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.
Our People
Moira Burke
Data Scientist
Data Science
Eytan Bakshy
Research Manager
Data Science, Machine Learning
Lada Adamic
Data Scientist
Data Science
Shaomei Wu
Research Scientist
Data Science
Alex Dow
Research Scientist
Data Science
Pablo Barberá
Research Scientist
Data Science
Latest Publications
AISTATS - August 31, 2021
Causal Autoregressive Flows
Ilyes Khemakhem, Ricardo P. Monti, Robert Leech, Aapo Hyvärinen
SIGKDD - August 19, 2021
Network Experimentation at Scale
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
SIGKDD - August 13, 2021
Preference Amplification in Recommender Systems
Dimitris Kalimeris, Smriti Bhagat, Shankar Kalyanaraman, Udi Weinsberg
All Publications
Latest News
October 1, 2021
From intern to FTE: Four researchers share their journeys with the Facebook Core Data Science team
August 27, 2021
Facebook Fellow Spotlight: Breaking barriers for women and girls in rural India
August 18, 2021
Announcing the winners of the 2021 Statistics for Improving Insights, Models, and Decisions request for proposals
All News
Explore Data Science
Automatic Alt-Text (AAT) allows screen reader users the ability to understand the content of most images (hopefully all images soon!) in News Feed.
The reach of Facebook friendships across European cities.
Calculating three and a half degrees of separation.
Researchers explored the dynamic of jobs running in families. This network visualization shows how much more likely a child of a parent in one profession is to choose another profession vs. someone from the general population.
Example social network showing exposure to diverse information on Facebook
Visualization of popular Indian politicians and political organizations for each state and their fan following across states. Visualization inspired by mbostock’s hierarchical edge bundling.
Figure shows different cities in India and the most prominent emotion among the posts from that city as they celebrated Independence Day.
Core Data Science at Facebook
3:09 | April 23, 2020
Open Source Projects
1:36 | August 16, 2019
Social Connectedness Index
1:11 | July 1, 2019
Social Good Projects
1:24 | July 1, 2019
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