We invite submissions to the 29th International Conference on
Discovery Science, welcoming paper submissions from all areas relevant
to artificial intelligence and data science. For all information, please see:
https://discovery-science.org/
The Discovery Science 2026 conference provides an open forum for
intensive discussions and exchange of new ideas among researchers
working in different areas of Artificial Intelligence and the data
sciences, focusing on discovering and advancing scientific knowledge.
Its scope includes developing and analyzing methods for discovering
scientific knowledge, coming from machine learning, data mining,
intelligent data analysis, and big data analytics, as well as their
application in various domains of physical, life, environmental, natural
and social sciences. This year, we particularly invite submissions
dealing with methodological contributions to the automation or partial
automation of discovery in various domains of the natural and human
sciences, from a methodological perspective.
Discovery Science 2026 is part of the AI4Science Week and co-located
with the 2nd International Conference on Artificial Intelligence for
Science (AI4Sci 2026), which features separate AI4Physics,
AI4Chemistry & Materials, AI4LifeSciences, and
AI4Humanities&SocialSciences tracks dealing with applications of AI
and Machine Learning. You are welcome to submit abstracts in any of
those tracks as well, especially if your contribution focuses on the
application of existing techniques to a specific field of scientific
inquiry. Contrary to the main track of Discovery Science 2026, note that
AI4Sci tracks are non-archival and also suited to ongoing or already
published work, similarly to workshops co-located with other major
conferences.
| When |
Oct 5, 2026 - Oct 9, 2026
|
|---|
| Where |
Mainz |
| Abstract Registration Due |
Jun 1, 2026
|
| Submission Deadline |
Jun 8, 2026
|
| Notification Due |
Jul 21, 2026
|
| Final Version Due |
Aug 1, 2026
|
Hope to see many of you there!
Mattia Cerrato & Jan N. van Rijn (PC Chairs)
Stefan Kramer (General Chair)