The Privacy Confusion First Thoughts on Clearer Thinking

Speaker: Lawrence Lessig, JD, at Harvard Law School

Date: March 1, 2021 at 4:00PM - 5:30PM

Privacy has become a central focus of policy debates in every context. In this talk, Lessig argues that we’re conceiving of the problem in a fundamentally flawed way. Offered is a different framework, radically different but critically better. Or so it is hoped.

Lawrence Lessig is the Roy L. Furman Professor of Law and Leadership at Harvard Law School. Prior to returning to Harvard, he taught at Stanford Law School, where he founded the Center for Internet and Society, and at the University of Chicago. He clerked for Judge Richard Posner on the 7th Circuit Court of Appeals and Justice Antonin Scalia on the United States Supreme Court.Lessig is the founder of Equal Citizens and a founding board member of Creative Commons, and serves on the Scientific Board of AXA Research Fund. A member of the American Academy of Arts and Sciences and the American Philosophical Society, he has received numerous awards including a Webby, the Free Software Foundation's Freedom Award, Scientific American 50 Award, and Fastcase 50 Award Cited by The New Yorker as “the most important thinker on intellectual property in the Internet era,” Lessig has focused much of his career on law and technology, especially as it affects copyright. His current work addresses “institutional corruption”—relationships which, while legal, weaken public trust in an institution—especially as that affects democracy. 


Publications

Beinvogl B, Palmer N, Kohane I, Nurko S. Healthcare spending and utilization for pediatric Irritable Bowel Syndrome in a commercially insured population. Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society 2021.

Wang AL, Panganiban R, Qiu W, Kho AT, Chupp G, Meyers DA, Bleecker ER, Weiss ST, Lu Q, Tantisira KG. Drug Repurposing to Treat Glucocorticoid Resistance in Asthma. Journal of personalized medicine 2021.

Beaulieu-Jones BK, Yuan W, Brat GA, Beam AL, Weber G, Ruffin M, Kohane IS. Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians? NPJ digital medicine 2021.

Maharaj AS, Parker J, Hopkins JP, Gournis E, Bogoch II, Rader B, Astley CM, Ivers N, Hawkins JB, VanStone N, Tuite AR, Fisman DN, Brownstein JS, Lapointe-Shaw L. The effect of seasonal respiratory virus transmission on syndromic surveillance for COVID-19 in Ontario, Canada. The Lancet. Infectious diseases 2021.