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00:02 I'm Carson Cristiano.

00:03 I'm

00:03 the executive director of CIGA,

00:05 which is the Center for Effective Global Action,

00:07 and on behalf of

00:10 the World Bank and CIGA,

00:11 I am so excited to welcome you all to our 8th annual

00:15 measuring Development conference which we're calling

00:18 The Role of Mobile Data and Global Development.

00:21 Um,

00:21 so it's,

00:22 it's again,

00:23 it's really awesome to be here in person and it's great to see all of you in the room.

00:26 I'm pretty sure we have

00:28 like

00:29 60 and counting,

00:30 maybe 70 and counting,

00:31 um,

00:31 people joining

00:32 live.

00:33 Uh,

00:33 there were several more people registered,

00:35 so we're,

00:35 we're expecting people to sort of come in and out

00:38 throughout the day,

00:39 but it's great.

00:39 Thank you all for joining us either in person or

00:42 remotely,

00:43 um.

00:44 And I'm gonna start by introducing the organizers.

00:46 So,

00:47 um,

00:47 that's UC Berkeley's CIGA and the World Bank's DIM Group.

00:51 Um,

00:51 so CIGA is the Center for Effective Global Action.

00:53 We're headquartered at UC Berkeley.

00:55 We're a hub for research on global development,

00:58 uh,

00:58 with a large and growing network of faculty affiliates

01:01 based at institutions up and down the west coast

01:04 of North America.

01:05 Um,

01:06 but we do work,

01:07 uh,

01:07 in low and middle income countries and low resource areas all over the world.

01:11 Um,

01:11 our network also includes a growing number of

01:14 scholars from low and middle income countries,

01:16 uh,

01:17 who have either trained in person,

01:19 uh,

01:19 come,

01:20 come spent a semester with us at UC Berkeley,

01:22 or participated in

01:24 our new,

01:25 uh,

01:26 non-resident fellowship program.

01:28 So CIGA researchers,

01:29 um.

01:30 They evaluate innovations designed to

01:32 reduce poverty and promote global development

01:34 using rigorous evaluations,

01:37 uh,

01:38 uh,

01:38 data science methods and new measurement tools.

01:41 Um,

01:42 we,

01:42 uh,

01:43 look at the impacts of large scale programs and policies.

01:46 CIGA supports us by making grants,

01:48 by seeding new partnerships across disciplines and across geographies,

01:52 um,

01:52 and also bringing people together like this to disseminate research.

01:57 The World Bank's Development Impact evaluation

01:59 Group DIME generates data and research to

02:03 transform development policy and reduce extreme poverty.

02:06 It develops customized data and evidence

02:09 to produce actionable information and recommends

02:11 specific policy pathways to maximize impact.

02:15 So their DIME's work is based on a co-production model

02:18 aimed at transferring know-how to partners to make

02:20 mid-course corrections and scale up successful policy instruments.

02:25 DM,

02:25 uh,

02:25 today is a team of 290 PhD economists,

02:29 data analysts,

02:30 program managers,

02:31 data scientists,

02:32 and engineers that partner with donor agencies,

02:35 um,

02:35 to deliver a $20,220 million research program to support adaptive implementation

02:41 of $26 billion in development finance across 62 countries.

02:46 They provide advisory services to,

02:48 uh,

02:48 30 multilateral and bilateral development agencies all around the world.

02:52 So every year our measuring development conference puts a

02:55 spotlight on the types of uh data and approaches,

02:59 analytical approaches that are being used in global development research,

03:02 and I think this is a topic that sometimes gets

03:05 missed in our conferences that are very focused on outcomes and interventions,

03:09 um,

03:09 so this conference,

03:11 um.

03:12 Ask questions like how can new sources of

03:14 data fill information gaps in data sparse environments,

03:18 uh,

03:18 what technologies and partnerships can enable us to access these data,

03:22 what methods and measurement tools might be most

03:24 appropriate for answering specific questions related to development,

03:28 and then how can the use of new

03:30 sources of data and tools actually

03:33 influence development outcomes.

03:34 Um,

03:35 so in past,

03:37 in past years we've looked at,

03:39 um.

03:40 At data and measurement in in specific sector context

03:43 so we've looked at health we've looked at infrastructure,

03:45 uh,

03:46 we've looked at environment.

03:47 And climate.

03:48 Um,

03:49 today's conference is going to be cross-cutting,

03:51 so,

03:52 uh,

03:52 we're looking at the role of mobile data across a number of different sectors,

03:56 including the ones that I mentioned.

03:57 And by mobile data,

03:58 by the way,

03:58 we mean data from mobile phones,

04:01 from remote sensors,

04:02 and other types of mobile

04:03 devices,

04:05 um,

04:05 how they've been used in research.

04:07 Uh,

04:07 today we're going to hear about

04:09 research related to targeting aid,

04:11 understanding social unrest,

04:12 diagnosing disease,

04:13 and looking at how people move around.

04:16 Um,

04:16 we're gonna have some framing remarks by Ariana Legovini,

04:19 who's the head of DIM.

04:20 Uh,

04:21 we're gonna have about 5 sessions of research presentations.

04:25 Uh,

04:25 Sveta Milosheva from the bank is gonna,

04:27 uh,

04:27 give us a primer of sorts on mobile data for development,

04:30 get us all on the same page,

04:32 and then we'll end with a round of lightning talks to get you all excited about

04:36 other work that's happening.

04:38 On these topics,

04:38 so before I pass the mic to Ariana,

04:40 I want to quickly go over some logistical details.

04:43 Um,

04:43 so first,

04:44 because we have a very full agenda today,

04:46 please save your questions for the end of each

04:48 session.

04:49 Um,

04:50 our session chairs are going to manage the Q&A.

04:52 We are going to prioritize questions from the live audience.

04:56 Uh,

04:56 if you have questions from the live stream,

04:58 uh,

04:59 on Webex,

04:59 please enter them in the Q&A,

05:01 and we will ask those questions if we have time.

05:04 Uh,

05:05 we're also going to direct speakers at the end of their talks to the presenters,

05:09 sorry,

05:09 to the organizers table over here so

05:11 you can actually look at the questions that have come through and answer them,

05:14 um,

05:15 after your talk.

05:17 Um,

05:18 let's see.

05:19 If you're an in-person participant,

05:21 um,

05:21 we really encourage you to continue the conversation

05:23 during the coffee breaks and over lunch,

05:26 um,

05:27 and during our networking reception after the event today.

05:30 Um,

05:30 and then finally,

05:31 we ask that you keep your masks on unless you're speaking,

05:34 you're more than welcome to take it off,

05:36 um,

05:37 or unless you're eating or drinking,

05:39 of course.

05:40 Uh,

05:40 any questions about logistics,

05:42 questions?

05:44 Where the bathroom is.

05:46 I don't even know where that is,

05:47 so.

05:49 Um,

05:49 anything at all.

05:50 OK,

05:50 great.

05:50 So with that,

05:51 I'm very excited to introduce Arianna Legovini who's the,

05:54 um,

05:55 director and founder of the Development Impact evaluation unit at the bank.

05:58 Um,

05:58 she's gonna give us some framing remarks for our,

06:01 uh,

06:01 event today.

06:02 Thank you.

06:15 Good morning everyone and thank you so much for joining us

06:19 uh as uh Carson said,

06:20 I'm the director and founder of the DME Group who specialize in tailored

06:25 and customized data to understand

06:28 development problems that we are trying to solve

06:31 and use

06:32 advanced analytics to prioritize investments,

06:35 provide input into,

06:37 um,

06:38 design and implementation of our programs,

06:42 our programs and also programs of partner organization.

06:44 Organizations that we're working with

06:46 and uh impact evaluation research to provide

06:49 a a different way um for governments

06:54 to

06:55 take decisions in real time based

06:57 on rigorous evidence

07:00 um the idea of course is to transform the path of development not really judge

07:04 as you all know not really judge whether people are doing well or not,

07:08 but to really identify.

07:09 You know,

07:10 high marginal high margins where we can improve the impact

07:15 of

07:17 of uh development programs

07:20 by shifting

07:21 the path of decisions of government

07:25 officials and other people involved in development

07:28 we are really focused on developing capacities

07:31 because at the end of the day through those

07:33 capacities we can affect the decisions that make our

07:37 our work worth it's while.

07:40 So I,

07:42 we will spend the whole day today.

07:44 On a specific issue which is mobile technologies

07:48 this is super exciting

07:50 uh obviously we all have those technologies right at our fingertips

07:55 through our

07:56 you know online shopping,

07:58 mobile banking,

07:59 uh,

08:00 streaming and social media apps and so forth and so on.

08:05 At our fingertips,

08:06 it's our classroom.

08:08 Our movie theater,

08:10 our

08:11 shopping mall,

08:12 and we take it today for granted,

08:14 but these technologies have the potential of

08:17 transforming completely the way we do development economics

08:21 and um and development finance.

08:26 Why?

08:26 Because these developments,

08:27 these digital solutions

08:29 are actually

08:31 addressing problems that we were not able to tackle in the past

08:35 or at least not able to tackle them,

08:37 you know,

08:38 within reasonable cost.

08:42 When I lived,

08:43 um,

08:43 when I lived in,

08:44 uh,

08:45 in Kenya back in the early 2000s there was barely anyone with a bank account

08:50 but this of course was before M-Pesa.

08:53 And PSA was launched in launched in 2007

08:56 and today 72%

08:58 of Kenyans have

09:00 a mobile banking account.

09:02 Now

09:03 this is one of the highest rates in the world.

09:05 Through it

09:07 they can of course deposit withdraw transfer funds they can pay for the utilities

09:13 they can even get a coffee at Java House.

09:17 And it is not just the average person,

09:20 even the most vulnerable populations in Kenya

09:23 demand their government transfers in the form of mobile cash.

09:29 95% of in fact of urban dwellers

09:32 like to have their government check sent into their phones.

09:38 Today many governments are even distributing funds for free.

09:42 As part of the social protection programs to increase the government to person

09:47 um

09:48 relations.

09:51 So the the idea of expanding

09:54 of expanding

09:55 digital

09:56 uh

09:57 access

09:57 to all the populations

09:59 holds an enormous promise

10:01 and of course it's not without challenges and this is why research is

10:06 very very important to for us to understand how to do this right

10:10 and just get it right

10:11 meaning

10:12 uh understand what solutions are really transformational

10:16 in the development in the development agenda.

10:19 So the idea of providing people.

10:22 With high value

10:24 services such as education,

10:26 health,

10:27 social protection,

10:28 um,

10:29 business,

10:29 agriculture,

10:31 banking

10:32 through their phones in real time it's

10:35 extraordinary I think we forget that,

10:38 you know,

10:38 we forget that because we get so used to doing it

10:41 that it seems

10:42 like

10:43 we've always been doing it in fact my son always

10:46 says like mom how did you live without a phone,

10:49 right?

10:50 So what we call a phone,

10:52 we know it's not a phone.

10:54 It is just about everything,

10:56 almost everything we need except for love.

11:02 Well,

11:03 so

11:04 the interesting,

11:05 um,

11:06 thing about digital solutions of course is there

11:08 are so many people out there thinking about

11:11 what

11:12 they can

11:13 solve.

11:14 So all these digital disruptors,

11:16 for example,

11:17 uh,

11:17 we're working with uh you know I mentioned Kenya but of course they're everywhere.

11:21 Um,

11:22 providing solutions to,

11:25 you know,

11:25 Uberizing freight,

11:27 connecting suppliers and buyers,

11:30 uh,

11:30 providing

11:32 in mobile insurance

11:33 for,

11:34 uh,

11:35 crops,

11:35 etc.

11:36 they really address a lot of the constraints in the supply chain

11:40 of.

11:42 Agriculture and other sectors that were not

11:45 addressed before and therefore can be totally

11:48 transformational in terms of increasing the amount

11:51 of economic growth in our countries.

11:54 Not only that,

11:55 uh,

11:56 but the provision

11:58 of,

11:58 for example,

11:59 gamified educational apps

12:02 to children

12:03 who are not in the education system.

12:06 Can be quite transformation in their ability to

12:11 uh increase their own literacy and numeracy

12:13 and um.

12:15 Not only doing that but doing that

12:18 much faster than traditional education systems we have seen that in a few months

12:24 kids can learn in their own languages

12:27 how to read and write

12:29 and how to do basic math.

12:32 And so kind of preparing them for a school system

12:35 um that otherwise would have taken in the Africa

12:38 region 23 sometimes 4 years to get them literate

12:42 mHealth the same.

12:44 One of the studies in India shows that information and incentives can

12:49 can increase levels of vaccination by as much as 44%.

12:53 So the,

12:53 the,

12:54 the promise for these applications to

12:57 bridge

12:58 the human development gaps are really impressive.

13:03 Um,

13:05 um.

13:06 One of the um

13:09 One of the important things of course of all these applications

13:12 is that

13:14 they generate a staggering amount of data.

13:17 Uh,

13:19 and we are not even close to.

13:22 Kind of taking advantage of all these datas but today

13:25 and through our throughout our day we'll look at how

13:30 creative researchers have been

13:32 in uh

13:33 addressing or using.

13:35 And

13:36 and exploiting mobile data

13:39 to

13:41 understand the world in a way in which we have

13:43 never really understood before with the level of granularity and

13:47 and um

13:48 uh depth asking very different questions that we were ever able to ask.

13:53 Ask before

13:53 for example in session one we'll see how mobile

13:57 data combined with machine learning has been used to

14:00 um can be used to

14:02 target or improve targeting of humanitarian aid and

14:05 even resilience to uh social unrest and crisis.

14:11 The idea

14:12 that we can use data in real time

14:15 to identify

14:16 who is affected

14:18 by.

14:19 Climate shocks by war

14:22 by any type of event

14:24 and actually being able to target those people in real time is

14:28 amazing.

14:30 I just,

14:32 there is no halfway around that.

14:34 In session

14:36 2 and 3 on health and and COVID we'll

14:38 see how different type of applications can help us improve

14:42 or reduce infant mortality,

14:44 improve diagnosis

14:46 of tropical disease,

14:47 or improve

14:49 and expand the way people seek and prevent

14:53 and,

14:53 and,

14:54 um,

14:55 um.

14:56 Improve their own health outcomes

14:58 these type of applications in health,

15:00 I think,

15:01 are really transformational,

15:02 and we should think of them

15:04 in a couple of different ways.

15:05 One of course is that people can take care

15:07 of their own health and improve their chances,

15:10 but they also have big implications on

15:12 the financial resource burden on public health systems

15:16 and that's releasing

15:17 um resources for pub those public health systems to work better.

15:24 In uh in the session on transport

15:27 we'll have uh

15:28 a series of uh cases where we measure

15:33 violence against women

15:34 and also the impact of violence against women in public space on their mobility,

15:40 education

15:41 and labor market decisions that have huge implications on.

15:45 Economic growth

15:47 we'll also look at

15:49 real-time mapping

15:50 of car crashes around the city being able to prioritize where investment should go

15:55 in a city to

15:57 uh reduce mortality by half as for the SDG 3.6

16:03 and

16:04 being able to use real-time data

16:06 to look for example at mobility policies during COVID and understand

16:10 what the impact of those policies was on road safety.

16:15 The 4

16:16 the 4th session will be on methods

16:18 here we will learn

16:20 uh how to and

16:22 what uh how to use data from mobile devices but also what are some of the constraints

16:28 and issues that we need to think about.

16:30 It will link back to this idea of distributing phones or increasing digital access

16:36 to actually.

16:37 Lower the bias in the data that we're looking at by having

16:41 a wider set of populations being covered by these technologies

16:44 and finally we'll have as mentioned by Carson

16:47 the Ignite sessions that we hope is full of

16:50 uh interesting studies

16:52 telling us for example what people do,

16:55 uh,

16:55 how they spend their time and money,

16:57 who they relate to,

16:58 who they transact with or even how to monitor crops,

17:01 monitor cities

17:02 and so forth and so on that should be quite exciting.

17:06 So the overarching message

17:07 that I want to leave you with

17:09 is that by exploring experimenting and validating

17:12 these technologies we can learn a lot

17:14 about how to scale up digital solutions but also

17:18 how to shape those digital tools in a way

17:21 that increases their usability and usefulness.

17:25 Uh,

17:26 so

17:27 I'm gonna give a pitch to my colleague,

17:30 uh,

17:30 Zweta Milussheva who will talk about this,

17:33 uh,

17:33 um.

17:35 What is it stayed off of that.

17:39 State of play,

17:40 the state of play,

17:41 um,

17:41 so there is a lot of data out there,

17:44 but access to that data for researchers to use is still very

17:48 much a constraint and an issue so we'll need to work together

17:52 to find solutions to access to mobile

17:55 data always respecting of course privacy concerns,

17:58 um,

17:59 for that data

18:01 uh we'll hear more about that um after lunch.

18:06 Now,

18:06 uh,

18:08 So of course I hope you enjoyed the day

18:10 um

18:12 and uh I think it will be a super super interesting day

18:16 what I want to say is that we

18:18 uh we at DIME and the whole research community

18:22 makes itself available

18:24 for practitioners and policy makers to work with

18:28 to understand.

18:29 Uh,

18:30 and exploit other people's settings and and solution seeking

18:35 and we hope that this day will be a mechanism through which,

18:39 uh,

18:40 we can establish better and stronger collaborations moving forward.

18:44 So before leaving,

18:45 uh

18:46 the mic I want to

18:48 first of all welcome all the researchers who

18:50 creativity and productivity makes this day possible

18:54 and exciting

18:56 and of course the organizers.

18:58 That have worked hard to get us all together,

19:00 uh,

19:01 both online and in person.

19:03 This is my first in person so

19:06 it's many people's

19:07 uh other experience but also want to welcome some of the friends that

19:12 have been.

19:13 Uh,

19:14 we're coming today to moderate the sessions who are

19:17 long friends,

19:18 uh,

19:19 with long term partnerships.

19:21 Uh,

19:21 the first is Melis who's representing Mikhail Rutovsky who's

19:25 the global director for social protection and jobs,

19:29 uh,

19:29 with

19:30 the practice we have a wonderful collaborations on the partnership for

19:33 economic inclusion that also includes a lot of the researchers,

19:37 um,

19:37 that will be here uh today around the table.

19:40 And that we're launching phase two now uh in May

19:45 with uh several governments around the world for the

19:48 scale up of these economic inclusion programs hoping to develop

19:53 sustainable

19:54 poverty reduction strategies.

19:56 Part of a

19:58 country's social protection systems so that's really exciting.

20:01 The second person I want to welcome is Soji.

20:03 Soji is an old friend.

20:05 He was one of the first people who gave

20:07 me money for

20:09 one of our first program of evaluation in malaria.

20:13 That program

20:15 had a huge impact on Global Fund policy

20:18 transforming,

20:19 uh,

20:19 well at that point was called malaria case management into fever case management

20:25 as we discovered most children have fever which was not related to malaria

20:29 and a vertical program only related to malaria was not as effective

20:32 as a program managing fever.

20:35 Um,

20:35 the third person I want to,

20:37 uh,

20:37 welcome

20:38 is,

20:39 uh,

20:39 Nicola.

20:41 Nicola is our incoming global director for

20:44 transport.

20:46 Again in transport

20:48 we have a wonderful collaboration

20:50 since 2015

20:53 called iConnect.

20:54 iConnect is a program of evaluation of large infrastructure

20:58 to understand how to maximize the impact

21:01 of that infrastructure onto people's lives and we'll hear more about it

21:06 later.

21:07 I also want to welcome Norbert.

21:09 Norbert is our chief economist for human development.

21:12 He just completed a very important report,

21:16 um,

21:17 documenting the impact of COVID

21:19 on uh human development outcomes,

21:21 a very,

21:22 a very sobering,

21:23 uh,

21:24 report,

21:25 and,

21:25 uh,

21:25 he comes here today.

21:27 Uh,

21:27 just like all of us

21:29 to understand what solutions

21:31 we can advocate for,

21:33 uh,

21:33 evidence-based solutions

21:35 that,

21:35 uh,

21:36 we can take to scale

21:37 to help bridge the human development gap.

21:41 And I welcome Art.

21:43 Art is our deputy chief economist

21:45 and he will be moderating the method sessions.

21:48 He's a staunch supporter

21:50 of the expansion of,

21:51 uh,

21:52 research in development economics

21:54 and,

21:54 uh,

21:55 we welcome here as well.

21:57 So thank you very much all of you,

21:58 uh,

21:59 for coming to

22:00 today

22:01 and everybody online as well who

22:04 who are the people that I usually look at.

22:08 So it's a good

22:09 uh change in uh

22:11 in mode.

22:12 Thank you very much.

showAllTimestamps
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transcript
I'm Carson Cristiano. I'm the executive director of CIGA, which is the Center for Effective Global Action, and on behalf of the World Bank and CIGA, I am so excited to welcome you all to our 8th annual measuring Development conference which we're calling The Role of Mobile Data and Global Development. Um, so it's, it's again, it's really awesome to be here in person and it's great to see all of you in the room. I'm pretty sure we have like 60 and counting, maybe 70 and counting, um, people joining live. Uh, there were several more people registered, so we're, we're expecting people to sort of come in and out throughout the day, but it's great. Thank you all for joining us either in person or remotely, um. And I'm gonna start by introducing the organizers. So, um, that's UC Berkeley's CIGA and the World Bank's DIM Group. Um, so CIGA is the Center for Effective Global Action. We're headquartered at UC Berkeley. We're a hub for research on global development, uh, with a large and growing network of faculty affiliates based at institutions up and down the west coast of North America. Um, but we do work, uh, in low and middle income countries and low resource areas all over the world. Um, our network also includes a growing number of scholars from low and middle income countries, uh, who have either trained in person, uh, come, come spent a semester with us at UC Berkeley, or participated in our new, uh, non-resident fellowship program. So CIGA researchers, um. They evaluate innovations designed to reduce poverty and promote global development using rigorous evaluations, uh, uh, data science methods and new measurement tools. Um, we, uh, look at the impacts of large scale programs and policies. CIGA supports us by making grants, by seeding new partnerships across disciplines and across geographies, um, and also bringing people together like this to disseminate research. The World Bank's Development Impact evaluation Group DIME generates data and research to transform development policy and reduce extreme poverty. It develops customized data and evidence to produce actionable information and recommends specific policy pathways to maximize impact. So their DIME's work is based on a co-production model aimed at transferring know-how to partners to make mid-course corrections and scale up successful policy instruments. DM, uh, today is a team of 290 PhD economists, data analysts, program managers, data scientists, and engineers that partner with donor agencies, um, to deliver a $20,220 million research program to support adaptive implementation of $26 billion in development finance across 62 countries. They provide advisory services to, uh, 30 multilateral and bilateral development agencies all around the world. So every year our measuring development conference puts a spotlight on the types of uh data and approaches, analytical approaches that are being used in global development research, and I think this is a topic that sometimes gets missed in our conferences that are very focused on outcomes and interventions, um, so this conference, um. Ask questions like how can new sources of data fill information gaps in data sparse environments, uh, what technologies and partnerships can enable us to access these data, what methods and measurement tools might be most appropriate for answering specific questions related to development, and then how can the use of new sources of data and tools actually influence development outcomes. Um, so in past, in past years we've looked at, um. At data and measurement in in specific sector context so we've looked at health we've looked at infrastructure, uh, we've looked at environment. And climate. Um, today's conference is going to be cross-cutting, so, uh, we're looking at the role of mobile data across a number of different sectors, including the ones that I mentioned. And by mobile data, by the way, we mean data from mobile phones, from remote sensors, and other types of mobile devices, um, how they've been used in research. Uh, today we're going to hear about research related to targeting aid, understanding social unrest, diagnosing disease, and looking at how people move around. Um, we're gonna have some framing remarks by Ariana Legovini, who's the head of DIM. Uh, we're gonna have about 5 sessions of research presentations. Uh, Sveta Milosheva from the bank is gonna, uh, give us a primer of sorts on mobile data for development, get us all on the same page, and then we'll end with a round of lightning talks to get you all excited about other work that's happening. On these topics, so before I pass the mic to Ariana, I want to quickly go over some logistical details. Um, so first, because we have a very full agenda today, please save your questions for the end of each session. Um, our session chairs are going to manage the Q&A. We are going to prioritize questions from the live audience. Uh, if you have questions from the live stream, uh, on Webex, please enter them in the Q&A, and we will ask those questions if we have time. Uh, we're also going to direct speakers at the end of their talks to the presenters, sorry, to the organizers table over here so you can actually look at the questions that have come through and answer them, um, after your talk. Um, let's see. If you're an in-person participant, um, we really encourage you to continue the conversation during the coffee breaks and over lunch, um, and during our networking reception after the event today. Um, and then finally, we ask that you keep your masks on unless you're speaking, you're more than welcome to take it off, um, or unless you're eating or drinking, of course. Uh, any questions about logistics, questions? Where the bathroom is. I don't even know where that is, so. Um, anything at all. OK, great. So with that, I'm very excited to introduce Arianna Legovini who's the, um, director and founder of the Development Impact evaluation unit at the bank. Um, she's gonna give us some framing remarks for our, uh, event today. Thank you. Good morning everyone and thank you so much for joining us uh as uh Carson said, I'm the director and founder of the DME Group who specialize in tailored and customized data to understand development problems that we are trying to solve and use advanced analytics to prioritize investments, provide input into, um, design and implementation of our programs, our programs and also programs of partner organization. Organizations that we're working with and uh impact evaluation research to provide a a different way um for governments to take decisions in real time based on rigorous evidence um the idea of course is to transform the path of development not really judge as you all know not really judge whether people are doing well or not, but to really identify. You know, high marginal high margins where we can improve the impact of of uh development programs by shifting the path of decisions of government officials and other people involved in development we are really focused on developing capacities because at the end of the day through those capacities we can affect the decisions that make our our work worth it's while. So I, we will spend the whole day today. On a specific issue which is mobile technologies this is super exciting uh obviously we all have those technologies right at our fingertips through our you know online shopping, mobile banking, uh, streaming and social media apps and so forth and so on. At our fingertips, it's our classroom. Our movie theater, our shopping mall, and we take it today for granted, but these technologies have the potential of transforming completely the way we do development economics and um and development finance. Why? Because these developments, these digital solutions are actually addressing problems that we were not able to tackle in the past or at least not able to tackle them, you know, within reasonable cost. When I lived, um, when I lived in, uh, in Kenya back in the early 2000s there was barely anyone with a bank account but this of course was before M-Pesa. And PSA was launched in launched in 2007 and today 72% of Kenyans have a mobile banking account. Now this is one of the highest rates in the world. Through it they can of course deposit withdraw transfer funds they can pay for the utilities they can even get a coffee at Java House. And it is not just the average person, even the most vulnerable populations in Kenya demand their government transfers in the form of mobile cash. 95% of in fact of urban dwellers like to have their government check sent into their phones. Today many governments are even distributing funds for free. As part of the social protection programs to increase the government to person um relations. So the the idea of expanding of expanding digital uh access to all the populations holds an enormous promise and of course it's not without challenges and this is why research is very very important to for us to understand how to do this right and just get it right meaning uh understand what solutions are really transformational in the development in the development agenda. So the idea of providing people. With high value services such as education, health, social protection, um, business, agriculture, banking through their phones in real time it's extraordinary I think we forget that, you know, we forget that because we get so used to doing it that it seems like we've always been doing it in fact my son always says like mom how did you live without a phone, right? So what we call a phone, we know it's not a phone. It is just about everything, almost everything we need except for love. Well, so the interesting, um, thing about digital solutions of course is there are so many people out there thinking about what they can solve. So all these digital disruptors, for example, uh, we're working with uh you know I mentioned Kenya but of course they're everywhere. Um, providing solutions to, you know, Uberizing freight, connecting suppliers and buyers, uh, providing in mobile insurance for, uh, crops, etc. they really address a lot of the constraints in the supply chain of. Agriculture and other sectors that were not addressed before and therefore can be totally transformational in terms of increasing the amount of economic growth in our countries. Not only that, uh, but the provision of, for example, gamified educational apps to children who are not in the education system. Can be quite transformation in their ability to uh increase their own literacy and numeracy and um. Not only doing that but doing that much faster than traditional education systems we have seen that in a few months kids can learn in their own languages how to read and write and how to do basic math. And so kind of preparing them for a school system um that otherwise would have taken in the Africa region 23 sometimes 4 years to get them literate mHealth the same. One of the studies in India shows that information and incentives can can increase levels of vaccination by as much as 44%. So the, the, the promise for these applications to bridge the human development gaps are really impressive. Um, um. One of the um One of the important things of course of all these applications is that they generate a staggering amount of data. Uh, and we are not even close to. Kind of taking advantage of all these datas but today and through our throughout our day we'll look at how creative researchers have been in uh addressing or using. And and exploiting mobile data to understand the world in a way in which we have never really understood before with the level of granularity and and um uh depth asking very different questions that we were ever able to ask. Ask before for example in session one we'll see how mobile data combined with machine learning has been used to um can be used to target or improve targeting of humanitarian aid and even resilience to uh social unrest and crisis. The idea that we can use data in real time to identify who is affected by. Climate shocks by war by any type of event and actually being able to target those people in real time is amazing. I just, there is no halfway around that. In session 2 and 3 on health and and COVID we'll see how different type of applications can help us improve or reduce infant mortality, improve diagnosis of tropical disease, or improve and expand the way people seek and prevent and, and, um, um. Improve their own health outcomes these type of applications in health, I think, are really transformational, and we should think of them in a couple of different ways. One of course is that people can take care of their own health and improve their chances, but they also have big implications on the financial resource burden on public health systems and that's releasing um resources for pub those public health systems to work better. In uh in the session on transport we'll have uh a series of uh cases where we measure violence against women and also the impact of violence against women in public space on their mobility, education and labor market decisions that have huge implications on. Economic growth we'll also look at real-time mapping of car crashes around the city being able to prioritize where investment should go in a city to uh reduce mortality by half as for the SDG 3.6 and being able to use real-time data to look for example at mobility policies during COVID and understand what the impact of those policies was on road safety. The 4 the 4th session will be on methods here we will learn uh how to and what uh how to use data from mobile devices but also what are some of the constraints and issues that we need to think about. It will link back to this idea of distributing phones or increasing digital access to actually. Lower the bias in the data that we're looking at by having a wider set of populations being covered by these technologies and finally we'll have as mentioned by Carson the Ignite sessions that we hope is full of uh interesting studies telling us for example what people do, uh, how they spend their time and money, who they relate to, who they transact with or even how to monitor crops, monitor cities and so forth and so on that should be quite exciting. So the overarching message that I want to leave you with is that by exploring experimenting and validating these technologies we can learn a lot about how to scale up digital solutions but also how to shape those digital tools in a way that increases their usability and usefulness. Uh, so I'm gonna give a pitch to my colleague, uh, Zweta Milussheva who will talk about this, uh, um. What is it stayed off of that. State of play, the state of play, um, so there is a lot of data out there, but access to that data for researchers to use is still very much a constraint and an issue so we'll need to work together to find solutions to access to mobile data always respecting of course privacy concerns, um, for that data uh we'll hear more about that um after lunch. Now, uh, So of course I hope you enjoyed the day um and uh I think it will be a super super interesting day what I want to say is that we uh we at DIME and the whole research community makes itself available for practitioners and policy makers to work with to understand. Uh, and exploit other people's settings and and solution seeking and we hope that this day will be a mechanism through which, uh, we can establish better and stronger collaborations moving forward. So before leaving, uh the mic I want to first of all welcome all the researchers who creativity and productivity makes this day possible and exciting and of course the organizers. That have worked hard to get us all together, uh, both online and in person. This is my first in person so it's many people's uh other experience but also want to welcome some of the friends that have been. Uh, we're coming today to moderate the sessions who are long friends, uh, with long term partnerships. Uh, the first is Melis who's representing Mikhail Rutovsky who's the global director for social protection and jobs, uh, with the practice we have a wonderful collaborations on the partnership for economic inclusion that also includes a lot of the researchers, um, that will be here uh today around the table. And that we're launching phase two now uh in May with uh several governments around the world for the scale up of these economic inclusion programs hoping to develop sustainable poverty reduction strategies. Part of a country's social protection systems so that's really exciting. The second person I want to welcome is Soji. Soji is an old friend. He was one of the first people who gave me money for one of our first program of evaluation in malaria. That program had a huge impact on Global Fund policy transforming, uh, well at that point was called malaria case management into fever case management as we discovered most children have fever which was not related to malaria and a vertical program only related to malaria was not as effective as a program managing fever. Um, the third person I want to, uh, welcome is, uh, Nicola. Nicola is our incoming global director for transport. Again in transport we have a wonderful collaboration since 2015 called iConnect. iConnect is a program of evaluation of large infrastructure to understand how to maximize the impact of that infrastructure onto people's lives and we'll hear more about it later. I also want to welcome Norbert. Norbert is our chief economist for human development. He just completed a very important report, um, documenting the impact of COVID on uh human development outcomes, a very, a very sobering, uh, report, and, uh, he comes here today. Uh, just like all of us to understand what solutions we can advocate for, uh, evidence-based solutions that, uh, we can take to scale to help bridge the human development gap. And I welcome Art. Art is our deputy chief economist and he will be moderating the method sessions. He's a staunch supporter of the expansion of, uh, research in development economics and, uh, we welcome here as well. So thank you very much all of you, uh, for coming to today and everybody online as well who who are the people that I usually look at. So it's a good uh change in uh in mode. Thank you very much.
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Measuring Dev 2022 Opening
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Measuring Development 2022: The Role of Mobile Data in Global Development Research — Introduction and Opening Remarks Recording
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