In the seventh interview of the series we are joined by five amazing experts from the Mechanism Design for Social Good (MD4SG) community: Jessie Finocchiaro (CU Boulder), Sera Linardi (University of Pittsburgh), Faidra Monachou (Stanford University), Ana-Andreea Stoica (Columbia University), and Lily Xu (Harvard). Together we explore how you can apply mechanism design and machine-learning in economics and other disciplines to create markets that optimize social welfare. We’ll also explore some difficulties which economists and computer-scientists working on this topic have in-common, such as how to use assumptions as perfect rationality. Similar to almost all interviews, we also discuss the importance of interdisciplinary working. This interview gives you a good overview of how to get started as an economist to apply mechanism design and machine-learning to make a difference in the world!
Podden och tillhörande omslagsbild på den här sidan tillhör Rethinking Economics NL. Innehållet i podden är skapat av Rethinking Economics NL och inte av, eller tillsammans med, Poddtoppen.
