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A global movement against corruption: It is happening now!

Leonard McCarthy's picture

Also available in: Español | Français | العربية

Third Annual International Corruption Hunter AllianceTaking note of headline news in recent weeks, one cannot escape the reality that efforts to fighting corruption are succeeding. A decade ago, success was a privilege to societies who -by virtue of democratic gains- could claim rights to holding public officials accountable. Today, it is not easy to get away with corruption. Not even if you are a major multinational, a senior government official, or an institution with millions of followers across the world.

Within our network- the World Bank International Corruption Hunters Alliance- we feel optimistic about all that is happening to support our mission; that of ensuring every development dollar is spent with integrity. We go to work every day and the focus is how do we prevent bad things from happening. To achieve that at the World Bank Group, we are continually advancing our investigative techniques, our preventive advice, monitoring the compliance standards of debarred entities and engaging with partners across multilateral development banks, national enforcement agencies and CSOs to strengthen this young global movement against corruption. It is critical that this momentum continues to sustain change at a global scale.

Undoubtedly we face a few challenges along the way; some more complex than others, none that cannot be overcome. Last fiscal year, the World Bank prevented approximately $138 million across 20 contracts from being awarded to companies that had attempted to engage in misconduct. This is progress that could not have been achieved without years of investigative experience invested in gathering evidence, recognizing patterns of misconduct, and documenting lessons learnt.

Today, we are able to support project teams to make smarter risk-based interventions. Whether at  project design, supervision and/or evaluation; our diverse team of investigators and forensic/preventive specialists offer a solid interpretation of red flags, unusual/awkward behavior by contractors, in addition to an effective response to allegations of misconduct impacting World Bank-financed projects.

A peek at the media coverage of SDGs: What is it telling us?

Mauricio Ríos's picture

Pope Arrives in General Assembly Hall for His AddressThe United Nations General Assembly recently adopted the Sustainable Development Goals (SDGs) in New York in the midst of great expectation and hype. The 17 SDGs, with 169 specific targets, are now becoming the road map for governments and the international development community for the next 15 years.

Now that all the publicity and excitement are starting to settle down, it seems opportune to look at the media coverage of the SDGs and developing countries to get a sense of how that coverage has played out over the past few weeks, and what some of the insights are that we can learn from for the way forward. This coverage mainly includes articles from various publications, websites, and blog posts in the English language. It does not include social media statistics from Tweeter or Facebook.  

An analysis of this media coverage featuring the key words “SDGs” and “developing countries” show that, over the past three months, more than 2,400 articles mentioned these two key words somewhere in the text of the articles. The analysis, using the Newsplus database, covers the period July 8-October 8. It shows that almost a quarter of that coverage (more than 600 entries) took place during the last week of September when the UN meetings were held. However, the second week of July, right before the summer break, was also active in terms of SDG-related coverage, signaling an important communications effort in the lead up to the UN September meetings.

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The things we do: How technology undermines our ability to lie

Roxanne Bauer's picture

We are told, on average, around 200 lies per day.  Most of these lies are harmless and meant to protect the self-esteems of the liar or the one being lied to.  However, as technology and social media become more integral to our lives, how will our ability to deceive change?

youth using smartphonesAs technology and the so-called ‘Internet of Things’ becomes more pervasive in our lives, the amount of information we leave as online bread crumbs also expands. Online advertising companies, for instance, collect huge amounts of information about our browsing histories, which can unearth a pretty comprehensive profile of what we've been up to on the Internet— and by extension in reality. Moreover, smartphones are very sophisticated tracking and eavesdropping devices that follow our every move, from fitness tracking and location services to text messages and social media apps.
 
As individuals, we can manipulate our online personas so that only the best of us is shown.  We may post photographs of our vacations, tweet about our chance encounters with celebrities, or write status updates that sound optimistic and cheerful— all the while omitting our headaches and heartaches.  But what happens when our Fitbits reveal our connection to our sofas or our smartphones expose our in previously denied affection for Taylor Swift?
 
In a paper published in the Vanderbilt Journal of Entertainment & Technology Law in 2012 Kathryn R. Brown distilled research on social media psychology and found that users screen photographs of themselves in order to present themselves as “attractive” and “having fun”. She also found that they adjust their personas to seem “socially desirable,” “group-oriented,” and “smiling.” At the same time, “individuals are unlikely to capture shameful, regrettable, or lonely moments with a camera.”
 

Median impact narratives: Who, why, and how

Heather Lanthorn's picture

​​Storytelling is essential to persuasion. But how do we decide which stories to tell? Heather Lanthorn reviews median impact narratives and explains why they are more than just window dressing.

Way back in January, an interesting conversation took place on the Development Impact blog; I am just catching up on the conversation. The conversation featured a 7 January guest post by Bruce Wydick, who advocated the idea of “median impact narratives,” and subsequent commentary.

In short, Bruce recognizes that even when solid quantitative causal evidence exists,

“A good narrative soundly beats even the best data.  Economists and scientists of all ilks need to digest what for many is an unpleasant fact:  In the battle for hearts and minds of human beings, narrative will consistently outperform data in its ability to influence human thinking and motivate human action.”

Bruce further points out (to take a bit of liberty with his words) that, sadly, Stalin was right about at least one thing (to paraphrase): a single death is a tragedy while a million deaths is a statistic. And people do rather better with making sense of and feeling empathy for a single victim (or success) than for a large number of statistical people and their myriad outcomes (e.g.). This leads Bruce to an important question: how to choose which individuals to highlight? What Bruce’s post gets around to (and as he confirmed with me in a follow-up email, thank you!) is really a question about sampling for qualitative research and placing (and valuing) anecdotes within the context of the study sample and population.

Weekly wire: The global forum

Roxanne Bauer's picture
World of NewsThese are some of the views and reports relevant to our readers that caught our attention this week.
 

It’s not what you spend
The Economist
FOR decades rich countries have sought to foster global development with aid. But all too often there is little to show for their spending, now over $135 billion a year and rising. Success depends on political will in recipient countries, says Erik Solheim of the Development Assistance Committee of the OECD, a club of mostly rich countries that includes the biggest donors. And that may well be lacking. What donors will pay for may not be what recipients deem a priority. So poor countries’ governments say what they must to get cash, and often fail to keep their side of the deal. Aid to build schools may be used to give fat contracts to allies, and the schools left empty. Ambulances bought by donors may rust on the kerb, waiting for spare parts. Now donors are trying a new approach: handing over aid only if outcomes improve. “Cash on delivery” sees donors and recipients set targets, for example to cut child mortality rates or increase the number of girls who finish school, and agree on how much will be paid if they are met.

Forget The Fitbit: Can Wearables Be Designed For The Developing World?
Fast Co.Exist
When we think of wearable technology today, we think of the Fitbits or the Apple Watch. But to many people, tracking our steps or sleep in unprecedented detail or getting a notification slightly faster is interesting but ultimately not quite useful enough. The quantified self, in the context of people who have access to any technology they want, can be inherently self-absorbed. Imagine a different use case: An impoverished woman in rural Africa, pregnant with her first child and many miles away from medical care. Here, a wearable that helps her track her pregnancy and let her know if she needs to get to a doctor could mean life or death for her unborn child.
 

Is a Data Revolution under way, and if so, who will benefit?

Duncan Green's picture

RicardoFuentesNieva croppedGuest post from the beach big Data Festival in Cartagena, Colombia, by Oxfam’s Head of Research and paid up member of the numerati, Ricardo Fuentes-Nieva (@rivefuentes)

A spectre is haunting the hallways of the international bureaucracy and national statistical offices – the spectre of the data revolution.  Now, that might suggest a contradiction in terms or the butt of a joke – it’s hard to imagine a platoon of bespectacled statisticians with laptops and GIS devices toppling governments. But something important is indeed happening – let me try and convince you.

A new research report by ODI  “Data Revolution – Finding The Missing Million”  (launched yesterday in Cartagena during a Data Festival) tries to make sense of the coming data revolution, and what it means for international development. According to the authors: The data revolution is “an explosion in the volume of data, the speed with which data are produced, the number of producers of data, the dissemination of data, and the range of things on which there are data, coming from new technologies such as mobile phones and the internet of things and from other sources, such as qualitative data, citizen-generated data and perceptions data.”

For the numerically minded (I proudly include myself in this group) this is a rather welcome transformation. Data, data everywhere – but then why haven’t we, number geeks, solved all of the world’s problems yet?
 

Quote of the Week: Janan Ganesh

Sina Odugbemi's picture

Flags fly in front of United Nations Headquarters in New York City"All zones of public discourse have their excesses and irrationalities, but none like foreign policy. In our golden age of data, this is one area that remains resiliently unmeasurable. So anyone can say anything as long as they say it sonorously and use the word “strategy” a lot."
 
- Janan Ganesh, a political columnist for the Financial Times. Previously, he was a political correspondent for The Economist. He appears weekly on BBC1's Sunday Politics television show and wrote a biography of George Osborne, the UK chancellor.
 

Building evidence-informed policy networks in Africa

Paromita Mukhopadhyay's picture

Evidence-informed policymaking is gaining importance in several African countries. Networks of researchers and policymakers in Malawi, Uganda, Cameroon, South Africa, Kenya, Ghana, Benin and Zimbabwe are working assiduously to ensure credible evidence reaches government officials in time and are also building the capacity of policymakers to use the evidence effectively. The Africa Evidence Network (AEN) is one such body working with governments in South Africa and Malawi. It held its first colloquium in November 2014 in Johannesburg.  



Africa Evidence Network, the beginning

A network of over 300 policymakers, researchers and practitioners, AEN is now emerging as a regional body in its own right. The network began in December 2012 with a meeting of 20 African representatives at 3ie’s Dhaka Colloquium of Systematic Reviews in International Development.

Buffet of Champions: What Kind Do We Need for Impact Evaluations and Policy?

Heather Lanthorn's picture
I realize that the thesis of “we may need a new kind of champion” sounds like a rather anemic pitch for Guardians of the Galaxy. Moreover, it may lead to inflated hopes that I am going to propose that dance-offs be used more often to decide policy questions. While I don’t necessarily deny that this is a fantastic idea (and would certainly boost c-span viewership), I want to quickly dash hopes that this is the main premise of this post. Rather, I am curious why “we” believe that policy champions will be keen on promoting and using impact evaluation (and subsequent evidence syntheses of these) and to suggest that another range of actors, which I call “evidence” and “issue” champions may be more natural allies. There has been a recurring storyline in recent literature and musings on (impact) evaluation and policy- or decision-making:
  • First, the aspiration: the general desire of researchers (and others) to see more evidence used in decision-making (let’s say both judgment and learning) related to aid and development so that scarce resources are allocated more wisely and/or so that more resources are brought to bear on the problem.
  • Second, the dashed hopes: the realization that data and evidence currently play a limited role in decision-making (see, for example, the report, “What is the evidence on evidence-informed policy-making”, as well as here).
  • Third, the new hope: the recognition that “policy champions” (also “policy entrepreneurs” and “policy opportunists”) may be a bridge between the two.
  • Fourth, the new plan of attack: bring “policy champions” and other stakeholders in to the research process much earlier in order to get up-take of evaluation results into the debates and decisions. This even includes bringing policy champions (say, bureaucrats) on as research PIs.

There seems to be a sleight of hand at work in the above formulation, and it is somewhat worrying in terms of equipoise and the possible use of the range of results that can emerge from an impact evaluation study. Said another way, it seems potentially at odds with the idea that the answer to an evaluation is unknown at the start of the evaluation.

#1 from 2014: Anecdotes and Simple Observations are Dangerous; Words and Narratives are Not

Heather Lanthorn's picture
Our Top Ten blog posts by readership in 2014.
This post was originally posted on January 23, 2014

 

In a recent blog post on stories, and following some themes from an earlier talk by Tyler Cowen, David Evans ends by suggesting: “Vivid and touching tales move us more than statistics. So let’s listen to some stories… then let’s look at some hard data and rigorous analysis before we make any big decisions.” Stories, in this sense, are potentially idiosyncratic and over-simplified and, therefore, may be misleading as well as moving. I acknowledge that this is a dangerous situation.

However, there are a couple things that are frustrating about the above quote, intentional or not.

  • First, it equates ‘hard data’ with ‘statistics,’ as though qualitative (text/word) data cannot be hard (or, by implication, rigorously analysed). Qualitative twork – even when producing ‘stories’ – should move beyond mere anecdote (or even journalistic inquiry).
  • Second, it suggests that the main role of stories (words) is to dress up and humanize statistics – or, at best, to generate hypotheses for future research. This seems both unfair and out-of-step with increasing calls for mixed-methods to take our understanding beyond ‘what works’ (average treatment effects) to ‘why’ (causal mechanisms) – with ‘why’ probably being fairly crucial to ‘decision-making’ (Paluck’s piece worth checking out in this regard).

In this post, I try to make the case that there are important potential distinctions between anecdotes and stories/narratives that are too often overlooked when discussing qualitative data, focusing on representativeness and the counterfactual. Second, I suggest that just because many researchers do not collect or analyse qualitative work rigorously does not mean it cannot (or should not) be done this way. Third, I make a few remarks about numbers.

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