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
PLOS ONE Journal - September 8, 2021
Brian R. Spisak, Bogdan State, Ingrid van de Leemput, Marten Scheffer, Yuwei Liu
AISTATS - August 31, 2021
Ilyes Khemakhem, Ricardo P. Monti, Robert Leech, Aapo Hyvärinen
SIGKDD - August 19, 2021
Brian Karrer, Liang Shi, Monica Bhole, Matt Goldman, Tyrone Palmer, Charlie Gelman, Mikael Konutgan, Feng Sun
SIGKDD - August 14, 2021
Clockwork: a Delay-Based Global Scheduling Framework for More Consistent Landing Times in the Data Warehouse
Martin Valdez-Vivas, Varun Sharma, Nick Stanisha, Shan Li, Luo Mi, Wei Jiang, Alex Kalinin, Josh Metzler
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