Gaining insights to deliver meaningful social interactions
Data scientists at Facebook conduct large-scale, global, quantitative research to gain deeper insights into how people interact with each other and the world around them.
Our findings directly inform decisions to improve people’s everyday experiences on Facebook, make it easier and more intuitive to use, and find ways to facilitate meaningful social interactions. Research efforts span a variety of disciplines, including computational social science, econometrics, operations research, market intelligence, survey science, and statistical computing. We employ a mixture of methods to accomplish our goals, including machine learning, field experiments, surveys, and information visualization. We also build scalable platforms for the collection, management, and analysis of data, and actively contribute our scientific findings to the academic research community.
For information about Core Data Science research at Facebook, visit the Core Data Science page.
Follow Data Science
Latest PublicationsAll Publications
ACM SIGIR - July 11, 2021
Viet Ha-Thuc, Matthew Wood, Yunli Liu, Jagadeesan Sundaresan
Operations Research Journal - July 1, 2021
Vincent Conitzer, Christian Kroer, Eric Sodomka, Nicolas E. Stier-Moses
AISTATS - April 30, 2021
Feynman Liang, Nimar Arora, Nazanin Tehrani, Yucen Li, Michael Tingley, Erik Meijer
Innovative Technology at the Interface of Finance and Operations - March 31, 2021
Christian Kroer, Nicolas E. Stier-Moses
Latest NewsAll News
Explore Data Science
Open Research AwardsView All Open Research Awards
At Facebook, our research teams strive to improve decision making for a business that touches the lives of billions of…