Designing, testing, and scaling evidence-based solutions to poverty
We work with partners to identify pressing development challenges and promising interventions to address them.
Our research team designs rigorous randomized evaluations and other studies to test program effectiveness.
We implement evaluations with strict scientific standards, measuring program impact and cost-effectiveness.
We translate findings into accessible formats and share lessons with policymakers and practitioners.
We support partners in adapting and scaling proven interventions to reach more people.
We continuously refine programs based on evidence, ensuring ongoing improvement and adaptation.
We work across development sectors to generate evidence and drive impact
Improving learning outcomes, increasing school attendance, and enhancing education quality through evidence-based interventions. We test pedagogical approaches, teacher training programs, and educational technology solutions.
Increasing healthcare access, improving health behaviors, and strengthening health systems. Our work spans maternal health, infectious disease prevention, mental health, and healthcare financing.
Testing innovative financial products and services for the poor, including microfinance, mobile money, savings programs, and insurance schemes designed for low-income populations.
Enhancing agricultural productivity and farmer incomes through improved farming techniques, market linkages, climate adaptation strategies, and agricultural technology adoption.
Creating sustainable livelihoods through entrepreneurship support, job training, graduation programs, and interventions to boost small business growth and employment.
Strengthening institutions, improving public service delivery, enhancing accountability, and testing interventions to reduce corruption and increase citizen engagement.
Addressing climate change impacts, promoting sustainable resource management, and testing interventions for environmental conservation and climate adaptation.
Evaluating cash transfer programs, safety nets, and social insurance schemes designed to protect vulnerable populations and reduce poverty.
The gold standard for measuring program impact. We randomly assign participants to treatment and control groups to isolate program effects.
When randomization isn't feasible, we use alternative rigorous methods like difference-in-differences and regression discontinuity designs.
In-depth interviews, focus groups, and ethnographic studies provide context and understanding of how and why programs work.
We measure not just impact but also cost-effectiveness, helping policymakers allocate resources efficiently.
We study the practical challenges of program delivery, identifying best practices for successful implementation at scale.
Many of our studies track outcomes over years to understand program sustainability and long-term impacts.