Photo Credit: Neil Fantom
A more detailed recap will follow soon but here’s a very quick hats off to the about 150 data scientists, civic hackers, visual analytics savants, poverty specialists, and fraud/anti-corruption experts that made the Big Data Exploration at Washington DC over the weekend such an eye-opener.
If you haven’t registered yet for the Big Data Exploration event at the World Bank on March 15-17, you really should. After stops in Venice, Vienna, and a pre-event at Washington DC, data divers assemble at DC this weekend to take another crack at issues related to poverty measurement, plus fraud/anti-corruption in operations and to demonstrate whether and how practitioners can use big/open data to get results for traditionally knotty development problems (which are relatively difficult or expensive to resolve using standard techniques).
Developing countries today have unprecedented numbers of schools, classrooms, teachers—and students. Remarkable accomplishments have also been made towards achieving gender equality at all levels of education (see World Bank, 2010). Since 1999, girls’ gross enrollment rates have risen fastest in South Asia, especially at the primary level, by about 30 percentage points; in South Asia, girls’ enrollment rates at the secondary level rose almost as fast. In the other regions where girls’ enrollment rate at the primary level was already very high, girls’ enrollment rate at the secondary and tertiary levels showed impressive increases.
Marking the second annual International Open Data Day, Washington D.C. was one of more than 100 cities worldwide on February 23 to host a hackathon. Data enthusiasts gathered at the World Bank to show support for and encourage the adoption of transparent policies by the world's local, regional, and national governments.
- open finances
Eighteen months ago we watched President Kibaki launch the Kenya Open Data Initiative (KODI) to broad acclaim and fanfare. All our initial expectations were very high.
If you're playing catch up, read more about the plans and potential impact for future Data Dives. Also have a look at what colleagues at a Data Dive in Venice accomplished by analysing World Bank contracts and vendors. And now, read the cross-posted blog below from UNDP's Giulio Quaggiotto and World Bank's Prasanna Lal Das who ask: Would You Give Up Your Personal Data for Development?
New debt statistics show that the composition of long term debt inflows in 2011 follows pre-crisis patterns.
Debt statistics are central to understanding the impact of the financial crisis; the World Bank's International Debt Statistics provides a detailed picture of debt flows of 128 developing countries. Now that the 2013 edition has been released, and as a member of the team that put it together, I thought I would look back at what the data tell us actually happened to international debt flows to developing countries before and after the recent financial crisis.
A new Stata module wbopendata has been released. The module can be installed or updated directly from within Stata using Statistical Software Components (SSC) repository.
The new features of this release include:
- Updated list of indicator, with over 1,000 new indicators, adding up to 7,349 series;
- Ability to download multiple series of indicators;
- Information such as series frequency, variable name, and label are now stored, and returned as macros.
Last week, on my way home from work, I met a young man raising funds for a charity. He stood outside of a subway station and as part of his pitch, he asked, "if you could have any superpower, what would it be?" I offered the same answer I have been giving my children for years. "I have a superpower. It's reading." I suspect this both annoys and inspires my children. Given that annoying and inspiring are among my favorite parental duties, I rather like this answer.