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.
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Latest PublicationsAll Publications
Viet Ha-Thuc, Avishek Dutta, Ren Mao, Matthew Wood, Yunli Liu
ACM SIGIR - July 25, 2020
Jeremy Rapin, Pauline Bennet, Emmanuel Centeno, Daniel Haziza, Antoine Moreau, Olivier Teytaud
Evolutionary Computation Software Systems Workshop at GECCO - July 9, 2020
Steven A. Sumner, Moira Burke, Farshad Kooti
PNAS - July 6, 2020
Fred Lin, Antonio Davoli, Imran Akbar, Sukumar Kalmanje, Leandro Silva, John Stamford, Yanai Golany, Jim Piazza, Sriram Sankar
IEEE/IFIP DSN - June 29, 2020
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