The Online-WASP-AI Summer School 2020 will take place in week 34 (August 17–21, 2020).
The tentative “course” program for the week is to have one topic and speaker per day, see the list below, covering each roughly four hours of lectures, exercises, discussions, etc, depending on the respective speaker’s preferences. Lecture time is however limited to a maximum of two hours per topic, to not give you more zoom-lecture induced fatigue than necessary.
The “other” program will feature some challenge (!) you will be working on throughout the week in small groups, some “fireside chats” with the lecturers on Tuesday and Thursday evenings, and the attempt to have some form of MWOOAW (*) and maybe virtual coffee breaks – respective tools are under evaluation.
We will use Canvas at KTH to give you access to material and links for zoom (plenary sessions) and virtual mingle tools; invitations to the course in Canvas (and access information and login credentials for those of you who are new to the graduate school) will be sent some days after the registration closes (August 2nd).
In case you have questions, do not hesitate to contact us!
Tentative list of speakers and topics.
– Monday: Thore Husfeldt, Computer Science Lund University, on Algorithmic Fairness
– Tuesday: Martin Vechev, Computer Science ETH Zürich (or a representative from his lab), on Safe AI
– Wednesday: Luigi Nardi, Computer Science / Math Lund University & DAWN Stanford University, on Bayesian Optimisation
– Thursday: Johan Wästlund, Math Chalmers, on Machine Learning and Games (most likely including some workshop setup)
– Friday: Armin Eftekhari, Math Umeå University, on Statistical Learning
(*) Massive WASP-Open Online After Work