Another successful post-walking boot run at a longer distance, more talks for my #AcademicRunPlaylist! (1/11)
Stanford Psychology Podcast - 100 - Paul Bloom: The Psychology of Everything

Eric chats with Paul Bloom, Professor of Psychology at the University of Toronto. He is the author of seven books, including his latest “Psych: The Story of the Human Mind.” Countless people around the world have been introduced to psychology through his online courses “Introduction to Psychology” and “Moralities of Everyday Life.” In this chat, Eric and Paul discuss to what extent knowing about psychology actually helps us navigate everyday life with other people. Should psychology students still learn about Freud? Why would Paul never write a psychology textbook? Why is he writing a next book on perversity and something called “reactance?” How did he manage to become a successful professor while researching such a diverse range of topics? How to use Twitter without becoming a troll? Finally, Paul faces some surprisingly tough questions generated by ChatGPT. *JOIN OUR SUBSTACK!* Stay up to date with the pod and become part of the ever-growing community :) https://stanfordpsypod.substack.com/ *If you found this episode interesting at all, consider leaving us a good rating! It just takes a second but will allow us to reach more people and make them excited about psychology.* *Links:* Paul's latest book Psych Paul's online classes Paul's website Eric's website Eric's Twitter @EricNeumannPsy Podcast Twitter @StanfordPsyPod Podcast Substack https://stanfordpsypod.substack.com/ Let us know what you think of this episode, or of the podcast! :) [email protected]

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Next was an intriguing talk by @mariadearteaga on worker interactions with #ML prediction systems at #NokiaBellLabs. This is another study of the child welfare department in Allegheny County, which is quickly becoming the go-to dataset for folks studying prediction #algorithms in real organizations https://www.youtube.com/watch?v=XTS4ATjONfc&t=9s (3/11)
Mind the gap: From predictions to ML-informed decisions

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Next was a blistering discussion on structural #injustice and workers' rights (@vmantouvalou's new book) at Oxford Law with Shrey Atrey, Maayan Niezna, Manoj Dias-Abey, Bridget Anderson, Samantha Currie, and Emily Kenway https://www.youtube.com/watch?v=comBro3uHzI (4/11) #migrants
Book Launch: Structural Injustice and Workers’ Rights

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Next was an incredible talk by Philip McCann on the causes of #UK regional productivity disparities at the Alliance Manchester Business School. This has profound lessons for how to approach economic policy for the UK and beyond, focusing on the importance of spatial data. Highly recommend https://www.youtube.com/watch?v=WW9oirCuwgY (5/11) #economics
UK Regional Productivity Disparities: Causes, Capital Markets and Consequences. Original Thinking…

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Next was a fantastic slate of talks on modeling cultural evolution at the University of Michigan with Stefani Crabtree, Anna Prentiss, Dietrich Stout, and Melinda Zeder. I highly recommend the whole session, and I particularly liked the talks by Prentiss and Stout https://www.youtube.com/watch?v=-G1xn4PTrFc (6/11) #archaeology #culture
Session Three: Dual Inheritance and Quantitative Modeling Cultural Evolution Evolves

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Next was a nice panel on the implications of #diversity and #inclusion for performance improvement and a preview of upcoming research in the space at the #LSE with Claire Crawford, Belton Flournoy III, Aliya Hamid Rao, and Daniel Jolles https://www.youtube.com/watch?v=6q03AWEFGBY (7/11) #DEI
The Productivity Puzzle: can diversity and inclusion unlock the key to growth? | LSE Event

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Next was an interesting talk by Doug Baird farming practices in Neolithic communities at the University of Chicago https://www.youtube.com/watch?v=b0M7ORspKG0 (8/11) #archaeology
Skulls and Animate Houses: The Development of Sedentism and Agriculture in Central Anatolia

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Next was an enjoyable talk by Anca Dragan on #robotics algorithms that take people into account at #Stanford. Dragan introduces key principles in human-robot interaction in general and shows impressive methods for learning models of human behavior. Highly recommend https://www.youtube.com/watch?v=W5C4_pjeOmQ&t=1s (9/11) #HRI
Stanford Seminar - Robotics algorithms that take people into account

February 17, 2023Anca Dragan of UC Berkeley I discovered AI by reading “Artificial Intelligence: A Modern Approach” (AIMA). What drew me in was the concept t...

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Next was a timely talk by Andrew Baum and Sabina Reeves on the state of #RealEstate re-pricing at the Saïd Business School. It's certainly an interesting time to be in real estate, and this is a great quantitative look into where the market is going https://www.youtube.com/watch?v=2zKJwzucEuM (10/11) #economics #cities
Oxford Real Estate Webinar - Real estate re-pricing - How bad is it?

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Last was a great talk by @nicolaspapernot on the role of randomization in trustworthy #MachineLearning at the University of #Toronto. Papernot reviews a few classes of ML approaches and shows how randomization can often have the dual benefit of protecting #privacy and improving robustness https://www.youtube.com/watch?v=GvmxP7PjP5E (11/11)
The Role of Randomization in Trustworthy Machine Learning

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@bwaber Thanks very much for sharing this. I hadn't seen it.