Where research and policy join hands to drive social progress.
We believe policy should be shaped by rigorous, data-driven research that puts people first.
Our model is rooted in research-practice partnerships, working with partners around the globe to understand the challenges their communities face. We use data-driven research to co-develop workable solutions, to rigorously test them in programs and policies, and iterate as necessary.
Research Partnerships
We conduct collaborative, on-the-ground research across five continents.
Featured Projects
Our research supports real-world policy initiatives that address inequities and shed light on challenges faced by marginalized people.
Policy Partners
Our partners are governments at all levels, civil society groups, nonprofits, and anyone working to improve the lives of marginalized people.
Latest News
Visit our news page to see the latest Forward Society (FOS) Lab announcements and updates.
Carolina Arteaga's 'Ingenious' Research on the Opioid Crisis Featured in The New Yorker
Together with Victoria Barone, FOS Affiliate Carolina Arteaga explores how opioid marketing amplified economic and political divides in the U.S.
Investigating the Power of Physicians’ Daughters
A new working paper by Tianyi Wang and co-authors reveals that male physicians with daughters deliver better health outcomes for female patients.
Accurate Information Can Correct Misperceptions and Drive Public Demand for Democracy
Insights from VoxDev article by FOS Affiliate Ceren Baysan and co-authors examining the impact of accurate information on voter behavior and demand for democracy.
Events
We host seminars, workshops, and conferences.
Second International Symposium on Research and Impact in Education
A focused day of educational evidence at the Second International Symposium in San Juan, jointly organized by FOS and the Puerto Rico Department of Education
Nathan Kallus on Seminar Series: Causal Inference and Data Science for Improved Policy
Our third interdisciplinary series seminar featured Prof. Nathan Kallus from Cornell University discussing "Debiased Inference on Functionals of Inverse Problems and Applications to Long-Term Causal Inference"