Introducing the Researcher Platform: Empowering independent research analyzing large-scale data from Meta
Today, FORT shares Meta platform data with researchers around the world in a privacy-protective environment. Our focus has been on supporting computational social scientists who apply computational approaches to large-scale human behavioral data in order to study and explain social phenomena.Read More
interview-with Nick Vamivakas, professor at Rochester University and Facebook academic collaborator
In this Q&A, Vamivakas shares more about his research background, recent projects, the start of his collaboration with Facebook, his research interests, and his collaboration with Meta.Read More
Q&A with Nick Vamivakas, professor at Rochester University and Facebook academic collaborator
In this Q&A, Vamivakas shares more about his research background, recent projects, the start of his collaboration with Facebook, his research interests, and his collaboration with Meta.Read More
Making our displacement maps more representative
Meta Data for Good announces a new re-weighted version of displacement maps that aims to better represent displacement trends on the ground.Read More
Measuring social capital in Facebook Groups
In a recent paper, Meta researchers propose that diversity in social capital can be facilitated by connecting in Facebook Groups and offer a few ways to measure that diversity.Read More
Announcing the winners of the Mathematical Modeling and Optimization for Large-Scale Distributed Systems request for proposals
Meta announces the winners of the Mathematical modeling and optimization for large-scale distributed systems request for proposalsRead More
Four Core Data Science researchers discuss opportunities for academics at Meta
Meta’s Core Data Science team discusses opportunities for academics at Meta such as full-time employment, temporary employment, and dual affiliation.Read More