Core Data Science (CDS)

Advancing the frontiers of data science

About Core Data Science (CDS)

Core Data Science (CDS) is a research and development team, working to improve Facebook’s products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. Our focus is on longer-term, foundational work that addresses new opportunities and challenges across the Facebook family of apps. The work we do enhances products that enable more than 1.5 billion people to communicate with each other, every day.

Core Data Science is interdisciplinary, with expertise in computer science, statistics, machine learning, economics, political science, operations research, and sociology, among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at Facebook and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise.

Engaging with the academic community is of key importance to our research group. We publish findings, host PhD students through our internship program, collaborate with professors and PhD students, and highlight open areas of interest through our request for research proposals.

Core Data Science researchers work from the Facebook offices in Menlo Park, New York, Washington D.C., London, and Tel Aviv.

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Latest Publications

All Publications

Adherence to suicide reporting guidelines by news shared on a social networking platform

Steven A. Sumner, Moira Burke, Farshad Kooti

PNAS - July 6, 2020

When Does Trust in Online Social Groups Grow?

Shankar Iyer, Justin Cheng, Nick Brown, Xiuhua Wang

ICWSM - June 8, 2020

Don’t Let Me Be Misunderstood: Comparing Intentions and Perceptions in Online Discussions

Jonathan Chang, Justin Cheng, Cristian Danescu-Niculescu-Mizil

CHI - April 20, 2020

How Well Do People Report Time Spent on Facebook? An Evaluation of Established Survey Questions with Recommendations

Sindhu Kiranmai Ernala, Moira Burke, Alex Leavitt, Nicole Ellison

CHI - April 25, 2020