The ascent of financial inclusion in the policy agendas of governments and international organizations has been swift, to say the least. Its rise has been accompanied by a torrent of financial inclusion data, from supply-side indicators of bank branch penetration, to demand-side measures of the usage of formal accounts, to wide-ranging data on finance at the firm level. Yet with all these different datasets floating around, it has often been difficult to arrive at a holistic understanding of the financial inclusion landscape in a particular country, or develop international standards of measurement and monitoring. With the release on April 21st of the G20’s Financial Inclusion Data Portal showcasing the ‘G20 Basic Set of Financial Inclusion Indicators’, we hope that that will change.
Last week, the World Bank launched a much-improved version of its Open Data Catalog. We first discussed our plans for the new catalog in a blog post a few months ago, as the next step in the open data principles that we outlined last year.
What's new in the data catalog? Some of the changes are obvious. For starters, the catalog is more user-friendly. All the essential information is available in a one-page list, which you can sort by name, popularity, or date. You can access bulk downloads, APIs or query tools from the same page with a single click. And you can see all the available metadata without having to visit separate pages on various sites.
World Bank Group President Jim Yong Kim recently announced ambitious goals to end poverty and boost shared prosperity, with a target to reduce the percentage of absolute poor – those living on or less than $1.25 a day (in 2005 PPP) – to 3 percent by 2030. The Bank, he said, will also focus on expanding opportunities for those living at the bottom 40 percent of the income or consumption distribution in each country.
This post is part of the Q&A Series with the Data Ambassadors from DataDive2013. You can also read an interview with the fraud and corruption data ambassadors, a recap of Data Dive 2013, and watch the presentations from the weekend.
Photo credit: Itir Sonuparlak
During DataDive 2013, each project had an assigned data ambassador, a leader to guide and direct the research and efforts of the teams. In the days following the DataDive, we spoke with two of the data ambassadors from the fraud and corruption related projects to learn more about their experiences. Read their responses below and join the conversation in our comments section.
- Taimur Sajid develops financial models to asses risk for a financial firm and acted as a data ambassador during the DataDive.
- Marc Maxson is an Innovation Consultant with Global Giving and brought his Heuristic Auditing Tool to the DataDive.
This post is part of the Q&A Series with the Data Ambassadors from DataDive2013. You can also read an interview with the poverty data ambassadors, a recap of Data Dive 2013, and watch the presentations from the weekend.
Data Ambassadors posing at the end of DataDive 2013. Photo Credit: Carlos Teodoro Linares Carvalho.
During DataDive 2013, each project had an assigned data ambassador, a leader to guide and direct the research and efforts of the teams. In the days following the DataDive, we spoke with four of the data ambassadors from the poverty projects to learn more about their experiences. Read their responses below and join the conversation in our comments section.
- Monique Williams is an independent consultant and a statistician at the U.S. Government Accountability Office. She led and represented the UNDP Resource Allocation team.
- Nick McClellan is the web production editor for the New America Foundation and he represented the Night Illumination team.
- Max Richman is an independent consultant who provides research and technology services to non-profits, foundations and governments focused on international development. He led the Website Scraping team.
- Tom Levine works in data analysis and he represented the Arabic Tweets project.
Where are IFC’s SME clients located? How much has IFC invested in infrastructure projects in Africa? How have IFC’s investments in different sectors changed and grown over time?
For the first time, users will be able to find the answers to these and many more questions about International Finance Corporation’s (IFC) work on the World Bank Group’s Open Finances website. Eight data sets with detailed information on IFC’s financial commitments and projects are now available for the public to slice, visualize and share in the ways that they choose.
Following last month's DataDive 2013, we continue our commitment to the work that started during the event. It’s astonishing to reflect on the accomplishments of a mere 24 hours of work. These events are particularly exciting and important because they bring many ideas and new possibilities to problems that seemed intractable for so long.
In case you weren’t able to attend, or if you did and would like to relive the weekend, here are videos from each team’s final presentation. Take a look for yourself and let us know which of these findings best fit your work and goals.
Scraping Websites to Collect Consumption and Price Data
Using a software technique for extracting data from websites, the presentation by Team Ndizi, which means banana in Swahili, unearthed data sources on food prices and consumption of bananas and rice in Kenya, as well as Indonesia. The team hopes that this analysis will serve as a faster and easier estimate of inflation.
Por más de 13 años, los objetivos de desarrollo del milenio (ODM) han proporcionado un punto de referencia para medir el avance hacia importantes resultados de desarrollo: poner fin a la pobreza extrema, educar a los niños, empoderar a las mujeres, reducir la mortalidad y las enfermedades y garantizar la sostenibilidad ambiental. Los ODM han contribuido a movilizar el respaldo a programas de desarrollo y han alentado medidas más coherentes por parte de los donantes y asociados.
For over 13 years, the Millennium Development Goals (MDGs) have provided a yardstick for measuring progress toward important development outcomes: eradicating extreme poverty, educating children, empowering women, reducing mortality and disease, and ensuring environmental sustainability. They have helped to mobilize support for development programs and encouraged more coherent actions on the part of donors and partners. The MDGs have also stimulated demand for better statistics and new programs to increase the capacity of developing countries to produce and use statistics. Now, as the deadline for the MDGs approaches, there is a two-pronged effort underway: first, to accelerate progress toward the MDG targets in the final “1000 days” before 2015, and second, to define a post-2015 development agenda and the timeframe and targets that will be used to monitor it.
As part of our Open Data initiative, we’ve just launched a new World Bank Data Help Desk, a platform that integrates feedback, help desk, and knowledge management tools into one easy-to-use platform. We hope it will empower users to get quicker answers to their questions, and encourage a dialogue about how to improve data for development.
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