Richard Sander: Affirmative Action, Mismatch Theory, & Academic Freedom — #6

Richard Sander is Jesse Dukeminier Professor at UCLA Law School. AB Harvard, JD, PhD (Economics) Northwestern.Sander has studied the structure and effects of law school admissions policies. He coined the term "Mismatch" to describe negative consequences resulting from large admissions preferences.Topics discussed: 1. Early life: educational background and experience with race andpolitics in America. 2. Mismatch Theory: basic observation and empirical evidence; Lawschools and Colleges; Duke and UC data; data access issues. 3. CA Prop 209 and Prop 16. 4. SCOTUS and Harvard / UNC admissions case 5. Intellectual climate on campus, freedom of speech Resources: Faculty web page, includes links to publications:https://law.ucla.edu/faculty/faculty-profiles/richard-h-sander  A Conversation on the Nature, Effects, and Future of Affirmative Action in Higher Education Admissions (with Peter Arcidiacono, Thomas Espenshade, and Stacy Hawkins), University of Pennsylvania Journal of Constitutional Law 683 (2015)   https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2625668 Fifteen Questions About Prop. 16 and Prop. 209, University of Chicago Law Review Online (2020)https://lawreviewblog.uchicago.edu/2020/10/30/aa-sander/ Panel at Stanford Intellectual Diversity Conference, April 8, 2016, Stanford Law Schoolhttps://www.youtube.com/watch?v=0RZbz-lHwVM--Music used with permission from Blade Runner Blues Livestream improvisation by State Azure.--Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon. Hsu is a startup founder (SafeWeb, Genomic Prediction, Othram) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU.Please send any questions or suggestions to [email protected] or Steve on Twitter @hsu_steve. Announcing this for some friends at Mechanize - a startup that builds environments for training and evaluating frontier LLMs. Its customers include the top AI labs, and it has contributed to the breakthrough in coding capabilities of frontier models. Mechanize is hiring! https://mechanize.work/b/hsu Compensation is extremely competitive. For technical roles, $300-500k. They are also seeking smart generalists. For example: Research Engineer, Alignment: Build evals that test for misaligned model behaviors  $500K salary Puzzle Maker: Design interesting and original puzzles that LLMs can’t yet solve  $300K salary Mechanize understands that my readership is highly selected. There is a VERY GOOD CHANCE you will be interviewed if you apply via the link above.