In this episode, Jason Thompson explains how Game Theory can help understand interactions on the roads and in traffic. We discuss agent-based-modelling and its application to analysing the behaviour of road users in traffic intersection. Jason gives examples on ‘different games’ at traffic intersections and compares the game induced by traffic regulations with the one originating from varying powers of the road users (e.g. truck vs cyclist).

We also discuss how such interactions will change with the introduction and increase of autonomously driving vehicles.

Jason Thompson is associate professor at University of Melbourne School of Design and School of Medicine. His interest, among other, is focused on the translation of research into practice across the areas of transportation, heavy-vehicle safety, and health system design.

In this episode, Martin Schmalz explains what machine learning has to do with economics and game theory and its relationship to common ownership. He gives some practical examples for game theoretic situations in which machine learning is already used, and shows where potential benefits and risk for consumers might lie.

In addition, we discuss the topic of common ownership – another one of Martins’ fields of research, i.e. situations in which individuals or groups simultaneously hold shares of competing companies in a market sector. According to Martin, this phenomenon occurs much more often than you might think. He explains its effect on competition and we discuss its potential for collusive market behaviour.

Martin Schmalz is professor of Finance and Economics at the University of Oxford Saïd Business School and co-author of the book ‘The Business of Big Data’.

His research interests, among others, are in the areas of financial economics, artificial intelligence and machine learning.

Playing nice – Trust and reputation in Game Theory, eCommerce and vaccinations | with Steve Tadelis

In this episode we talk to Steve Tadelis about reputation and trust. He explains how he first got into the topic, what reputation means in the context of Game Theory and how even leaving no review at all could signal reputation on platforms like ebay. He also shows how powerful reputation and trust can be beyond the business context, e.g. when increasing vaccination rates with the help of Donald Trump.

Steve Tadelis is professor of economics, business and public policy at UC Berkeley. His research interests include the economics of eCommerce and incentives & organisations. On top of his academic experience he has worked as senior economist at Amazon and eBay.

In the episode, Steve mentions the following papers:

• Rational cooperation in the finitely repeated prisoners’ dilemma, by David Kreps, Paul Milgrom, John Roberts and Robert Wilson
• Using Donald Trump’s COVID-19 Vaccine Endorsement to Give Public Health a Shot in the Arm: A Large-Scale Ad Experiment, by Bradley Larsen, Marc J. Hetherington, Steven H. Greene, Timothy J. Ryan, Rahsaan D. Maxwell & Steven Tadelis

In this episode, we discuss with Nick Arnosti the economic aspects of lotteries. Nick explains in which sense lotteries are a relevant economic mechanism, and gives some examples of where and why they are used. We focus in particular on the use of lotteries in the allocation of affordable housing in New York.

Nick Arnosti is assistant professor at the University of Minnesota. His research is focussed on systems for allocating public resources.

During the interview, Nick mentions a paper which compares lotteries and waiting lists; this paper can be found here.

In this episode we are talking to Economics Professor Eyal Winter, who works as both an academic researcher and as a consultant who supports his clients in various auction settings. We discuss how consulting differs from theoretical research, and how to best behave in an auction setting. Eyal also shows how emotions can sometimes strongly influence people’s behaviour in auctions.

Eyal Winter is the Silverzweig professor of economics at the Hebrew University and the Andrews & Brunner professor at Lancaster University. His research interests are broadly spread, ranging from Behavioural Economics to Decision Making, Game Theory and Finance. He is also the author of the book “Feeling Smart – Why Our Emotions Are More Rational Than We Think”, in which he explores the use and logic in emotions.

During the interview, Eyal mentions a spectrum auction in New Zealand, which yielded a very disappointing outcome for the New Zealand government. More information on this auction can be found e.g. here and here.

In this episode we are talking to Carlotta Pilgram, Consultant at TWS Partners and Economics graduate from Lund University in Sweden. We discuss the role of Game Theory in analysing the gender pay gap, the current state of research, why many intuitive explanations have little explanatory power and what measures can be taken to reduce payment differences which can be traced back to gender.

Carlotta Pilgram works as a Consultant at TWS Partners. Previously she has studied Economics at Lund University in Sweden, focusing on gender Economics and in particular payment inequality. She finished her Master’s degree with her thesis entitled “Are Women leaving their Jobs before they are actually leaving”, where she analysed potential economic causes for the gender pay gap.

During the interview, Carlotta refers to a study by Marianne Bertrand et. al. from 2010, which can be found here.

In this episode we are talking to Hannah Rubin about policy making, incentive structures and Game Theory in the world of sciences. Together we dig into why policies set up with the best intentions can backfire when existing incentive structures are not taken into account, e.g. when it comes to the goal of increasing diversity in grant applications, and how these policies could be improved. We discuss more generally what it takes to break out of existing structures in sciences such as e.g. the so called “peer-review-system”.

Hannah Rubin works as an Assistant Professor at the University of Notre Dame, Indiana. She is an Evolutionary Game Theorist, Philosopher of Biology and Philosopher of Science. In her research she uses game theory to understand how social structures come to be and how they evolve over time.

In this episode, we talk to Peter Cramton about the electricity market. We discuss the 2021 Texas electricity crisis that left millions of Texans without electricity for four extremely cold days. Peter explains how understanding the crisis is important for markets everywhere. He shares with us that a reliable gas supply is essential for resilient electricity and Europe must reduce its dependence on Russian gas.

Peter Cramton is Professor of Economics at the University of Cologne and the University of Maryland. His research is focused on auctions and market design. Applications include communications, electricity, and financial markets. His innovative market designs are seen worldwide.

The game of chess has been around for centuries and still hasn’t lost its touch which is demonstrated by the sheer number of professional and non-professional players and countless pop culture references. In this episode chess grandmaster Daniel King walks us through his very own journey from being a professional chess player to becoming author, live commentator and YouTuber and what it takes to come up with the perfect strategy. We talk about why chess theoretically can be solved but still hasn’t lost its appeal as one of the most popular board games in history and how professional players’ strategies have evolved due to the rise of powerful computers and machine learning.

Daniel King is known for being an English chess grandmaster, a well-known chess live commentator, an award-winning author of several books, a freelance journalist and many more. On top of that he has his own YouTube channel called PowerPlayChess where he shares knowledge and passion for all things chess.

In this episode we talk to Paul Smaldino about identity signaling. He walks us through its definition, the most common examples of identity signaling like language or fashion choices and how game theory can be used to model it. He explains why it is sometimes wise to signal covertly rather than overtly, how this depends on the heterogeneity of groups and what experimental evidence from Twitter has to say about all this.

Paul Smaldino is associate professor of cognitive and information sciences at UC Merced. His research interests include social and cultural evolution, cooperation, communication, and the philosophy of sciences. He studies the feedback between individual behaviors and the sociocultural environments in which they are situated, using both empirical studies and theoretical models (e.g. Game Theory models).