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J-PAL North America’s inaugural Climate Action Learning Lab provided six U.S. cities and states with customized training and resources to leverage data and evaluation to advance climate solutions that work.
The IECP will generate rigorous evidence for fair and effective public safety solutions.
Solar electric vehicle pioneer James Worden ’89 brought his prototype solar electric boat to MIT to talk shop with students and share his vision for solar-powered boats.
MIT master’s student and Brazilian diplomat Davi Augusto Oliveira Pinto wants to help policymakers make informed choices to improve people’s lives.
Gevorg Minasyan MAP ’23 draws on experiences in MIT’s Data, Economics, and Design of Policy MicroMasters and master’s programs to shape policymaking at the Central Bank of Armenia.
One combination of methods led to a 44 percent increase in child immunizations.
ADEPT brings together universities, governments, and other members to empower the next generation of policymakers with the tools to innovate, test, and scale effective public policies and programs.
Students can excel at mental math in marketplace jobs but struggle with formal math in the classroom, and vice versa.
As a child, a civil war drove Mlen-Too Wesley out of Liberia. As an adult, he has returned and is applying what he learned in an MITx MicroMasters program to help the West African nation thrive.
Selected LEVER collaborators will work with the organization to develop an evaluation of their respective programs that alleviate poverty.
Shared commitment to data-driven approach will help identify new policy solutions to reduce poverty and increase economic mobility in the US.
The MITx MicroMasters in Data, Economics, and Design of Policy program educates learners around the world using its data-driven approach to poverty alleviation.
Namrata Kala’s wide-ranging research shows how climate change and other factors affect companies and their employees.
In the new economics course 14.163 (Algorithms and Behavioral Science), students investigate the deployment of machine-learning tools and their potential to understand people, reduce bias, and improve society.
Students have new avenues for learning and research on the most effective approaches to fighting poverty in the US and other high-income countries.