The Abdul Latif Jameel Poverty Action Lab (J-PAL) is a global research center working to reduce poverty by ensuring that policy is informed by scientific evidence. Anchored by a network of more than 1,000 researchers at universities around the world, J-PAL conducts randomized impact evaluations to answer critical questions in the fight against poverty.
The Abdul Latif Jameel Poverty Action Lab (J-PAL) is a global research center working to reduce poverty by ensuring that policy is informed by scientific evidence. Anchored by a network of more than 1,000 researchers at universities around the world, J-PAL conducts randomized impact evaluations to answer critical questions in the fight against poverty.
Our affiliated professors are based at over 120 universities and conduct randomized evaluations around the world to design, evaluate, and improve programs and policies aimed at reducing poverty. They set their own research agendas, raise funds to support their evaluations, and work with J-PAL staff on research, policy outreach, and training.
Our research, policy, and training work is fundamentally better when it is informed by a broad range of perspectives.
Research Manager, J-PAL South Asia
Anchal is a Research Manager in the Social Networks Lab. She specializes in applying quantitative methods to understand social behaviors and policy outcomes. With a Master’s in International and Development Economics from the University of San Francisco, Anchal has worked extensively on impact evaluations, experimental economics, and policy research.
Her experience spans roles at NewGlobe, The World Bank, and various academic institutions, where she has led data-driven research on education, behavioral interventions, and economic development. She has co-authored papers on climate law, and behavioral nudges, demonstrating her commitment to translating rigorous research into actionable policy insights.
Anchal’s work is grounded in mixed-methods analysis to uncover meaningful patterns in large datasets. Passionate about fostering data-driven decision-making, she continues to explore innovative ways to measure and improve social and economic outcomes.