Economics & Computation

Exploring the intersection of economics and computation

We seek to provide strategic and operational insights using mathematical and computational tools from the areas of game theory, optimization, operations management and econometrics.

Our researchers conduct theoretical and applied research that helps us improve the design of mechanisms used to auction ads, optimize network infrastructure usage and processing power, improve processes such as procurement, hiring, and quality control, and understand the underlying processes, behaviors or incentives that align with real-world observations.

For information about Core Data Science research at Facebook, visit the Core Data Science page.

“What excites me the most about my job is that Facebook research combines cutting-edge research methodology with global scale applied impact.” Nicolas Stier, Research Scientist and Engineering Manager

Latest Publications

All Publications

EC - December 23, 2020

Matching Algorithms for Blood Donation

Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Abinav Sankararaman, Zack Chauvin, Neil Dexter, John P. Dickerson

NeurIPS - December 16, 2020

Online Bayesian Persuasion

Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti

WINE - December 7, 2020

The Ad Types Problem

Riccardo Colini Baldeschi, Julian Mestre, Okke Schrijvers, Christopher A. Wilkens

arXiv - October 9, 2020

Weights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook

Neta Barkay, Curtiss Cobb, Roee Eilat, Tal Galili, Daniel Haimovich, Sarah LaRocca, Katherine Morris, Tal Sarig

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