Agenda

Bayerischer Rundfunk, Rundfunkplatz 1, 80335 Munich

2:00PM

Welcome & Opening Remarks

Lisa Schmierer, PhD Student at Social Data Science & AI Lab (LMU)

2:10PM

Supporting Socially Disadvantaged Children with AI

Enkelejda Kasneci, Distinguished Professor for Human-Centered Technologies for Learning at TUM’s SOT and CIT

2:30PM

AI & Mental Health: Promise, Pitfalls, and Participatory Paths

Auxane Boch, Doctoral Researcher at the Institute for Ethics in Artificial Intelligence (IEAI) at TUM

2:50PM

Not sure tbh - The Need for Uncertainty in Machine Learning

Lisa Wimmer, PhD student in the Statistical Learning & Data Science working group at LMU Munich

3:10PM

Networking Activity

3:40PM

Panel 1: When Evidence Meets Opposition: Navigating the New Normal

Panel Moderator

Lisa Schmierer, PhD Student at Social Data Science & AI Lab (LMU)

Panelists

Frauke Kreuter, Chair of Social Data Science and AI Lab at LMU Munich, Germany and at the University of Maryland, USA

Annamaria Fabian, postdoctoral researcher in German Linguistics at the University of Bayreuth

Rebecca Ciecielski, Reporter specializing in algorithmic accountability reporting at the AI + Automation Lab of Bayerischer Rundfunk

4:10PM

Patterns and politics – how to do investigative journalism with data

Julia Barthel, Data and investigative journalist for BR Data/BR Recherche

4:30PM

Networking Activity

5:10PM

Panel 2: Entering the workplace/Career transitions

Panel Moderator

Lisa Schmierer, PhD Student at Social Data Science & AI Lab (LMU)

Panelists

Lena Reißinger, Master's student for Statistics and Data Science at LMU Munich; Dual student at Munich Re

Polina Galkin, Senior Data Scientist, SAP

Hillary Hauger, Master’s student of Mathematics in Data science at the Technical University of Munich

Marie Piraud, Head of the AI consultant team at Helmholtz AI, Helmholtz Munich

5:50PM

Closing Remarks & Thanks

from 6:00PM

Open Space for Socializing & Networking

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