This workshop aims to bring together some of the world's experts working on the most exciting routes towards true automated scientific discovery. The explicit purpose of this workshop is to emphasize those cases where the machine generates new insights on its own (rather than merely exploiting the well-known tools of machine learning as an aid in human-directed discovery). The most important goal of this workshop is to inspire discussions on possible avenues for future developments.
The workshop will take place online, from June 29 (Tue) to July 1 (Thu), running each day from 4pm CET (=10 am EDT) to about 8pm, including a break.
Confirmed Invited Speakers
Natalia Ares (Oxford)
Hans Briegel (Innsbruck)
Ross King (Chalmers)
Mario Krenn (Toronto)
J. Nathan Kutz (U of Washington, Seattle)
Georg Martius (MPI for Intelligent Systems, Tuebingen)
Renato Renner (ETH Zürich)
James P. Sethna (Cornell)
The program will be announced here in time.
Registration will be open (free of charge) starting June 1 until June 23. The registration link will be placed here.
Besides the invited talks, there will also be a virtual poster session, where we invite contributed presentations from anyone.
Please send an email to email@example.com if you intend to present a poster, including the title of your poster and your affiliation. Deadline: June 14
After the deadline, we will then send you instructions of how to upload your poster in a format suitable for the virtual session (on the "gather" platform).