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Andrew Guthrie Ferguson

Andrew Guthrie Ferguson

Andrew Guthrie Ferguson is a Professor of Law at the UDC David A. Clarke School of Law. Professor Ferguson teaches and writes about the intersection of technology and the criminal justice system. He is the author of The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement (NYU Press 2017) and a national expert on predictive policing and the Fourth Amendment. His legal commentary has been featured in numerous media outlets, including CNN, NPR, The New York Times, The Economist, the Washington Post, USA Today, the ABA Journal, The Atlantic (digital), The Huffington Post, and other national and international newspapers, magazines, and media sites. Professor Ferguson has been voted “Professor of the Year” three times. In 2016, he received a University-wide Certificate of Commendation for his teaching and service. Professor Ferguson recently co-authored the law professors’ amicus brief to the Supreme Court on behalf of the Petitioner in Carpenter v. U.S., involving the warrantless collection of cell-site tracking data. Prior to joining the law faculty, Professor Ferguson worked as a supervising attorney at the Public Defender Service for the District of Columbia. He is a graduate of the University of Pennsylvania Law School (summa cum laude) and has a L.L.M. (Masters in Advocacy) from Georgetown Law Center. Professor Ferguson’s first book Why Jury Duty Matters: A Citizen’s Guide to Constitutional Action (NYU Press) is the first book written for jurors on jury duty. (Book Review). He stars in the “Welcome To Jury Duty Video” in D.C. Superior Court seen by more than 30,000 DC citizens annually.

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Guest Appearances
May 6, 2020

Insider’s guide to succeeding in law school

Andrew Guthrie Ferguson and Jonathan Yusef Newton share their thoughts on how distance learning during the COVID-19 pandemic will impact the experience of law school.

November 15, 2017

Will big data tools make policing less biased–or violate people’s rights?

Andrew Guthrie Ferguson discusses data-driven surveillance technology, how it can be used and misused, and how implicit bias can taint results.