Where research meets policy for economic and 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.
Opportunities for Computer-Assisted Learning and Outcomes in Puerto Rico
Findings presented at the Puerto Rico International Future of Education (IFED) Conference 2026 highlight how computer-assisted learning can improve outcomes at scale, but only when education systems ensure sustained, structured use.
The Case for Loosening Closed-Visa Programs
Insights from FOS Affiliate Kory Kroft and co-authors in the Chicago Booth Review, illuminating how permanent residency can unlock economic mobility for temporary foreign workers in Canada.
New Study Points to Impact of Pharmacist Prescribing Rules
A new Canadian Affairs article on research by Alex Hoagland and co-authors shows that pharmacist prescribing reduces visits to emergency departments but may increase demand elsewhere in the system.
Events
We host seminars, workshops, and conferences.
Specialized Domestic Violence Courts in Puerto Rico: Implications for Protection in Civil Cases
An afternoon of research and discussion on specialized domestic violence courts in Puerto Rico, presented by the American Constitution Society’s University of Puerto Rico Law School Student Chapter in collaboration with Pro Bono VIVID and FOS
Causal Inference for Networked and Complex Systems
This workshop seeks to highlight advances in econometrics, statistics, and machine learning that address challenges such as interference, complex dependence structures, and high‑dimensional data, thereby generating credible evidence for policy and decision‑making in practice.