Addressing Inequality: Mathematica Offers Evidence and Insight at APPAM International Conference

Addressing Inequality: Mathematica Offers Evidence and Insight at APPAM International Conference

Jun 09, 2016

A team of Mathematica researchers will present their work at the Association for Public Policy Analysis and Management (APPAM) International Conference at the London School of Economics. In a series of panel discussions, roundtables, and presentations, the team will highlight some of the latest evidence on the sources of inequality within and between nations in the areas of health, education, climate change, and economic development—and offer potential strategies to address that inequality. 

Matt Sloan, Director of Mathematica’s Center for International Policy Research and Evaluation (CIPRE), will present early learning from The MasterCard Foundation Scholars Program. The Scholars Program fosters a cohort of next-generation leaders who can help transform society and grow the economy in their home communities or countries. Watch the video below to learn more about our work on The MasterCard Foundation Scholars Program or read our brief, "Transformative Leadership."

In addition, Anu Rangarajan, director of Mathematica’s International Division, will describe the equity implications of findings from a large-scale maternal and child health and nutrition program in Bihar, India, which is part of the Bill and Melinda Gates Foundation’s Ananya Initiative. Senior researcher Duncan Chaplin will present findings from the Millennium Challenge Corporation's Tanzania Energy Project, which was designed to alleviate poverty by enhancing access to energy. Chaplin will also describe the overall evaluation plan and discuss challenges associated with evaluating energy infrastructure projects. Finally, Mathematica senior fellow and senior vice president Craig Thornton will convene a roundtable that will talk about how climate change risks are creating inequality among and within cities and what policy researchers can do to help improve the situation.

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