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.
Latest PublicationsAll Publications
NeurIPS - December 6, 2021
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
Journal of Big Data - November 6, 2021
CODE - November 5, 2021
Congshan Zhang, Dominic Coey, Matt Goldman, Brian Karrer
arXiv - October 28, 2021
Jingang Miao, Yiming Paul Li
Latest NewsAll News
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