Artificial Intelligence in Management (AI)

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AI Keynotes Winter Semester 2021/2022



1 28.10.2021, 12:00-13:30 Prof. Dr. Markus Weinmann
Information Systems Area, University of Cologne
The Path of the Righteous: Using Trace Data to Understand Fraud Decisions in Real Time
2 04.11.2021, 12:00-13:30 M.Sc. Joel Persson
Technology Marketing, ETH Zurich
Off-Policy Learning of Dynamic Content Promotions
3 11.11.2021, 15:00-16:30 Dr. Ashton Anderson
Computer Science, University of Toronto
Algorithmic Effects on the Diversity of Consumption on Spotify
4 18.11.2021, 12:00-13:30 Prof. Dr. Ingo Scholtes
Machine Learning for Complex Networks, University of Würzburg
What makes teams successful? Insights from Repository Mining, Network Science, and Empirical Software Engineering
5 25.11.2021, 12:00-13:30 Dr. Gunther Gust
Information Systems Research, University of Freiburg
Using AI for Solving Complex Dynamic Pricing Problems: An Electricity Demand Response Program based on Deep Reinforcement Learning
6 02.12.2021, 12:00-13:30 Prof. Dr. Michael Scharkow
Computational Communication Science, University of Mainz
Age and Gender Representation on German TV: A Longitudinal Computational Analysis
7 09.12.2021, 12:00-13:30 Prof. Dr. Stefan Lessmann
Information Systems, Humboldt University Berlin
Training and assessing AI-models in the face of sampling bias: Evidence from retail credit scoring
8 16.12.2021, 12:00-13:30 M.Sc. Moritz von Zahn
Information Systems and Information Management, Goethe University Frankfurt
Automatic location of unfair disparities in machine learning
9 23.12.2021, 12:00-13:30 Prof. Dr. Mathias Kraus
Data Analytics, Friedrich-Alexander University Erlangen-Nuremberg
Interpretable Generalized Additive Neural Networks
10 13.01.2022, 12:00-13:30 Prof. Dr. Nicolas Pröllochs
Data Science and Digitization, University of Giessen
Community-Based Fact-Checking on Twitter
11 20.01.2022, 12:00-13:30 Dr.-Ing. Michael Vössing & Dr. Niklas Kühl
Digital Service Innovation, Karlsruhe Institute of Technology
Artificial Intelligence in Service Systems
12 27.01.2022, 16:00-17:30 Dr. Maria De-Arteaga
Information, Risk and Operation Management (McCombs School of Business), University of Texas at Austin
Mind the gap: From predictions to ML-informed decisions
13 03.02.2022, 12:00-13:30 M.Sc. Malte Toetzke
Group of Sustainability and Technology, ETH Zurich
Monitoring Global Development Aid with Machine Learning
14 10.02.2022, 12:00-13:30 Prof. Dr. Oliver Müller
Management Information Systems and Data Analytics, University of Paderborn
Using Natural Language Processing to Forecast the Impact of AI on the Labor Market

*Please note

  • We aim to provide an overview of current trends in AI research
  • The weekly sessions, on Thursdays, consist of 45-60 minutes of presentation, followed by discussion, feedback and QA


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