Bern Data Science Day 2026

The Data Science Lab (DSL) and the Bern Data Science Initiative (BeDSI), in collaboration with the Digitalization Committee (DigiK), invites you to the 5th Bern Data Science Day. This event brings together researchers from all faculties of the University of Bern and data enthusiasts for a unique conference on Data Science. It provides a platform for colleagues across various disciplines to network and exchange ideas on emerging trends and research developments in data-driven science.

The program features keynote talks, presentations of projects funded by the University's Digitalization Commission DigiK, and interactive poster sessions designed to foster networking and collaboration. All researchers are invited to submit a poster related to data processing aspects of their work. Abstracts will be reviewed by the scientific committee for selection poster presentations. Winning contributions, determined by vote, will receive prizes from our sponsors.

When and where

2026-05-08 at UniS, University of Bern, Schanzeneckstrasse 1, CH-3012 Bern, Switzerland

Registration (no participation fee)

 

Poster submission deadline: 1 April 2026

After registration, all poster submitters will receive a separate link through which the poster can be uploaded.

Program (work in progress)

08:30 - 09:00 Foyer Registration & Welcome Coffee
09:00 - 09:10 S003 Opening Remarks 
09:10 - 10:00 S003 Keynote 1
10:00 - 10:20 Foyer Coffee Break
10:20 - 11:40 S003 Presentations 1-4
11:45 - 12:30 Foyer
A019
A017
A015		 Poster Sessions and stands visit
12:30 - 13:30   Lunch time
13:30 - 14:20 Foyer
A019
A017
A015		 Poster Sessions and stands visit
14:20 - 15:50 S003 Presentations 5-8
15:50 - 16:00 Foyer Coffee Break
16:00 - 16:50 S003 Keynote 2
16:50 - 17:00 S003 Poster Winners Announcement and Closing Remarks
17:00-18:00 Foyer Apéro

Organizational Contact

MSc. Ninoska Friedli (DSL/BeDSI)

Scientific Committee

  • TBC (VETSUISSE)
  • Dr. Anina Schwarzenbach (Faculty of Law)
  • PD Dr. Katja Schlegel (Faculty of Human Sciences)
  • Prof. Dr. Mauricio Reyes (Faculty of Medicine)
  • Prof. Dr. David Ginsbourger (Faculty of Science)
  • PD Dr. Sigve Haug (Data Science Lab)
  • Prof. Dr. Tobias Hodel (Faculty of Humanities)
  • Prof. Dr. Costanza Nagui (Faculty of Business, Economy and Social Sciences)