© pixabay
We, the Institute of AI in Management at LMU Munich, are excited about AI in management and the dynamic developments in this field. That is why we would like to provide first-hand insights into the latest research work, granted by high profile scientists from all over the world. We are very honoured to be able to win great guest speakers for the keynotes every semester.
All session will be available via Zoom for everyone who is interested. We aim to provide an overview of current trends in AI research. The sessions, on Thursdays, consist of 45-60 minutes of presentation, followed by discussion, feedback and QA. We are looking forward to seeing you there.
All information on dates, times, speakers and their topics, incl. Zoom links will be published on this event page when we get closer to the dates.
You are invited to sign up for our newsletter, through which we communicate all upcoming events in this series. Please follow the link to our registration page.
The series is a joint initiative, led by LMU Munich (Prof. Stefan Feuerriegel) together with co-hosts from leading national universities:
- Prof. Markus Weinmann, University of Cologne
- Prof. Stefan Lessmann, Humboldt University Berlin
- Prof. Mathias Kraus, Friedrich-Alexander University Erlangen-Nuremberg
- Prof. Niklas Kühl, University of Bayreuth
- Dr. Michael Vössing, Karlsruhe Institute of Technology
- Prof. Oliver Müller, University of Paderborn
- Prof. Nicolas Pröllochs, Justus-Liebig-University Gießen
- Prof. Christian Janiesch, TU Dortmund
- Prof. Gunther Gust, University of Würzburg
- Prof. Tobias Brandt, University of Münster
- Prof. Yash Raj Shrestha, University of Lausanne
- Prof. Burkhardt Funk, Leuphana University Lüneburg
- Prof. Nadja Klein, TU Dortmund
- Prof. Martin Spindler, University of Hamburg
- Prof. Niki Kilbertus, TU Munich
- Prof. Stefan Bauer, TU Munich
- Prof. Henner Gimpel, University of Hohenheim
- Prof. Alexander Benlian, TU Darmstadt
- Prof. Oliver Hinz, Goethe University, Frankfurt
- Prof. Ekaterina Jussupow, TU Darmstadt
- Prof. Anne-Sophie Mayer, Vrije Universiteit Amsterdam
Click below to see our past speakers and topics:
AI Keynote Series Summer Semester 2024
Thursday 13.02.2025
Speaker: Alex Luedtke, Department of Statistics, University of Washington
Presentation: TBC
Time: 10:00 CET
Language: English
Thursday, 20.03.2025
Speaker: Alejandro Schuler, Division of Biostatistics, UC Berkeley
Presentation: Free From the ATE: Defining and Estimating Policy-Relevant Causal Estimands
References: arXiv:2302.07976 arXiv:2305.01849 arXiv:2405.07109
Time: 16:00 CET
Language: English
Past Keynote
Thursday 09.01.2025
Guest Speaker: Chengchun Shi, Department of Statistics, London School of Economics and Political Science
Presentation: Experimental Designs for A/B Testing in Marketplaces
Reference: https://arxiv.org/pdf/2408.05342
Language: English
Thursday 12.12.2024
Guest Speaker: Mats Julius Stensrud, Chair of Biostatistics, Swiss Federal Institute of Technology Lausanne
Presentation: On Optimal Treatment Regimes Assisted by Algorithms
Abstract: Decision makers desire to implement decision rules that, when applied to individuals in the population of interest, yield the best possible outcomes. For example, the current focus on precision medicine reflects the search for individualized treatment decisions, adapted to a patient's characteristics. In this presentation, the speaker will consider how to formulate, choose and estimate effects that guide individualized treatment decisions. In particular, he will introduce a class of regimes that are guaranteed to outperform conventional optimal regimes in settings with unmeasured confounding. He will further consider how to identify or bound these "superoptimal" regimes and their values. The performance of the superoptimal regimes will be illustrated in two examples from medicine and economics.
Language: English
Thursday 28.11.2024
Guest Speaker: Manoel Horta Ribeiro, Department of Computer Science, Princeton University (incoming)
Presentation: Content Curation in Online Platforms
Abstract: Online platforms like Facebook, Wikipedia, Amazon, and Linkedin are embedded in the very fabric of our society. They “curate content”, moderate, recommend, and monetize it, and, in doing so, can impact people’s lives positively or negatively. In this talk, the sepaker will highlight the need to go beyond how these curation practices are currently designed and tested. He will argue that academic research can and should guide policy and best practices by discussing two projects he worked on during his doctorate. In the first project, the speaker will describe a large natural experiment on Facebook that allowed measuring the causal effect of removing rule-breaking comments on users’ subsequent behavior. In the second project, he will present results on the efficacy of “deplatforming” Parler, a large social media website, on its users’ information diets. Finally, the speaker will discuss future research directions on improving online platforms, emphasizing the opportunities and challenges posed by the popularization of generative AI. Altogether, the work of the speaker indicates that we can improve online platforms—and, by extension, our lives—if we rigorously investigate the causal effect of content curation practices.
Bio: Manoel Horta Ribeiro is an incoming Assistant Professor of Computer Science at Princeton. Previously, he received a PhD in CS from EPFL in Switzerland and an MSc/BSc in CS from UFMG in Brazil. His research focuses on understanding the impact of content moderation, recommender systems, and monetization in online platforms from a computational perspective. His work has been covered in outlets from El País to NBC News, in think tanks like the ICCT, and has shaped products in companies like Meta and Reddit. He is a Meta Computational Social Science Fellow, a Forbes 30 under 30 awardee, and has received awards for his teaching (from EPFL) and his research (from ACM conferences and Altmetrics).
Language: English