Data Science

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 Publications

All Publications

NeurIPS - December 6, 2021

Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement

Samuel Daulton, Maximilian Balandat, Eytan Bakshy

Journal of Big Data - November 6, 2021

A graphical method of cumulative differences between two subpopulations

Mark Tygert

CODE - November 5, 2021

Regression Adjustment with Synthetic Controls in Online Experiments

Congshan Zhang, Dominic Coey, Matt Goldman, Brian Karrer

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

Careers at Facebook Research
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