#AcademicRunPlaylist - 3/25/24

It was a chilly one in Boston, but I was still able to go on a nice run while listening to talks for my #AcademicRunPlaylist!

My YouTube playlist for the last ~1.5 years can also be found in its entirety here, and is updated daily: https://youtube.com/playlist?list=PL5FQGISvWBK3gNFqx2eboI8etItUC2MFW&si=R-MePQpkc_85eVl2

First was an interesting talk by Malte J. on teamwork with robots at the SONIC Research Group https://www.youtube.com/watch?v=28exuyCwWSk

Next was an excellent talk by Hatim A. Rahman on reputational interdependence on online labor markets at SONIC. Rahman authored one of my favorite papers of the last decade (https://journals.sagepub.com/doi/pdf/10.1177/00018392211010118), and this talk also goes deep into his research on the issues with how current gig work platforms are designed, particularly the issues for workers just starting out and also those who want to showcase new skills. Highly recommend https://www.youtube.com/watch?v=X4oXtSch5Kg

Next was an intriguing talk by Paul Sajda on using physiological sensing inputs for HCI at SONIC https://www.youtube.com/watch?v=f1NmnlRWGnA&t=5s

Next was an incredible talk by Melissa Valentine on how experts gain new skills during algorithm development and use at SONIC. I absolutely love this work, which goes into amazing detail on how data scientists and fashion experts collaborated to develop new systems and skills to combine the best of quantitative and qualitative approaches in a data informed organization. Highly recommend https://www.youtube.com/watch?v=ZcAuGgdPqNA

Next was a fantastic talk by Mary Beth Watson-Manheim on human-digital configuration work and implications at SONIC. Watson-Manheim methodically lays out why the task level is the wrong way to think about the effects of technology and automation, and instead indicates the systemic changes that emerge when organizations start to inject technology into workflows. Highly recommend https://www.youtube.com/watch?v=qAVGZHRh_JM&t=2s

Next was a great conversation with J. Nathan Matias (👋) on bridging adaptive algorithms and the public good at CASBS at Stanford. Nate clearly lays out the issues with looking only at the average effects of technology, the need for external accountability for tech platforms, and more. Highly recommend https://www.youtube.com/watch?v=yTeDqKWmReE

Next was a thought-provoking talk by Anna Mahtani on the challenges with moving from probabilities to decisions at the LSE https://www.youtube.com/watch?v=BpNe_ewCJVk

Next was a nice talk by Vincent Pons and Ben Marx on the most pressing questions in political economy and development at Harvard's Center for International Development https://www.youtube.com/watch?v=F6FpcHEynd8

Next was a wide-ranging talk by Song Han on building big and small generative models at the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) https://www.youtube.com/watch?v=jpmRI5GxDAc

Last was an engaging conversation with Mazviita Chirimuuta on the need to keep in mind that brain and cognitive models are simplified abstractions and the implications for science and beyond on the Brain Inspired podcast https://www.youtube.com/watch?v=NwNHW4otoJQ