Scientific Understanding and Deep Neural Networks

Workshop: Machine Learning meets Scientific Understanding

Date: 26.06.25, 27.06.25

Place: TU Dortmund University, Internationales Begegnungszentrum

Poster

Machine Learning meets Scientific Understanding

The Emmy Noether group UDNN: Scientific Understanding and Deep Neural Networks is pleased to announce its upcoming workshop Machine Learning Meets Scientific Understanding, which will take place on June 26^th and 27^th at TU Dortmund University. This interdisciplinary event seeks to bring together philosophers of science and machine learning (ML), as well as ML practitioners, to explore the intersections between ML and scientific understanding. 

Confirmed speakers 

• Cameron Buckner, Philosophy, University of Florida 

• Heather Champion, Philosophy, Tübingen University

• Edward Chang, Computer Science, Stanford University 

• Finnur Dellsén, Philosophy, University of Iceland 

• Henk W. de Regt, Philosophy, Radboud University

• Timo Freiesleben, Philosophy, Tübingen University

• Giovanni Galli, Philosophy, University of Teramo

• Insa Lawler, Philosophy, UNC Greensboro 

• Holger Lyre, Philosophy, Magdeburg University 

• Daniel Neider, Computer Science, TU Dortmund University 

• Sara Pernille Jensen, Philosophy, Oslo University

• Darrell P. Rowbottom, Philosophy, Lingnan University Hong Kong 

• Eugene Shalugin, Philosophy, Radboud University

• Emily Sullivan, Philosophy, Utrecht University 

For inquiries, please contact the organizing committee at udnn.ht@tu-dortmund.de. 

Main Organizers: Annika Schuster, Frauke Stoll, and Florian J. Boge