we talked about commitment in order for this to be uh successful.

1:17:22 Also,

1:17:23 I think activities have to be well coordinated

1:17:25 and we have to look at the complementarity,

1:17:26 so we're not duplicating

1:17:28 in a really,

1:17:29 you know,

1:17:29 kind of resource constrained environments.

1:17:31 I think we talked about well-designed programs that are contextual,

1:17:34 local,

1:17:35 and

1:17:36 adequately resourced.

1:17:37 I don't wanna talk about well-resourced,

1:17:38 but at least,

1:17:39 you know,

1:17:39 have the resources.

1:17:41 Um,

1:17:41 that they need.

1:17:43 We also talked about that they need to be

1:17:44 adapted to the realities of refugees and IDPs,

1:17:47 right?

1:17:47 What we learn a lot from refugee women is it depends

1:17:51 where they are on their journey,

1:17:53 how much time they have.

1:17:54 If they move onward,

1:17:55 it really,

1:17:56 you know,

1:17:56 that kind of really influences,

1:17:58 um,

1:17:58 the success of the program,

1:17:59 how stable the context is,

1:18:01 etc.

1:18:02 Um,

1:18:02 I also want to re-emphasize

1:18:04 absolutely the engagement of local actors,

1:18:07 you know,

1:18:07 they're so key,

1:18:08 not just as entry points,

1:18:09 they're key in providing interventions

1:18:11 and they're actually the best placed,

1:18:13 um,

1:18:14 in many,

1:18:14 many cases to not just message,

1:18:16 but,

1:18:16 you know,

1:18:17 um,

1:18:18 Implement activities as well,

1:18:20 and this is the sustainability model

1:18:22 that we need and we have quite a few,

1:18:24 in particular,

1:18:25 prevention programs that are run

1:18:27 um through that model like SASA and EMAP,

1:18:29 um,

1:18:29 that are very,

1:18:30 very effective

1:18:31 in communities,

1:18:33 um.

1:18:34 I also wanted to go back to a point that Jenny made because you ask us,

1:18:37 I think,

1:18:38 how do we measure success as well,

1:18:39 and I think

1:18:41 You know,

1:18:41 all these factors influence reporting behavior and we talked about that.

1:18:44 And looking at police reports or any other incident measure

1:18:48 is just not a good way of measuring success,

1:18:50 and I just thought it would be important

1:18:52 to emphasize that again and something that

1:18:54 I think Joceline tried to uh mention is there is,

1:18:59 for a long time,

1:19:00 there was a promotion of like

1:19:02 Measuring success by looking at what we call cap

1:19:05 scales and methodology where you look at knowledge,

1:19:07 attitudes,

1:19:08 and behavior.

1:19:09 These are like

1:19:09 often standardized global measures,

1:19:12 and they may still be quite relevant for research,

1:19:14 but in our context,

1:19:16 it's often very difficult to actually

1:19:19 have,

1:19:20 you know,

1:19:21 the frameworks in terms of measurement and

1:19:23 resources to really implement that over time.

1:19:25 I think it's still interesting to look at that and localize that.

1:19:28 But the measures I would like to maybe

1:19:30 promote from our end is,

1:19:32 you know,

1:19:32 they're easy measures for client satisfaction.

1:19:34 It should be a standard

1:19:35 in every

1:19:36 intervention that is provided that you ask your clients

1:19:39 at the end if they're satisfied with the services,

1:19:42 combined with

1:19:43 a measurement if services are actually available in a given context.

1:19:47 And for For example,

1:19:47 we know that

1:19:48 in 70% of our contexts,

1:19:50 there are services available,

1:19:52 but if you look at the satisfaction with the services,

1:19:54 that's a very different story.

1:19:56 So we have to,

1:19:56 I think we have to look at the

1:19:58 combination.

1:19:59 And

1:19:59 lastly,

1:20:00 I now I forget to mention that,

1:20:02 particularly from a risk mitigation perspective,

1:20:04 which is the responsibility of everyone.

1:20:07 Um,

1:20:08 I think proxy indicators are a really good way

1:20:10 to look at that,

1:20:11 but there's not just,

1:20:12 um,

1:20:13 yeah,

1:20:13 I don't recall,

1:20:14 uh,

1:20:14 who mentioned that,

1:20:15 but,

1:20:16 for example,

1:20:16 if you look at access to clean energy,

1:20:19 we know

1:20:20 if women and girls don't have access to clean energy,

1:20:23 their risks of people are much higher because they wander out.

1:20:26 To meet their basic needs and,

1:20:29 and I believe there was uh,

1:20:30 uh,

1:20:30 someone mentioned Kenya before and

1:20:33 particularly in Kenya,

1:20:33 we have such a small proportion,

1:20:35 I think 21% of the refugees that have access to clean energy

1:20:39 and we know

1:20:40 at the same time that means quite a high risk.

1:20:42 So these are also measures that give us a lot of information.

1:20:45 You know,

1:20:46 in terms of safe programming.

1:20:48 Thank you so much.

1:20:49 Thank you so much.

1:20:50 I've done a

1:20:51 horrible job at moderating,

1:20:52 but,

1:20:53 uh,

1:20:53 it was such a rich discussion that I wanna thank you all so much.

1:20:57 I

1:20:58 was so happy to hear your thoughts on this.

1:21:01 Uh,

1:21:01 Constance,

1:21:02 really just wanna pick.

1:21:02 Up on quality and availability of services as our measures of success,

1:21:07 um,

1:21:07 and also the use of those proxy indicators,

1:21:11 um,

1:21:11 Paola,

1:21:12 uh,

1:21:12 over

1:21:13 to you thank you so much for

1:21:16 Verenna Constance,

1:21:17 and Justin being here with us today.

1:21:18 It was fantastic.

1:21:22 Thank you.

1:21:23 Thank you,

1:21:23 Diana.

1:21:24 Uh,

1:21:24 that takes us to the end of the session.

1:21:26 I want to thank,

1:21:27 uh,

1:21:27 everyone,

1:21:27 the presenters,

1:21:28 uh,

1:21:29 the panelists,

1:21:30 as well as the people that helped organize.

1:21:32 We have a few,

1:21:33 um,

1:21:35 Links that we'll be posting in the chat.

1:21:37 One is to a questionnaire,

1:21:38 um,

1:21:39 um,

1:21:39 a post,

1:21:40 post,

1:21:40 uh,

1:21:41 post-learning session questionnaire.

1:21:43 I hope,

1:21:43 uh,

1:21:43 that's a fun exercise for you to take.

1:21:45 It's uh 10 questions.

1:21:46 Um,

1:21:47 And uh my colleague will be pasting that link in the chat momentarily.

1:21:52 We also have a feedback form that we kindly ask you to fill in,

1:21:55 and

1:21:56 that will help us improve in future events,

1:21:58 so your feedback is very important.

1:21:59 We hope you can do that as well.

1:22:02 And finally,

1:22:02 we'll paste uh a link to where you can find

1:22:05 all the resources behind today's session on our website.

1:22:09 Um,

1:22:10 and,

1:22:10 uh,

1:22:11 uh,

1:22:12 we hope to see you next week,

1:22:13 uh,

1:22:13 at the same time on Wednesday,

1:22:15 and we'll have a session focusing on

1:22:17 impact evaluation in force displacement context.

1:22:20 And,

1:22:21 again,

1:22:21 on our website,

1:22:22 you can find,

1:22:23 uh,

1:22:23 the registration form,

1:22:24 uh,

1:22:24 and we hope many of you can attend.

1:22:26 Again,

1:22:27 thanks to everyone,

1:22:27 panelists,

1:22:28 speakers,

1:22:29 people who helped organize and participants.

1:22:31 Um,

1:22:32 we hope you enjoyed the session and we

1:22:35 hope to see you,

1:22:35 um,

1:22:36 in the future modules.

1:22:38 Thank you and bye.

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transcript
And good evening, depending on where uh you're joining from. Welcome to the second module of a learning program called Learning for the Ambulance on Force Displacement. Uh, the training program is organized by the Building the Evidence on Force Displacement Program, which is a research program, a partnership between the UK government, the UNHCR, and the World Bank, and in collaboration with the World Bank, UNHCR Joint Data Center on Force Displacement. My name is Paula Elis. Uh, I am an impact evaluation specialist with the Building the Evidence Program and the World Bank FCD Group. I am joined today by Jenny Krugman, who is a senior fellow at the Brookings Institution and a former director of gender and Development at the World Bank. Jenny will be uh leading the delivery of today's uh training session. Before we get started, I'd like to go uh through a little bit the logistics of the meetings. Uh, kindly know that the meeting is being recorded. The recording will be posted on the, um, uh, training program website. Um, however, discussions that will be had in the, uh, breakout rooms will not be recorded. Um, you are encouraged to keep your camera on. Uh, that makes it nice for the speakers to see directly their audience. Uh, and kindly also make sure to, um, that your microphone is on mute when you're not speaking. We're going to have 90 minutes for this session. There's going to be opportunities for, uh, to ask questions throughout and you can do that by raising your hand, um, or, um, by typing them directly in the chat, which will be monitored. And kindly, uh, we wanted to ask as well if you can rename yourself by, um, typing your name and your affiliation and to do that in case Zoom has done it for you. To do that, you right click on the three dots that are next to your name, uh, and you, and you type in. Thanks for, for doing that. And um, uh, we'd like to invite you as well to Introduce yourselves in the chat, type your name, your affiliation, where you're joining from, uh, so that we all get acquainted with the, with each other. Uh, again, welcome to today's module on, uh, force displacement and gender. Uh, this is the 2nd module in a series of 8. we started last week on Wednesday, and this will be a, uh, Wednesday, uh, meeting, uh, reoccurrence. Um, I don't see. Uh, any of you introducing in the chat. So let me just say it again. It'd be nice if you can come in and uh say who you are and, uh, uh, your work and the organization you work with and where you're joining from. That's great. Thanks, uh, for doing that. And, uh, also, uh, I don't see many cameras on. Maybe that's just my, my Zoom, but uh please do that if you're able. Um, and, uh, I'll stop there and uh give the floor to Jenny. Uh, she's going to be leading the delivery of today's module. And um, Uh, yes, uh, I wish everyone to enjoy the session and we meet back again in the end. Over to you, Jenny. Thank you. Thanks so much, Paula, and thanks very much uh to the World Bank and UNHCR and of course the support of the UK government which enabled us to um explore the gender dimensions of forced displacement. Um, I've been working on this issue now for several years together with, um, Diana Rungo who's going to be, um, Uh, leading the, the panel discussion, um, later, uh, in the session, as well as Lucia Hanna, um, and, uh, had the pleasure of working with a number of the people who are involved in today's session, and including, uh, Jocelyn Kelly from Harvard. So, it's, um, it's very nice to have the opportunity, uh, to share some of these findings, and also, I think, to have some Um, discussion and, um, uh, feedback, uh, and some learning around, um, some of the, some of the key findings. The way we've, uh, structured the session is, um, to focus initially, um, on the headline findings. It was quite a broad program of research on the gender dimensions of, of forced displacement, um. So I'll be looking uh at the findings around uh the risks of poverty and constraints on livelihoods, uh, that'll be followed by um, a small group breakup to which, uh, each of you will be randomly assigned, and then we'll come back, um, and focus on gender-based violence, um. Again, highlighting the findings from our recent empirical research, and then turning to an expert panel, which includes um some great operational experience, um, um, repre senior representation from UNHCR as well as, um, uh, leading academics. And then at the end, we're going to have a, a very quick quiz. I promise it's not too hard, it's multiple choice, um, and Paula will also wrap up then. So, um, let me just turn then to, uh, the research program that I mentioned, um, which was started or launched several years ago, uh, as I mentioned with the support of, um, the UK government, which enabled us to, I think, Frankly, for the first time, um, undertake deep, uh, investigations across, um, uh, multiple countries to try and look at the ways in which forced displacement has differential effects, um, and we structured the work around, um, Um, investigations, into poverty and different dimensions of poverty, into livelihoods. Um, we had interesting papers as well, about impacts on norms, as well as several, um, investigations into gender-based violence. And we tried to keep, um, the policy and programming implications at the forefront, um, of the work as well. And so, I'll try and bring both of those aspects into, um, the discussion today. So as I mentioned, um, we had a number of countries subject to investigation, um, so we did detailed, kind of country level investigations in 8 countries, and then we also had several papers which undertook, um, Uh, comparative studies across, uh, several countries at a time, and they covered a total of 17 countries. Uh, I think a couple of points to make at the outset are that we used, um, existing data sets. Uh, we didn't include, um, newly, uh, commissioned or collected data. I know the number of you, uh, participated in the session last week and would be familiar with, um, Uh, a number of the, both opportunities and constraints that we face on the data front. Um, the information that we were using was collected mainly at the household level, but also, um, uh, within the households, um, collecting, uh, individual level data, um, and then we used, um, in a couple of cases, um, uh, the, uh, labor force surveys and, um, school surveys as well. Um, I think the other point I want to make at the outset is that most of the data that we're exploring uh pertain to internally displaced people rather than refugees. Um, and I'll try and be explicit throughout, um, and distinguish, um, where there are differences, but, uh, for the most part, um, and indeed largely due to data constraints, um, we are presenting results about, um, internal displacement. So, uh, let me kind of turn now to, uh, the results around, um, poverty and inequality. Uh, we had several papers here. Uh, we had the good fortune of being able to work with the Oxford Poverty and Human Development Initiative, Sabina Alkari and colleagues. And what they did was, um, Further developed and adapt the multi-dimensional poverty index, uh, which has been used in a range of contexts. Some of you may be familiar with, um, uh, how that's been used in, in a variety of settings, and it's published by the Global Human Development Report, um, among other. Um, uh, venues and of course, explicitly recognized in sustainable development goals. So what they did was develop a new version of the index and apply that to 5 African countries, which I've listed here. And what we were able to do was systematically compare displaced, and host households, and I'll turn to the results of that in a moment. Um, we also undertook, um, Studies looking at monetary poverty. So this is the, if you like, the more traditional measure of poverty often used by the World Bank in two settings, Syria and Jordan, um, again, um, using innovative methods which I think provided important insight. So let me just highlight the key findings on the monetary poverty side. Um, I think one important and possibly surprising finding is that the gender of the household head. Was not always the sole predictor of, of poverty risk, or, um, who was worst off. Uh, and in fact, in, um, a couple of settings, specifically Somalia and Jordan, um, it was the case that male-headed households, uh, tended to be, um, income poorer than female-headed households. At the same time, uh, we did find that gender does influence poverty risk, and indeed, uh, particular characteristics. So for example, Um, women, um, who were single and also with children in the household were much more likely to be poor, and the same was true, um, for IDP widows, uh, living outside of IDP settlements. Um, and then a more general finding which I think is important to underline is, and it relates to, um, our focus on livelihoods, is that having income earners in the household is very important for reducing poverty risk, um, whether these be male or female. Income earners, uh, and that was true both for displaced and non-displaced households. Interestingly, however, what we found was that for IDP households, it was actually female earners who reduced the poverty impact the most, um, whereas among non-displaced households, More, having more male earners, um, was associated with lower risk. So there's some interesting patterns which don't necessarily, um, uh, align with, um, pre-existing expectations. That was on the monetary poverty side. Turning now to the multi-dimensional poverty, um, I don't have time to go into the details of the methodology, but basically it captures measures of well-being across health, education, living standards, and financial security, and it does this, uh, where possible at the individual level, um, but some dimensions are only captured at the, um, household level. So for example, access to water or, or having a flush toilet or the type of flooring and so on. Um, and here, The findings across the five countries that I mentioned earlier were really quite striking, um, possibly not surprising, uh, that displacement was associated with, uh, worse, um, Uh, deprivation status, so much higher risks of, um, multi-dimensional poverty, however, the influence of gender tended to vary, uh, so in some cases, um, uh, Households, um, girls in households and women in households were worse off in some other dimensions, not necessarily. It seemed to be worst affected, um, uh, in the domain of education, in particular, girls' schooling, uh, being most disrupted by displacement. Um, and what we also found, uh, through this analysis was that women were less likely to have legal identification, um, and access to employment, um, if they were displaced relative to if they were not displaced. Um, and I think this is quite a nice summary of the findings on the multi-dimensional. Poverty. So basically, this is by country. So Ethiopia, it was in northeast Nigeria, Somalia, South Sudan, and Sudan. The darker bars here indicate the displaced. The brown is the women, the black is the men. So broadly speaking, you can see that, well, the overall picture is that the displaced are worst off. Overall, um, in some cases, the women are worse off, in some cases, they're quite similar, um, and then we can also see as well, um, with respect to host households, uh, oftentimes, um, well, not oftentimes, in, In some of the cases, the women are worst off. This is the, the kind of light orange relative to the green. Uh, in some cases, they're pretty similar, as in northeast Nigeria and South Sudan. So these are the findings with respect to, um, multi-dimensional poverty, um, and just to flag that in all of these cases, um, all of these settings, um, the comparison here is with respect to, um, internally displaced people relative to, um, Uh, host community, except in the case of Ethiopia, um, where there was data on refugees. Um, so I've already alluded to the importance of livelihoods and so wanted now to share with you the results that we found on those fronts. We had several investigations in Darfur, Sudan, um, in Ethiopia, in Somalia, and northeast Nigeria. And here, what we found is that there are indeed significant constraints on um the economic opportunities of displaced women, um, especially because of their limited education levels, um, again, varying by setting, uh, and oftentimes as well because of the very substantial, uh, care responsibilities that they were carrying in particular for, for children. Um, and we found this in, in Ethiopia, among refugees. Um, and, uh, it, what seemed to be happening was that gender norms were, um, limiting women's, uh, opportunities outside the home, and as well as is the case in most settings around the world, meant that they were bearing, um, uh, the care responsibilities at home. Um. What we found in Somalia, um, was that, um, and elsewhere, is that participation in paid work is indeed important, um, in reducing poverty risk. Uh, but what we also found is that, uh, the types of opportunities available for women, or in which they're engaged, um, actually had very low earnings relative to men. Um, so, The impacts on poverty were less than, uh, would otherwise have been the case. Um, and so you can see here, um, uh, the results in the graph, um, which is a comparison between, uh, IDPs and hosts. This is in the case of, uh, Darfur. And so you can see for men, um, quite similar rates of, um, employment, um, and indeed, um, uh, uh. Between, with the IDPs and hosts, whereas for women, um, the women were actually working at, at higher rates, so that's kind of an interesting finding there. However, when we look at the poverty rates, um, in both cases, uh, for men and for women, um, there are higher rates of poverty, uh, among the displaced, um, Uh, relative to the host communities, and, um, this is despite the fact that they're working at least as much as, um, the host communities, so that tends to, um, point to low earnings, of course, as a, um, as a, um, characteristic of the, the opportunities which are available. Um, so, as I mentioned, um, the women in Darfur were working more, um, than the non-IDP women, but, um, but more likely to be poor still. Um, and what we found in, um, Ethiopia, which is not shown in the graph here, is that refugees were actually less likely to be employed. Um, this is data from 2018, I should add, or, or 2017, uh, so obviously prior to the The current crisis, um, But, um, interestingly, the gender gaps in employment were larger among hosts than refugees. Um, so overall the displaced were less likely to be, to be working, um, but the host women were also less likely. To be working. Um, so what we wanted to do now to try and, uh, uh, kind of enable exchange, um, and, um, uh, some, uh, interaction in the session, was to ask you to break out into small groups, um, and our, um, uh, Natalia, uh, who's providing excellent technical support, will push you into a group, um, and so we'll basically divide you up, um, so there's evenly signed. Um, size groups. And what I, what we would like you to discuss, um, are these two points. Um, firstly, what, if anything, has surprised you so far about the, um, the findings that I've shared. And secondly, although we've not talked about this, how would you advise a government that wanted to address these gender disadvantages and poverty and livelihoods in displacement settings? What would you advise them to do? Um, I would, um, request that each Group, choose a rapporteur at the beginning, um, someone to report back to the plenary, um, when we return. Um, it'll just be a very short report back, um, you know, 30 seconds or so. So just bang bang, uh, share what you discussed in the group, um, and then, uh, we'll move on to the focus in, um, On, um, gender-based violence. Uh, I think we'll have about 8 minutes or so, uh, for the breakup. Um, and if you have questions, please come back, um, and, um, ask, uh, myself or one of the other resource people can also, uh, respond to those. So, Natalia, over to you to, um, set up the, The breakout groups. OK. Um, I think we have Everybody back in the plenary? Is that right? Uh, can I ask, um, group one? To report back, uh, that was Clara, Diana, Mari, Mohammad, Omar, Sharon, and Zina. Uh, sure. Hi, hi everybody. Um, no, we had a really interesting discussion around, um, you know, the what we would advise a government. Um, I think very much we all were in agreement that all kind of livelihood, um, programming really needs to take an AGD approach, so like looking at age, gender, and diversity. Um, so it's not just about creating a program that is specific for women, but it's really looking at the holistic program and making sure that, um, we're thinking. Thinking through how do different recipients in, in households um have acceptance into these programs and then we also talked a little bit about, you know, ensuring, um, host communities and um displaced communities receive equal access to whatever programming is being introduced, so more of an area-based approach rather than a status approach. Thank you. OK, thank you so much. Um, group two. Ahmed, Elizabeth, Nanda, uh, Reddit Silva, Sylvia. Hello, I, I'll report. So basically for the first question, I guess it was related to when it, looking at the graph when it that represented the application of the research on the five countries, we were, at least myself and some of the colleagues were interested that there is no pattern that can be Describing the situation exactly across every place, at least when we're looking at it, there was in certain areas more women have more in certain areas, local is a result between the displaced population and most communities are closed and so we could in a way there is no significant at least. pattern that's consistent across the board. Second element is related to the second set of graphs is, it's most clear is that there is higher poverty rates in the displaced populations in generally. And this is where it came that women started to go into labor market or women, women, earner women into, jumped into labor market trying to close the poverty gap. Uh, so in many cases the jump into labor market is not because of policy or not because of uh enhancement of programs, it's just an, an attempt to with what is whatever available to close that gap. on the advice to the government, I guess we as the first group, social cohesion implemented in the program, so it's more inclusive programs not dependent on certain status but also directed into incorporating the displaced population within same footage with the host community in general and the other element or the other point, especially in A refugee displaced population is the enhancement of documentation or improving the access to services when it comes to documentation. This is one of the colleagues who are reporting specifically within a refugee situation. Normally this IDB situation are are from the same government or same country. They have better access to labor market or and other elements than displaced population without proper documentation. Thank you. Great. Thank you. Uh, these are great report backs. Uh, group 3, Do you want to go ahead? That was Alan, actually, I can't see all the, um, Uh, Aswan Dao, Maha Nan. Uh, and an acronym. I can't see that. So, um, Thank you, thank you, Jenny. Um, so, group three, we have quite an interesting discussion. Um, um, some of the few things that came out that surprised or that, um, were interesting from your presentation, um, was centered around the, the fact that women in displa, uh, dis displaced women, um, were working, um, At a higher rate than um than the women in the host community, um, but still remained uh poorer than the host community. This came as um one of the issues that was, was surprising. In relation to this, I think there was some curiosity around uh whether the cause for, for this um statistic was because of The humanitarian and development interventions uh that were targeted at um displaced women and also around the fact that maybe displaced women had uh a certain sense of urgency, um, to reestablish their lives. Um, and so maybe that resulted in, in them, uh, being more active, uh, in terms of finding, finding work or employment. Another thing that came um by way of surprise was uh the point about the household income in displacement, um, that registered that, um, male-headed households tended to have um a lower household income compared to female-headed households. Um, and, uh, the point was raised that this kind of Displays the, the anecdotal narrative, um, that seemed to suggest that um male-headed households or male adult males in households uh tended to result in uh higher income. So it was a very interesting finding. Um, one advice that we thought would be very helpful to the government, uh, I'm sorry, the comments that came in our book were made by Maya from the Norwegian Embassy, um, And also in Uganda and also our colleague Nuran um in Mali. Um, um, and one of the advice that came um up in the group that I find was very useful was, um, in align in alignment or in um With regards to the GCR, the Global Compact on refugees in particular, um, the, the aim of having, um, displaced persons integrated into national development plans, uh, or local or regional development plans was very, um, instrumental in ensuring that the interventions that are made to address issues like poverty are sustainable, um, and don't fizzle out when humanitarian support, uh, dries up. Uh, and, um. Our colleague Nan from, um, from Mali gave a very excellent example, uh, citing the fact that in Mali, um, the government was, um, receptive to, uh, allowing women to open bank accounts, um, and just so that enabled them to have that financial inclusion and security within the national systems, which I know is a barrier in some countries where, uh, they are excluded from, uh, from being, uh, from having access to some of these integrated services. Thank you. Great. Uh, really interesting discussions. Um, we're a little bit short on time, so we'll move to, to group 4, and then Group 5. In group 4, we had Laura, Nana Tebe, uh, Rosa and Victoria. Hi, I'm reporting, uh, though, uh, inputs came from, uh, Rosa and Victoria. Um, the things that, uh, we talked about, uh, in terms of, uh, question one was that women worked almost the same as men, um, and that IDPs earned less than hosts. Um, and, and, um, a, a solution, uh, related to, to gender norms, um, which, which are probably hard, uh, to, to tackle since they are structural issues, was that they should be tackled through education, but also by supporting, uh, women-led businesses, so that's advice for, for governments. And, uh, a second, uh, surprising finding was that, um, There was a difference between monetary and multi dimensional poverty, um, and something along those lines were also mentioned by the previous group. The female-headed households were better off in terms of monetary poverty than male-headed households, um, while in terms of multi-dimensional poverty, they were worse off. Uh, but I wanted to invite Victoria who brought up this point to maybe add to it. Uh, thank you, Laura and Jenny, I'll try to be quick. What it's why it surprised me that there is a contradiction that in monetary poverty, female headed households are better off, while the finding from the multi-dimensional poverty speaks of limited access to legal identification and access to employment. So how, you know, is it the management of the budget, you know, in the female household. Is better or what leads, you know, to this difference, of course, you know, girls don't have access to education, you know, there's less access to maybe we're talking about formal employment or informal employment opportunities for women here, but then at the same time the female headed households are still better off monetary wise in uh when we talk about monetary poverty. I think just one point I should have been more clear. This was just in one particular setting, um, in the case of Somalia. So in other settings we've actually found that female headed, Um, are worse off. So I think the point that I was trying to make is that they're not always worse off. Um, and I think that the common theme here is that, given the diversity of findings across different settings, um, it is important to undertake country and context-specific analysis to really understand. Um, what is going on and in turn, what the drivers are. Um, so sorry if I misled you on the, um, on the monetary poverty. It varied across circumstances, but there were some surprising findings in the sense that, um, uh, in at least one setting, um, the, um, the monetary poverty rates were higher among, um, the, uh, female, the male-headed households. So let me stop there and turn to, I guess, group five. Sure, I will, uh, report from Group 5. we have discussed many of the same things as the other groups, but, uh, one thing that the members were surprised about was the little difference between the availability of livelihood activities and or formal employment. We weren't sure about that for both host community women and IDP women because we assume that it would be lower for IDP women. Uh, second, would, uh, same as the group three talked about was also women-led households and, uh, how the poverty rates would be less, uh, when you had an employed or a woman with an income. Um. In relation to that, we looked at some, uh, some suggestions for government uh where 2 would look at the last surprise, so we would target more of these women-led businesses and income opportunities for women, women. Uh, but we also talked shortly about the need to help governments to have proper safety nets for both IDPs and host communities when it comes to incomes, as it is so important for the level of poverty. Thank you. If someone wants to add something from my group, please do so. I think that's great. Um, and, I mean, the nice thing is that, you know, there are a series of subsequent sessions, including those focused on livelihoods and jobs, um, as well as social protection, which will enable you to, to dive more deeply into, um, uh, the issues surrounding, uh, that type of programming. Just on the livelihoods and women accessing, um, Work, I think it's important to underline that the what we have there is just a binary variable, so it's engaged in work. There's a whole range of different types of work, and indeed some of that is very lowly paid. And, um, you know, just eking out, um, kind of activities, uh, either self-employed or in some type of family, um, enterprise. So, um, there's a whole range, it's not only formal employment, um, it's a whole range of informal and, and other livelihood activities, um, which may account for the fact that kind of women are managing to find something, um, uh, to help support their households. Um, I don't want to, um, constrain our panel too much, uh, in terms of time, so I'm going to move fairly quickly. Uh, now through a series of slides about gender-based violence. Um, what I'm going to do is to present some definitions, um, although I'm sure that many of you are familiar, uh, with the lay of the land here. Um, I'm going to present some key findings, um, but not go into too much detail because we have Jocelyn, and Diana who were very much engaged and indeed leading this research. Um, and then talk as well about some of the implications for policy and programming, but again, we have excellent, uh, folks on the panel, um, Verena and Constance, who can, who can speak more to that. So, apologies for running through this relatively quickly. We'll, of course, share the slides afterwards, and, um, Uh, there are resources and, um, a number of, uh, references that I encourage you to explore if you're interested. Um, so, beginning with the definitions, um, there are definitions adopted at the international level, which I've shown here on the slide. I won't go through in detail. Um, as, uh, so these have been adopted, uh, by the World Health Organization, um, a declaration now. 30 years ago by the UN General Assembly, um, as well as the guidance provided by the interagency Standing Committee, um, which goes on to provide kind of operational guidance for responses, and I think the important point. To underline here that it's of course fixed physical and sexual harm, but it extends to psychological and emotional violence as well, um, and it can occur in the public or in the private spheres. So, uh, the private spheres, of course, um, point. To, um, intimate partner violence, which was actually, uh, the area of focus for the work that we were doing, um, uh, under this, um, research program, um, and not, we weren't looking at, for example, abuses inflicted by, um, in public spaces, uh, by, by, for example, peacekeepers or, um, um, warring parties, um. The forms of GBV, I think are usefully outlined as well, um, in the, in the agency's, uh, guidelines. Um, and you can see here that it ranges from, um, from rape through to unwanted touching, as well as, um, early marriage, early enforced marriage, and female genital, uh, mutilation. Um, Men can experience violence as well as women, but the vast majority of victims and survivors are indeed women and girls, and as I mentioned, the focus of what I'm going to be talking about now is very much on the intimate partner violence, so that's inflicted. By a spouse, by a live-in partner or boyfriend, um, and then when we look at the reporting and you'll see some of the rates that, um, so-called prevalence rates, um, that have been captured through population surveys, um, that's typically done in terms of the last 12 months. So have you experienced these various types of violence in the past 12 months, and questions have also been asked and sometimes reported. Um, as, as a lifetime rate. So, to kind of cut to the chase in terms of, um, the, the overall findings, you can see here across a whole range of countries, the comparison. This is just in terms of, um, Crude rates of violence, if you like, not with any controls, uh, comparing uh the prevalence, um, The past year prevalence, so this is just in the last, uh, 12 months, uh, the green bars showed the rates reported by, um, or experienced by displaced women, uh, and the orange, um, show, uh, the rates reported among, uh, host communities. So you can see here, on the one hand, systematically, um, much higher rates in every case, uh, except, um, Uh, Ethiopia, and Mali here, but we'll talk about that in a moment, um, of, um, experiences of intimate partner violence, but also, I think, very interestingly, um, that, um, there's also significant variation across countries. So much lower rates, for example, reported here for Nigeria, relative to, say, for example, South Sudan, or DRC or indeed Liberia. What we were measuring here in the case, cases of Mali and Nigeria, we didn't have a direct measure of displacement, so it was proximity to conflict and measures of conflict-related deaths. So this is not. Uh, so it's a slightly different measure, which may also account for, um, the somewhat different results, uh, in those cases. Um, I think Dana and others can talk much more to, um, uh, to the underlying drivers and so on. So, I'll just move through this fairly quickly, but there are some known risk factors associated with violence, including stress, including, um, uh, poverty, including, um, Uh, availability of social networks and so on. And so, as well as kind of disruption to, to norms, um, and relationships. So all of these things, obviously can be affected by displacement, and may well lead, may well be associated, um, with higher incidence and prevalence of, of intimate partner violence. Um, this is just an overview slide, uh, that shows. to you that the methods used in each of the studies, uh, and we have the experts on the panel, so they can go into that in more detail, but you can see that it was, um, statistical research based on existing data, which allowed, I think, um, quite careful analysis, um, and, um, kind of robust results in terms of, um, the, the changes in likelihoods over time. Uh, we have a comparison paper for Colombia and Liberia, um, showing, uh, much worse odds among, uh, women who were displaced in, in both of those settings. Of course, both of those characterized by significant conflict as well as displacement, uh, but also quite different in many ways. So, it's interesting, uh, to think about that. Um, what we, uh, looked at in Mali, um, was in terms of, um, The um Uh, the effects of living in a, um, an area that was, um, affected, um, uh, by conflict. Uh, the results here are, um, I think, um, quite interesting. What we did find, what I showed you actually in the graph, um, was, um, the crude differences in terms of rates. When you actually control, um, for various factors, um, which we know are normally associated with intimate partner violence, there's actually a higher risk of violence. Among women who were living in a conflict affected area. So whilst you might not see that overall in terms of the population, once you undertake more careful analysis, indeed there were high risks being experienced in those circumstances. I won't go into the DRC results because we have Jocelyn on the panel, but again this was a very, I think, important. Um, study in part as well, because what they, what Jocelyn and Diana and colleagues were able to do was to look at the combination of displacement and exposure to conflict and how that affected, uh, the, the risk of conflict. Uh, again, introducing a number of controls and known risk factors, um, and being being able to isolate, uh, the effect of displacement and more exposure on the risk of, um, of IPV. Um, and the upshot there was that these factors both independently increased the risk of IPV, um, and it was both present and past displacement, um, which were, um, worsening this risk. Um, and then the final part here, I know I'm moving way too quickly here, but I just wanted to remind you that the international legal framework around, um, The condemnation of violence and the prohibition of violence is indeed very clear by now. Most countries now have laws in place which prohibit violence. Many of these countries also criminalize violence, so this is the share of countries in different regions, East Asia, Europe, among the OECD countries in sub-Saharan Africa, which have, which has now has. Place. You can see that many countries, although somewhat, um, also have criminal, criminal penalties, um, in place, and this, uh, information is tracked systematically by the World Bank, under the Women Business and the Law Program. But the other point I wanted to make here is that even where it is banned and criminalized, very few women report. to the police. So here actually the heading says low rates, but I would say extremely low rates of reporting of intimate partner violence by survivors. So the demographic and Health Survey actually asks a question about this, and you can see that, you know, very negligible shares of women who are experiencing violence are actually reporting. Um, uh, or seeking help, um, which I think has very important implications for, um, policy and programming, so that's why I wanted to, to flag that here, and I'm going to stop, I think, at this slide, um. And just share the rest with you virtually. Um, these are some headlines from a policy brief that we put together to, to highlight what we thought would be important policy and programming implications of The findings on gender-based violence in the context of displacement, um, starting with the importance of having national laws and policies being in place, and there's a number of you indicated from the report back, integrating displaced people, uh, explicitly so that they're protected and included in those laws. Investments in women's groups, which are deliberately, um, can enable ways of um Uh, reaching out to, uh, and connecting with forcibly displaced women. Um, access to services is important, and I think that Verena, uh, can share the example of, uh, DRC, which I was going to share, but I'll allow her to do, uh, because I'm running out of time, um, and the ways in which that can be done, um, both obviously in emergency situations, but of course on sustained basis as well. Um, prevention efforts are clearly very important, um, and we're learning a lot there about the ways in which harmful norms can be affected and changed at the community level, uh, the role of safe spaces and so on, adapted appropriately, uh, to, to displacement settings. And then finally and not least, um, is the importance of capturing, um, Uh, these risks in, um, the ways that the data is collected. What I've focused on so far is very much quantitative data, um, as you might have surmised by now, we undertook this research basically during the COVID period, which severely limited, Our ability to do, uh, qualitative work, although more recent work, uh, that I think Diana can share from, um, Colombia would help to kind of redress that a bit. Uh, but let me stop here, um, and I'll just flick through to Our panel, and, um, and hand over to Diana. Thanks, Diana. Thanks so much, Jenny. I hope I can keep perfectly on time like you did. Um, I am so happy to be chairing this panel today because not only are, are we speaking with three amazing women with amazing careers, but they all happen. To be my friends or I consider them my friends. Um, so we have Doctor Justin Kelly from Harvard Humanitarian Initiative. She's the director there of the Gender Rights and Resilience Program, and she designs and implements projects to examine issues related to gender, peace, and security in fragile states. We have Constance Qush from UNHCR. She's a senior protection officer there. Um, and she now is the head of the GBV unit within the division for International Protection at UNHCR headquarters, and it's been a pleasure to collaborate with her over the years through the gender dimensions of Force Displacement and Verenna Phipps, a colleague and. Friend who's been actually leading the charge on a lot of the implementation of work in fragile and conflict affected states looking at gender issues, gender-based violence, youth at risk, forced displacement. So this panel is really to turn from what do we do, what can governments and programmers do with these data. And what we've learned through the gender dimensions of force displacement to adapt and inform their programs moving forward. So we have 3 specialists that work on this on a daily basis to tell us how they think, uh, we should be taking into account the gender dimensions of force displacement or how they have taken them into account in the advice that they give governments, um, or other program partners. So let me start off and hopefully some of those areas that Jenny alluded to within uh the conversation will be pulled out a bit more in the conversation, um, and happy to see if you all have questions in the chat, try to integrate those as well. But let me start off with a basic kind of general question and Breanna, this one will go to you first. Um, in your work with governments, how do you think. The gender dimensions of forced displacement. So the differences that affect men and women in forced displacement, uh, are being recognized and addressed in policies and programs, and I'm wondering if you have a good example to share with us and one that could have done a little bit better, taking into account the gender dimensions of forced displacement. So over to you. Yeah, thanks so much, Diana. Thanks so much for the opportunity to participate in this discussion today and also to see the consolidated um findings from all of the work that, that you and the team have been leading for years. It's really, really, I think, quite exciting for me. Um, I think in terms of policy dialogue and programming with government, I think over the last few years, I do think there has been a growing recognition. Uh, generally, that displaced women and girls confront distinct vulnerabilities, that these vulnerabilities require tailored and multi-sectoral approaches, and, and definitely in particular that displaced women and girls are exposed to much higher risks of different forms of gender-based violence. I think something that I really appreciated about the data you shared is actually the emphasis on intimate partner violence because Most often in the countries where I've worked that have been affected by conflict or displacement, the emphasis is on conflict-related sexual violence, and we obviously know, and then what's brought into high relief here is, is the devastating impacts on other forms of gender-based violence and particularly intimate partner violence. So, there is, I would think, I think there's growing recognition that these are Challenges and we do actually have more um investments uh and increasing intentional focus on better integrating gender considerations definitely in bank-supported operations and analytics, which is, you know, developed in partnership with government. I think one example that I think is actually recent and and quite interesting. is in the Kenya Development Response to Displacement Impacts Project, or the Kenya Doctordip we referred to in shorthand. They recently conducted an evaluation of the livelihoods component of the project at the midterm stage of the project, and the, the assessment was really meant to provide insights and recommendations on how to strengthen the project's impact on women's economic empowerment outcomes with the idea that the findings of the evaluation can inform a Adjustments to the project's approach and implementation process because it wasn't necessarily an explicit part of project design several years ago. Um, it also helps to provide an important lens through which how projects like Doctor Dip and other CDD programs in conflict-affected environments with focus on displaced populations, um, how those livelihood interventions can be used to strengthen, uh, enhance, sorry, enhance women's economic Empowerment outcomes, how they can create generally an enabling environment for women's economic empowerment. The, the, the study is actually coming out soon, and I think that there are really strong indications that already the project had positive impact on women's access to economic opportunities and livelihoods, a positive impact on women's household decision making, um, and then some other areas where there are gaps that the project actually has an opportunity to respond to. So I think that's one, that's one. One, example of a good project, I have to say I, I, I, we're also seeing obviously, and this is a lot of the work that I do, much more investment, um, being directed towards, um, integrating components around GBV prevention and response or stand-alone operations on GBV prevention and response, particularly in fragile and conflict-affected environments with high rates of internal or, or forced displacement. I think some important examples are the health and gender support. Project responding to the Rohingya crisis in Cox Bazaar. I am leading a $70 million component in a project in Ethiopia that is uh focused on GBV prevention and response, responding to the impacts of the conflict, um, in northern Ethiopia and extending from the conflict between government and the Tigray Regional Administration. Um, so there is, I think, work done where I would say maybe not a great example. Uh, it's not so much as an Example, but continuing challenges that we have and so even though we have these really important examples in a growing evidence base of how bank investments can address uh gender dimensions of forced displacement and the impacts of, of the different drivers of forced displacement, whether it's conflict or climate-related, um, I do think that there is still an incomplete understanding on how important it is to address the gender dispensions of forced displacement. Sorry, how important it is to address the gender dimensions of forced displacement and how not doing so can undermine recovery, resilience, and then the broader development priorities in a given country. Um, and it's not just about giving intentional focus, but also ensuring sufficient resources, and that's something where we continue to have a bit of a challenge and discussion. For the Ethiopia project I mentioned, uh, One of the main partners is obviously the Ministry of Finance, and they wanted to slash the budget for the GBV component because they didn't really understand why we would prioritize investments on GBV programming other uh against other priorities that were perceived by the government. So, it's not a concrete example, but it's, it's an example of a challenge that we continue to have as part of our dialogue with government in this area. So I'll stop there. Fantastic, Brianna. Thank you so much. We were all just nodding the whole time you were speaking, so great. Constance, you work at UNHCR so you face this challenge every day to work on with governments and partners to have them really take into account the gender dimensions of force displacement. Tell us a little bit about your experiences, both good and those that could be improved. Thanks so much, Diana, for having me. And I, I think this is a, it's a very special space that you actually, you know, put together and I think it's a, a wonderful group and a very unique group composition, and I, I was think, I think I was the one nodding the most when I was speaking. Um, so I'm trying not to repeat. Um, I'm not, I'm not sure if I'm as optimistic in terms of progress, to be very honest. I do think we see a wide variety of engagement when it comes to governments. Some are You know, very committed, um, but I think commitment overall is, is really a challenge. I also want to be very upfront, um, on that, and I think with forced displacement, we also need to acknowledge that there are pre-existing gender inequalities in the host community and then refugees come. With an experienced inequality in their country of origin. It's something that is a dynamic that it's not so straightforward. And on top of that, we are dealing with intersectionalities. So, you know, to develop programs that take all of that into consideration really requires a holistic approach, and that's not a given, I would say. Um, I think also a little bit of what we hear is the tendency that government's preferred angle is to address the gender dimensions of forced displacement from a self-reliance and economic empowerment angle. Um, and that makes a lot of sense because it acknowledges the importance of rebuilding lives, you know, contributing to the host community, to stability, development, and it also really does contribute to reducing gender-based violence, but there's more than that, and that's a little bit where I want to take it. Um, we talked about legal frameworks at some point, and there's actually been Progress when we look at removing gender discrimination and nationality laws, which is really important because it means women can confer nationality to their children on equal basis with men, and that also means that we safeguard against, um, childhood statelessness. At the same time, we did hear that forced displacement exacerbates GBV risks, in particular for women and girls, and We did hear that inclusion in local and national service is really the way forward, but we have a long way to go. If you look at the other picture of the legal um framework situation, we know that in 41% of the major refugee hosting countries where UNHCR operates, there is no legislation on outlawing GBV. And for example, IP or domestic violence, and even where we have laws, it doesn't mean that the services are in place for survivors. And the reason for that is, and I think we may not somehow alluded to that is gender and GP are not areas that are necessarily highly prioritized. And it has to come with resources, but we often lack the resources. Um, so, you know, that's the reality we deal with, and at the same time, we also do not have the assessment tools to say, listen, if you Include refugees into your response services if they exist. This is how much it costs. This is what you would save if you do it now and not wait for 10 or 20 years. So we'll have a few things to catch up on. But to come to your second question on a good example, and I'm going to skip the negative example. I'm sorry. I actually would like to have Highlight, um, Chile in the Americas as a champion leading the thematic era on gender equality as part of the Quito Process, and the Quito Process is very important for us because it brings together certain governments in the Americas around the um refugee and migrant crisis from Venezuela. And these governments decided to have a gender equality thematic area within that, actually, this year, they decided to focus on protecting from gender-based violence, and there was a meeting this year with 30 ministries, and actually, you, I think you know that, um, because the World Bank was there, and I, I'll, I'll come to that, but what was amazingly nice, it's just not one government, it's bringing a region together to look at the risks that refugee women and migrant women face in this context and also discuss how they can address it. And the World Bank shared the, you know, the research findings which was really important to inform the discussion. Um, we shared the UN UNHCR highest IGV assessment and the countries shared their good examples from Brazil to Colombia, Ecuador, and the one I wanted to highlight is because it really, I think, sparked a lot of interest is, you know, the Brazilian government offers social assistance centers. They provide multi, uh, sector response service to survivors, and they do not discriminate by nationality or status. Every woman or girl or survivor has access, um, to the services, and that's what, you know, that's the future we, we have in mind. Um, again, I wanna comment actually the organization. for bringing such a diverse group together, I wanna emphasize that our objectives are the same and our activities are complementary. You know, protection, gender equality, GBV, they're all priorities independent if we're talking about the humanitarian or the development agenda. I think where there is scope for improvement is to make this complementarity clear to. refugee women and girls. And someone mentioned it, I think the Global Refugee Forum and coming together under that framework is a really important opportunity to demonstrate that. And I wanna close by encouraging you, I think I shared in the materials a link to a video between our, the UNHCR's High Commissioner and Anna Beer from the World Bank following their joint mission to Chad. And there, they outlined a model of collaboration and complementarity, which for me is really the blueprint for the future of our collaboration. I really encourage you to watch that. Thank you so much. Thanks so much, Constance. I have that video on hand, so I'm gonna drop it in the chat. Thanks for sharing. And I just wanna um pull out two things that you said that I think are super important. Uh, one, not considering GBV and how that might undermine activities around economic empowerment, right? So if we really think in simple terms, someone that experiences intimate partner violence at home, on the way to work, sometimes at work, and on the way back and then at home, that person. There's no way that they can be as productive after experiencing so much violence at home, at in, in, in different settings. So we really have to address GBV to be better able to achieve our development outcomes in several areas nutrition, economic empowerment, education, uh, stability all around. So. I think it's really interconnected with empowerment and gender equality. So thanks for raising that. And then the services, having them in place doesn't mean that women will go to them and also they will need a little bit, let's just be frank, of adaptation to address the different forms of violence and the different situation that the women, uh, that. are forcibly displaced are living in versus the host community. So we do think that's a sustainable model. I do think I agree with you it's a long way away. We have to take into account these issues around adaptation and investment, but I do think in the long run it is the right, um, way forward. So let me move now to Jocelyn. Dawson, director of Harvard Humanitarian Initiative Program of gender. And rights, you must get all the governments coming to you for advice on how to implement these research findings into their programs. So share with us some of your experience either with partners or with governments on how you've helped um some organizations integrate the gender dimensions of forced displacement. Well, Diana, I just want to say it's such a pleasure to be here with this incredible group and hearing the kind of thinking that's coming out of these results is really exciting. So, you know, obviously, I think the results of this project have shown that as a global community, we are still grappling with how to fully recognize and fully address the gender dimensions of forced displacement. And we've certainly learned from this project that there are many facets of this issue that Merit deeper consideration and probably future work, but there's a lot that we do know. So, as we've learned from our work in Mali, Liberia, DRC, Sudan, South Sudan, Colombia, and beyond, we have learned that both forced displacement. As well as just living in a conflict-affected location, independently and significantly heighten the risk of multiple forms of violence for women. That includes rape, that includes intimate partner violence, that includes other forms of domestic violence. And so, one way that I use as almost a shorthand to remind myself that this occurs because, you know, the research results can be very um You know, complicated and you, you can sometimes get lost trying to remember certain statistics. What I tell myself is that violence moves from the public sphere to the private sphere during and after conflict, where it can remain at high levels for years. However, as we know, within Um, homes and kind of when women experience intimate partner violence, these forms of abuse are often deeply hidden, taboo to talk about, hard to discover. We know the statistics on underreporting. And so it's important to keep in mind that, you know, we don't always need to, um, it's very helpful to do research on these issues, but we don't always need to know the exact, exact number. We can just go ahead and Acknowledge that multiple forms of gender-based violence are occurring in contexts of displacement and conflict. So, while we can know that women experience some of the most severe and long-term impacts of conflict, we can also acknowledge that they are largely excluded from peace processes, post-conflict programming, creation of long-term services, and opportunities to get funding from the humanitarian system. I'm gonna remind us all of a stat that I think we know and have taken to heart, but in 2016, 2017, and 2018, funding for gender-based violence accounted for only 0.12% of humanitarian funding, and a lot of people are like, 0, 12% of humanitarian funding. No, 0.12% of humanitarian funding. Um, and so, given that women do experience some of the most brutal and long-lasting impacts of conflict, they should, you know, obviously be empowered as vital actors and leaders in all of these conflict and post-conflict policies and programmings. And I do think that there is a More positive example that comes from Colombia. And we talked about this a little bit in our paper, but this was a country where women were empowered to, you know, um, contribute to the broader peace agenda. They engaged in successful negotiation of local cease. Fires, supported increased accountability and public support for the peace deal. Um, we can also acknowledge that Colombia, you know, isn't a perfect, perfect example because we still see extremely high levels of impunity, lack of follow-up for, um, survivors and victims of violence, etc. Um. And another example that really comes to mind for me, as we are just tragically seeing play out in real time in the news at this moment is in Ukraine, right? So, this is something that the global community has an opportunity to take the lessons that we've learned from the past and try to apply them now. Having said that, we know that um The number of aid organizations working in Ukraine has increased fivefold since the beginning of the invasion, and more than 60% of these organizations are Ukrainian. So, that is, I think. Great news and um a successful story. And then on the flip side, you know, to speak to your question, Diane, about positives and, you know, areas for improvement, we also know that less than 1% of the amount that has been tracked by the UN went to local grassroots and women's actors. And so, I really feel that one of the ways forward with governments and local partners is to Track, earmark, create systems where we are sure that we are providing funding to um people who are the experts in their own context, which is, of course, you know, women's organizations, grassroots organizations, etc. And so really deepening and strengthening the partnerships between the most local actors and multilateral government institutions, I think, would be a positive way forward. Thank you so much, Justin. It's great to see Latin America so well represented in the discussion. Um, hopefully we can continue the progress forward. So, OK, so we've all three of us, or all three of you and myself have talked about the importance of addressing gender-based violence, but it's also quite. Um, challenging for governments to know how to do this well. So I wanted to ask you all, and now I'm gonna start with you, Jocelyn, what are the factors of success that you see in GBV programming in forced to space communities and, and potentially in host communities that could apply to forced to space communities, and what is the best bet for us to measure our success in implementation of those GBV interventions? Um, thank you so much, Diana, and apologies, everyone gets to listen to me just continue to roll along in my ideas, but, um, you know, I think I, having done A lot of work across different contexts and doing kind of systematic reviews of what have we learned from work in humanitarian contexts. I do think there are some key good practices and lessons learned that we can continue to revisit. So, we know that long-term programming is critical to build the kind of deep infrastructure of supporting women, combating gender-based violence, and addressing social norms in the long term, you know, that's like the um And the connective tissue of allowing societies to recover from conflict and to empower women. Um, case management is a big part of long-term programming, and it's really important for supporting women to access multiple forms of services, which we know are so critical. Um, on that point, building that out, having a holistic approach to addressing, um, gender-based violence is so critical. We've talked about psychosocial services, medical, legal, and economic empowerment. When all of those are combined together in some way, I think they are all mutually reinforcing and create kind of a virtuous cycle. Um, as we all know, you know, programming should be women-led and um deeply embedded in communities. So, it's really critical to have programming that is, um, appropriate to its context. I know both you and Constance spoke really eloquently about that just now. Um, I think one of the messages that came out from the previous comments was also around adaptive programming. So having the ability to try things. Acknowledge if and when they're not working, and then, um, adapt in partnership with local communities to pivot, you know, every context is extraordinarily different. And so, while we know that there's a few positive takeaways that tend to work across contexts, the, um, there's a lot, also a lot of room for adaptation, etc. Um. And, you know, really briefly, Diana, just on the point about measuring what success looks like, I will say that um two thoughts. One is that that can and should be defined by local communities, and that is, you know, exciting to acknowledge that that might change from place to place, and that will be defined by people, the partners with whom we're working. And I also want to note that there is a place for something we call proxy indicators, so we don't have to ask over and over. Over and over again, these women to tell us about these challenging and horrific experiences that they have encountered, but rather, we can understand um other ways of acknowledging community health, community resilience and violence reduction. For instance, asking people how safe they or their neighbor might feel walking to a certain service, etc. So, you know, thinking a little bit more um Creatively around how we gather data. Yeah, and we were really innovative in that sense during COVID to try to get those data so we can learn from there. Miranna, same question to you, in your programming experience, what are the key elements of GBV interventions that are successful and how did you measure them? Yeah, and I think I'm gonna start by picking up on my last point, which I think one of the most critical factors if I'm advocating with government is ensuring that there's money, uh, so ensuring that there are sufficient resources to enable programming at scale to meet, especially in the context of displacement, both the immediate needs that may be part of an emergency context, but then also to enable more strate strategic and system strengthening approaches. Um, I think GBV, I mean, everyone here knows that they require high intensity. Treatment, um, and that can often be expensive, particularly in FCB setting where there may be additional layers of security costs and also engagement with different types of partners, uh, and so this requires often more resources than governments and sometimes our own bank staff expect. Um, so this is something that has to be front and center of a conversation in an area I think. In particular, of advocacy for technical specialists and TTLs within the bank with our own country management so that they're well positioned to advocate for sufficient resources with government and like I said, particularly with ministries of finance. I think critically institutional setup matters and this is through the lens of a World Bank staffer where our main client is government. Um, finding a strong implementation agency or counterpart is critically important and There are some communities of the different communities of thought within the bank. I, I understand reasons why investments in gender machineries, ministries of gender is actually quite important because they need to have investment to help build their capacity, but they oftentimes do not necessarily have that capacity in place at the time of project development, and they typically will often have a mandate to coordinate, but not directly to implement uh GBV policies. So there needs to be Some scope and exploration of alternative institutional homes, I think, for multi-sectoral interventions. Um, this could involve looking at strong sector, the strong sectoral ministries that may be involved in, obviously, we naturally look at health as an important entry point, uh, for services, um, but I think this is an important consideration and something that also sometimes requires a degree of advocacy, first internally with our own teams and with country management who may want to default to those gender machineries, but And also obviously with government as well. Um, I have to say in the Ethiopian context, I've been incredibly, uh, lucky with the implementation team that we have with the Ministry of Women and Social Affairs, but in the DRC, for example, the GBV Prevention and Response Project operated through the Fran Social, which was a peristatal entity established really as an implementing entity under the office of the, I think the president. Um, so these are some considerations that, that need to be part of discussions with government. Um, a really important one, and I think it's something that's critical to embed in discussion with government very early, is the critical importance of establishing partnerships with multiple stakeholders, including particularly specialized agencies, NGOs, sometimes faith-based institutions, definitely women's-based organizations, community-based organizations. This is really important to allow government Institutions that may not have capacity for specific facets of GBV prevention and response to draw on existing expertise for specialized services, particularly around mental health, psychosocial support, particularly around prevention programming, um, where I think that there's strong concerns about government taking on implementation capacity of prevention programming, rightly so, um, but it Also allows for in the context of emergency settings or humanitarian settings where we may engage, it allows for government and programs to build on existing networks that may exist to scale up what's being done. And this is what we're doing particularly in Ethiopia. We're focusing on five regions affected by conflict, but in Tigray in particular, because the government, was one of the parties um to the conflict with the regional administration. Of Tigray, uh, the project set up in, uh, third-party implementation through UNFPA. Um, they were able to leverage their existing partnerships with international and national NGOs, um, to enable immediate scale-up and delivery of GBV response services, and this is something that they're continuing to develop and adopt over time even as there is a transition to the regional administration integrate. Um, another reason. I'll make one more point. Sorry. Another reason why this is important is because this also helps to ensure devolution of services to community level. I think the DRC project is a really interesting model because it looks at delivering services through multiple entry points. So that's through the provincial health departments and then healthcare providers, so looking at the institutional structures in the health setting, but it's also through parallel implementation through centers of Excellence, including Pansy and Hal, and then there's a really strong focus of community-based actors and through an umbrella NGO and community-based organizations. The reason why this is important is because one of the big findings from previous work is that the, the concentration of, of access points for survivors is really through centers of excellence, and there weren't sufficient uh entry. Points for service delivery at the community level. And I think when we're looking at measures of success, just picking up on something that Jocelyn said, for me, through this project, we had 80% of survivors seeking care through the community-based entry points that were established through the project. And there was a difference between where people sought care for the types of violations they experienced. So people coming with intimate partner. Partner violence, physical violence, they often went through those community-based structures. Those in need of more specialized care, particularly for clinical management of rape and more severe forms of impacts of sexual violence, they would often then go to the centers of excellence. So it really created multiple tiers of options for survivors at community level. I'll stop. Thank you so much for Anna and Constance. Over to you for a final words. Oh wow, thank you. I think um just to summarize that a little bit, I think, you know, what, what we need, we talked about commitment in order for this to be uh successful. Also, I think activities have to be well coordinated and we have to look at the complementarity, so we're not duplicating in a really, you know, kind of resource constrained environments. I think we talked about well-designed programs that are contextual, local, and adequately resourced. I don't wanna talk about well-resourced, but at least, you know, have the resources. Um, that they need. We also talked about that they need to be adapted to the realities of refugees and IDPs, right? What we learn a lot from refugee women is it depends where they are on their journey, how much time they have. If they move onward, it really, you know, that kind of really influences, um, the success of the program, how stable the context is, etc. Um, I also want to re-emphasize absolutely the engagement of local actors, you know, they're so key, not just as entry points, they're key in providing interventions and they're actually the best placed, um, in many, many cases to not just message, but, you know, um, Implement activities as well, and this is the sustainability model that we need and we have quite a few, in particular, prevention programs that are run um through that model like SASA and EMAP, um, that are very, very effective in communities, um. I also wanted to go back to a point that Jenny made because you ask us, I think, how do we measure success as well, and I think You know, all these factors influence reporting behavior and we talked about that. And looking at police reports or any other incident measure is just not a good way of measuring success, and I just thought it would be important to emphasize that again and something that I think Joceline tried to uh mention is there is, for a long time, there was a promotion of like Measuring success by looking at what we call cap scales and methodology where you look at knowledge, attitudes, and behavior. These are like often standardized global measures, and they may still be quite relevant for research, but in our context, it's often very difficult to actually have, you know, the frameworks in terms of measurement and resources to really implement that over time. I think it's still interesting to look at that and localize that. But the measures I would like to maybe promote from our end is, you know, they're easy measures for client satisfaction. It should be a standard in every intervention that is provided that you ask your clients at the end if they're satisfied with the services, combined with a measurement if services are actually available in a given context. And for For example, we know that in 70% of our contexts, there are services available, but if you look at the satisfaction with the services, that's a very different story. So we have to, I think we have to look at the combination. And lastly, I now I forget to mention that, particularly from a risk mitigation perspective, which is the responsibility of everyone. Um, I think proxy indicators are a really good way to look at that, but there's not just, um, yeah, I don't recall, uh, who mentioned that, but, for example, if you look at access to clean energy, we know if women and girls don't have access to clean energy, their risks of people are much higher because they wander out. To meet their basic needs and, and I believe there was uh, uh, someone mentioned Kenya before and particularly in Kenya, we have such a small proportion, I think 21% of the refugees that have access to clean energy and we know at the same time that means quite a high risk. So these are also measures that give us a lot of information. You know, in terms of safe programming. Thank you so much. Thank you so much. I've done a horrible job at moderating, but, uh, it was such a rich discussion that I wanna thank you all so much. I was so happy to hear your thoughts on this. Uh, Constance, really just wanna pick. Up on quality and availability of services as our measures of success, um, and also the use of those proxy indicators, um, Paola, uh, over to you thank you so much for Verenna Constance, and Justin being here with us today. It was fantastic. Thank you. Thank you, Diana. Uh, that takes us to the end of the session. I want to thank, uh, everyone, the presenters, uh, the panelists, as well as the people that helped organize. We have a few, um, Links that we'll be posting in the chat. One is to a questionnaire, um, um, a post, post, uh, post-learning session questionnaire. I hope, uh, that's a fun exercise for you to take. It's uh 10 questions. Um, And uh my colleague will be pasting that link in the chat momentarily. We also have a feedback form that we kindly ask you to fill in, and that will help us improve in future events, so your feedback is very important. We hope you can do that as well. And finally, we'll paste uh a link to where you can find all the resources behind today's session on our website. Um, and, uh, uh, we hope to see you next week, uh, at the same time on Wednesday, and we'll have a session focusing on impact evaluation in force displacement context. And, again, on our website, you can find, uh, the registration form, uh, and we hope many of you can attend. Again, thanks to everyone, panelists, speakers, people who helped organize and participants. Um, we hope you enjoyed the session and we hope to see you, um, in the future modules. Thank you and bye.
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20231004 Module 2 Gender forced displacement
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20231004 Module 2 Gender forced displacement
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The second module of the Learning from the Evidence on Forced Displacement training program focuses on the gender dimensions of forced displacement. This training highlights key findings of the World Bank’s Gender Dimensions of Forced Displacement (GDFD) research program and outlines how forced displacement affects the poverty risks and livelihoods of women and men differently, with a focus on the increased risks of intimate partner violence.

Speakers:

Dr Jeni Klugman - Senior Fellow, Brookings Institution

Jocelyn Kelly - Director of the Gender, Rights and Resilience (GR2) program at Harvard Humanitarian Initiative

Diana Jimenez Arango - Global Lead on Gender-based Violence, World Bank

Constanze Quosh - Senior Protection Officer, UNHCR

Verena Phipps - Social Development Specialist, World Bank

Last Updated: Feb 09, 2024

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