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Freely available data: The public good that keeps on giving?

Markus Goldstein's picture
David Evans blogged last week on some interesting impact evaluation work presented at the annual conference at the Center for the Study of African Economies, in Oxford, UK. We were at the conference too, and enjoyed it at least as much as David did.

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.

Agriculture as Enterprise: An Evolution of Thought and Perspective to Increase Outcomes for India's Farmers

It started with data!
In 2007-08, an evaluation by Catalyst Management Services of a tribal livelihoods initiative for the State Planning Commission of Madhya Pradesh showed that agriculture as a livelihoods option was unproductive and  for small tribal farmers; leaving them without a profitable livelihood option. But it wasn’t because of prices, or barriers to entry. Instead, it was because crucial services and government schemes were not reaching those who needed them most.
According to the data, only 10-12% of small producers were able to access vital extension schemes and a mere 7-8% of other government schemes. The evaluation found that large farms were crowding out the smaller farmers from accessing key subsidies and benefits. So the State Planning Commission posed a challenge: find a way to reach these marginalized tribal farmers in Madhya Pradesh. 

Small teams, big ideas: open data ambition runs from start ups to governments

Liz Carolan's picture
The ODI’s Liz Carolan reflects on a new network of government leaders driving open data 

One of the things we do at the Open Data Institute (ODI) is incubate start ups. Start ups, I have learnt in my 12 months working here, usually begin as being just one or two individuals with a good idea. They have some sort of plan to make that idea a reality. They have some manifestation of the entrepreneurial leadership qualities to at least try to make that idea work. They never have enough time, money or people, and they ordinarily start out surrounded by people telling them all the reasons why it won’t succeed.

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.

Can you visualize the structure of the world economy and population in one chart?

Morgan Brannon's picture
Following the International Comparison Program (ICP) 2011 final report release from last October, there was particular interest in the charts presenting the results. To give a deeper explanation of one of the most popular charts, we’ve recently produced this video:
Real GDP Per Capita and Shares of Global Population, ICP 2011
Source:  ICP,

Despite expectations, cities in East Asia are becoming denser

Chandan Deuskar's picture
When we think of urban expansion in the 21st century, we often think of ‘sprawl’, a term that calls to mind low-density, car-oriented suburban growth, perhaps made up of single-family homes. Past studies have suggested that historically, cities around the world are becoming less dense as they grow, which has prompted worries about the environmental impacts of excess land consumption and automobile dependency. A widely cited rule of thumb is that as the population of a city doubles, its built area triples. But our new study on urban expansion in East Asia has yielded some surprising findings that are making us rethink this assumption of declining urban densities everywhere.

New data and research help measure a decade of urban expansion across East Asia

Chandan Deuskar's picture
How do you measure something when there’s no agreement on how to define an indicator?  How do you compare urban data when the word “urban” doesn’t have the same definition in every country? And what happens when cities stop counting the population that starts to spill over the municipal boundaries?


Big Data needs better questions

Elizabeth Sabet's picture

The term "big data" is much in the news lately – alternatingly touted as the next silver bullet potentially containing answers to myriad questions on natural and human dynamics, and dismissed by others as hype.  We are only beginning to discover what value exists in the vast quantities of information we have today, and how we are now capable of generating, storing, and analyzing this information. But how can we begin to extract that value?  More importantly, how can we begin to apply it to improving the human condition by promoting development and reducing poverty?
That is precisely the question that motivated the World Bank Group and Second Muse to collaborate on the recently released report Big Data in Action for Development. Interviews with big data practitioners around the world and an extensive review of literature on the topic led us to some surprising answers.

Which countries could be affected by plunging oil prices: a data perspective

Siddhesh Kaushik's picture
Tumbling oil prices continue to dominate the headlines. Although oil prices have started to rise earlier in the week, this issue is still of concern to many oil-exporting countries.

(Source: FRED Economic Data)

A recent World Bank Group feature story broke down country by country the potential regional consequences. And according to the Bank Group’s Global Economic Prospects report, the decline in oil prices will dampen growth prospects for oil-exporting countries.

There are various factors that can be used to assess the impact of falling oil prices on countries. One such factor is trade. Countries exporting mostly fuel products will lose export revenue as oil prices drop. The chart below shows the top 15 countries that exported fuel in 2012. You can visualize the data for other years and products using the World Integrated Trade Solution’s (WITS) product analysis visualization tool.