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. They also conduct research involving economic opportunity, including research to improve our products and for social good.

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

ISAAC - December 5, 2021

On the Extended TSP Problem

Julián Mestre, Sergey Pupyrev, Seeun William Umboh

Management Science (journal) - September 30, 2021

Pacing Equilibrium in First Price Auction Markets

Vincent Conitzer, Christian Kroer, Debmalya Panigrahi, Okke Schrijvers, Nicolas Stier, Eric Sodomka, Christopher A. Wilkens

Journal of Big Data - July 19, 2021

Cumulative deviation of a subpopulation from the full population

Mark Tygert

ArXiv/SSRN - July 1, 2021

Social Connectedness in Urban Areas

Michael Bailey, Patrick Farrell, Theresa Kuchler, Johannes Stroebel

Careers at Facebook Research
Want to solve some of the most challenging technology problems?