TAP Blog

Stanford economist Matthew Gentzkow presents his findings that deactivating Facebook leaves people less informed but happier.
Stanford economist Matthew Gentzkow shares findings from research that explores how polarization has evolved during the coronavirus pandemic.
Professor Danielle Citron is the inaugural director of the LawTech Center, a new scholarly center at the University of Virginia Law School.
Next week, privacy law experts Professor Daniel Solove, George Washington University, and Professor Paul Schwartz, University of California, Berkeley, gather privacy and security professionals together for a 3-day virtual forum.
Introduction to several recent articles by TAP scholars that explore the impact of artificial intelligence technologies on the future of work, racial and gender equity, privacy, and administrative accountability.
George Washington University law professor Daniel Solove shares his conversation with Oscar Gandy about his reflections on the past 30 years of data gathering. This interview coincides with the publication of the 2nd edition of Professor Gandy’s book, The Panoptic Sort.
University of Chicago Law School professor Randy Picker discusses the key insights from four platform antitrust bills that were recently introduced to the House for consideration.
Stanford Economic Professor Nicholas Bloom shares findings from his research data about the future of working from home as COVID-19 restrictions begin to lift.
In an article written for Boston Review, MIT economics professor Daron Acemoglu examines the current impact of AI technologies and automation on the economy, society, and democracies; and provides a course of action for redirecting “AI research toward a more productive path.”
In Professor Jonathan Zittrain’s article, “The Internet is Rotting,” he explains how link rot and content drift are eroding the knowledge entrusted to the World Wide Web. And he shares some of the tools being developed to combat this content decay.
University of North Carolina School of Law professor Ifeoma Ajunwa addresses unintended bias in automated decision-making.
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