- open finances
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