Artificial Intelligence in Management (AI)
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AI Keynotes Summer Semester 2022

Newsletter

We are distributing information about dates, topics and speakers through a weekly newsletter, which is open for subscription.

Events*

Please join the sessions via Zoom.

#DateSpeakerTopicCalendar
1 05.05.2022, 12:00-13:30 Nicolas Banholzer, ETH Zurich Modeling the effects of non-pharmaceutical interventions during the COVID-19 pandemic iCal/.ics item
2 12.05.2022, 18:30-20:00 Prof. Tim Althoff, University of Washington
Human-AI Collaboration Enables More Empathic Conversations in Mental Health Support iCal/.ics item
3 19.05.2022, 12:00-13:30 Prof. Robert West, École Polytechnique Fédérale de Lausanne United States Politicians' Tone Became More Negative with 2016 Primary Campaigns iCal/.ics item
4 02.06.2022, 16:00-17:30 Prof. Daniel Neill, New York University Machine Learning and Event Detection for Urban Public Health iCal/.ics item
5 09.06.2022, 12:00-13:30
session cancelled and postponed to winter semester
Ioana Bica, University of Oxford From Longitudinal Patient Observational Data to Personalised Treatment Effects Using Causal Inference iCal/.ics item
6 23.06.2022, 16:00-17:30 Prof. Nathan Kallus, Cornell University Smooth Contextual Bandits
iCal/.ics item
7 30.06.2022, 12:00-13:30 Tobias Hatt, ETH Zurich

Daniel Tschernutter, ETH Zurich
Personalized Medicine using Real-World Data: A Causal Machine Learning Approach

Advances in Data-Driven Decision-Making: A Mathematical Optimization Perspective
iCal/.ics item
8 07.07.2022, 12:00-13:30 Prof. Damian Borth, Universität St. Gallen tbd
9 14.07.2022, 18:00-19:30 Prof. Hamsa Bastani, Wharton, University of Pennsylvania tbd
10 21.07.2022, 12:00-13:30 Prof. Sebastian Gabel, Rotterdam School of Management tbd
11 28.07.2022, 16:00-17:30 Prof. Maytal Saar-Tsechansky, McCombs, University of Texas at Austin tbd

*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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