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
Innovative Technology at the Interface of Finance and Operations - March 31, 2021
Christian Kroer, Nicolas E. Stier-Moses
March 8, 2021
Diverse and inclusive representation in online advertising: An exploration of the current landscape and people’s expectations
Fernanda de Lima Alcantara
JMLR - February 11, 2021
Carlos A. Gómez-Uribe, Brian Karrer
EC - December 23, 2020
Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Abinav Sankararaman, Zack Chauvin, Neil Dexter, John P. Dickerson
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At Facebook, our research teams strive to improve decision making for a business that touches the lives of billions of…