Digital Humanism – Interdisciplinary Science and Research Conference

Conferences and Workshops

Technology is transforming our world at an unprecedented pace, shaping societies, economies, and cultures in ways that demand critical examination. The Digital Humanism – Interdisciplinary Science and Research Conference 2025 provides a platform for interdisciplinary dialogue on the profound impact of digitalization, exploring both its promises and risks.

The organizers define Digital Humanism as an approach that describes, analyzes, and, most importantly, influences the complex interplay between technology and humankind—striving for a better society while fully respecting universal human rights. Addressing the challenges of the digital age requires collaboration across disciplines, from computer science to the humanities, to ensure technological advancements align with human values and social well-being.

This conference invites contributions from diverse perspectives, including governance and regulation of AI, privacy and digital rights, participatory approaches, the role of tech monopolies, human-centered AI, and the environmental impact of digitalization. It welcomes a wide range of research methodologies, from theoretical reflections to empirical studies, fostering a shared understanding that bridges technical and societal viewpoints.

Agenda

Day 1: Thursday, 20 November


08:30 - 09:15 Registration

09:15 - 09:30 Opening

09:30 - 10:30 Keynote Julian Nida-Rümelin

coffee break

11:00 - 12:30 Long papers I

lunch break

13:30 - 15:00 Long papers II

coffee break

15:30 - 17:00 Long papers III

coffee break

17:15 - 18:15 Keynote Gry Hasselbalch

 

Day 2: Friday, 21 November


09:30 - 11:05 Long papers IV

coffee break

11:30 - 13:05 Long papers V

lunch break

14:00 - 15:00 Keynote Hannes Werthner

15:00 - 16:00 Short papers I

coffee break

16:30 - 17:30 Short papers II

17:30 - 18:00 Closing

 

You can find the full program overwiev here.

Partnership

Organized in cooperation with the Center for Artificial Intelligence and Machine Learning (CAIML) at the Vienna University of Technology (TU Wien)

Funded by the Federal Ministry of Innovation, Mobility and Infrastructure (BMIMI)