Jonathan Levin, Dean of the Stanford Graduate School of Business, talks about his work on a life-saving economic mechanism to promote vaccines, and the challenges of preparing leaders for the fast-changing future.
Professor Mary Gray, Senior Researcher at Microsoft Research, expresses reservations about the effectiveness and equity of a cell phone app aimed to put COVID-19 contact tracing in individuals’ hands.
Professor Erik Brynjolfsson, Director of the MIT Initiative on the Digital Economy, discusses the impact of rapid technological change and public policy with James Pethokoukis on AEI’s Political Economy podcast.
Stanford economist Nicholas Bloom discusses how the current global ‘working remotely’ movement caused by COVID-19 restrictions differs from the benefits he identified in his work-from-home research conducted in 2015.
Competing in the Age of AI, a new book by Harvard business professors Marco Iansiti and Karim R. Lakhani, shows how reinventing organizations around data, analytics, and artificial intelligence (AI) removes traditional constraints that restrict business growth.
TAP scholars danah boyd, Eric Goldman, Evan Selinger, and Joseph Turow share their expertise with a recent Pew Research Center report aimed at learning the potential future effects of people’s use of technology on democracy.
Joshua Gans, Rotman School of Management, introduces his new book, co-authored with Andrew Leigh. Innovation + Equality: How to create a future that is more Star Trek than Terminator examines the relationship between having more equality and more innovation.
Harvard business professor Shane Greenstein discusses some of the factors that machine-learning startups consider in developing their innovative products for commercial value.
In “A Toolkit of Policies to Promote Innovation,” Professors Nicholas Bloom, John Van Reenen, and Heidi Williams present a number of the main innovation policy levers to energize technological innovation.
In the latest issue of The Toulouse School of Economics Magazine, Stanford economist Susan Athey discusses how machine learning is transforming economics.