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...
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.
Erschienen: 28.03.2022
Dauer: 21:14
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...
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.
Erschienen: 14.03.2022
Dauer: 36:05
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...
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.
Erschienen: 01.03.2022
Dauer: 36:27
Weitere Informationen zur Episode "Chess, computers and game theory | with Daniel King"
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...
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).
Erschienen: 15.02.2022
Dauer: 35:41
In this episode we talk to Jamey Stegmaier, a board game designer, taking a step away from pure game theory to talk about designing board games. He explains where he gets his initial ideas for new games and what makes a great board game from his...
In this episode we talk to Jamey Stegmaier, a board game designer, taking a step away from pure game theory to talk about designing board games. He explains where he gets his initial ideas for new games and what makes a great board game from his perspective. Relating to mechanism design we discuss which mechanisms generate a good interactive game. Jamey also shares his experiences of publishing games through crowdfunding which he went through very successfully in the past. Jamey Stegmaier is a board game designer and manages the publisher Stonemaier Games. He has designed numerous games, including Viticulture, Scythe, and Tapestry.
Erschienen: 01.02.2022
Dauer: 18:56
In this episode we talk to Cailin O'Connor about inequity in society and how it can be modeled using evolutionary game theory. She explains that few conditions like the division of groups into social categories such as gender or race suffice to lead...
In this episode we talk to Cailin O'Connor about inequity in society and how it can be modeled using evolutionary game theory. She explains that few conditions like the division of groups into social categories such as gender or race suffice to lead to stable inequitable patterns which persist over time. We discuss implications when it comes to gender and the division of labour or bargaining situations and why it is so difficult to break inequitable patterns. Cailin O'Connor is professor of Logic and Philosophy of Science at UC Irvine. In her research she focusses on philosophy of biology and science, and evolutionary game theory. She is author of several books, such as "Games in the Philosophy of Biology", "The Misinformation Age: How False Beliefs Spread" and "The Origins of Unfairness: Social Categories and Cultural Evolution".
Erschienen: 18.01.2022
Dauer: 22:28
In this episode we discuss with Lionel Page, professor of Economics at UTS, his recent research on starting offers in bargaining. We start with talking about the classical ultimatum game and how studies generated a seemingly contradiction to classical...
In this episode we discuss with Lionel Page, professor of Economics at UTS, his recent research on starting offers in bargaining. We start with talking about the classical ultimatum game and how studies generated a seemingly contradiction to classical game theory. Lionel then explains how he extended the ultimatum game to understand how the value of the initial offer in a bargaining situation affects the outcome of the negotiation. Lionel Page is professor of Economics at University of Technology Sydney. In his research he focuses on Econometrics, Decision Theory, Sociology and Behavioral Economics. He studies the application to practical problems from areas of financial and prediction markets, education and inequality.
Erschienen: 04.01.2022
Dauer: 32:16
In this episode we chat with Nobel Prize laureate Eric Maskin about why mechanism design calls for an engineering approach and which tools are needed to design economic mechanisms. We discuss what separates a bad from a good mechanism and how this...
In this episode we chat with Nobel Prize laureate Eric Maskin about why mechanism design calls for an engineering approach and which tools are needed to design economic mechanisms. We discuss what separates a bad from a good mechanism and how this knowledge can help market designers, whether the goal is to reduce carbon emissions or sell spectrum rights. Eric Maskin is professor of Economics and Mathematics at Harvard University. He has made countless contributions in the fields of Game Theory and Contract Theory, among others, and received the highest recognition when he won the Nobel Prize in Economics in 2007 together with his fellow researchers Leonid Hurwicz and Roger Myerson for laying the foundation for the theory of Mechanism Design.
Erschienen: 21.12.2021
Dauer: 26:04
In this episode Michael Ostrovsky walks us through the history of online advertising auctions, from their modest beginnings at Yahoo and other internet pioneers to the lucrative business models many internet giants like Google and Amazon rely on...
In this episode Michael Ostrovsky walks us through the history of online advertising auctions, from their modest beginnings at Yahoo and other internet pioneers to the lucrative business models many internet giants like Google and Amazon rely on today. Even though online ad auctions are a story of incredible success Michael also gives some insights into which flaws existed in its early days and how these were overcome as time passed. Michael Ostrovsky is the Fred H. Merrill Professor of Economics at the Stanford Graduate School of Business and a co-founder of the company Topsort which provides auction-based advertising infrastructure for online retailers and marketplaces. Not only is he an expert in all things auction theory, but he has also experienced the rise of online auctions in person while advising various internet pioneers.
Erschienen: 07.12.2021
Dauer: 41:25
Weitere Informationen zur Episode "How auctions conquered the internet | with Michael Ostrovsky"
In this episode Paul Hünermund explains why the Nobel prize in Economics this year was given to the three researchers David Card, Joshua Angrist and Guido Imbens and what companies can learn from their research. We talk about how natural experiments...
In this episode Paul Hünermund explains why the Nobel prize in Economics this year was given to the three researchers David Card, Joshua Angrist and Guido Imbens and what companies can learn from their research. We talk about how natural experiments sparked an empirical revolution and how machine learning can help us establish causal links to find the answer to everyday questions. Paul Hünermund is assistant professor of Strategy and Innovation at Copenhagen Business School. In his research he focuses on how firms can leverage new technologies in the space of machine learning and artificial intelligence for value creation and competitive advantage. In doing so he employs a wide variety of tools from econometrics, machine learning, and the field of causal inference.
Erschienen: 23.11.2021
Dauer: 23:09
