IDEV Masters and Doctoral Students are encouraged to join the MCC Open Data Collection Challenge

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PhD Alumnus and Senior Program Officer for Integrated Delivery at the Bill & Melinda Gates Foundation Paulin Basinga alerted the Payson Center to a unique opportunity for International Development Masters and Doctoral students to make a contribution in the field of data analysis by participating in the Millennium Challenge Corporation's Open Data Challenge.

The Millennium Challenge Corporation (MCC) is an innovative and independent U.S. foreign aid agency that is helping lead the fight against global poverty.

What is the Open Data Challenge?

Using data available on the MCC Evaluation Catalog, MCC is looking for up-to 7,000-word papers that provide analysis in any of the following categories:
  • Analysis that supports or challenges assumptions made in ex-ante economic rate of return estimates (all ERRs are available on the MCC public Web site) 
  • Analysis that supports or challenges results of independent evaluations (all final evaluation reports are published on the MCC Evaluation Catalog)
  • Deeper dive analysis that goes beyond analysis presented in independent evaluator reports
  • Policy relevant analysis, particularly on topics related to MCC priorities, such as gender and poverty-related analysis

Who is eligible?

MCC is looking for current domestic and international masters and PhD students studying in international development, economics, public policy, or related programs to be the lead authors responsible for analysis and interpretation of results using data available on the MCC Evaluation Catalog.
 
MCC encourages students to partner with professors or other professionals that may contribute to the technical rigor of the paper.

How to obtain more information:

Interested students are encouraged to review the Millennium Challenge Corporation's Open Data Challenge Web page and direct any questions to mccdatachallenge@mcc.gov

Jennifer Sturdy, Director of Independent Evaluations at MCC says, "we expect this first challenge to identify additional uses for the data above and beyond producing the independent evaluations, and help improve our documentation and dissemination practices in order to maximize its use."

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