Autumn semester 2026 (HS 2026)

University of Basel · Graduate Center (GRACE), Transferable Skills

Date, venue, directions, rules, preparation, and schedule for the HS 2026 edition of Stochastic Parrots and Beyond.
Modified

15 October 2026

NoteAutumn semester 2026: confirmed

Wednesday, 4 November 2026, 09:00–17:00. Universitätsbibliothek Basel, GRACE room 306, 3rd floor.

This page is the single reference for participants of the HS 2026 edition. For registration, credits, and the binding course rules, go to the official course listing of the University of Basel.

Practical information

Practical information: Autumn semester 2026
Item Value
Status Confirmed
Date Wednesday, 4 November 2026
Time 09:00–17:00
Venue Universitätsbibliothek Basel, GRACE room 306, 3rd floor
Address Schönbeinstrasse 18–20, 4056 Basel (directions to the building)
Instructors Laura Wagner and Moritz Mähr
Organizer Graduate Center (GRACE), University of Basel, Transferable Skills
Course administration grace@unibas.ch
Audience University of Basel doctoral candidates and postdocs
Capacity 6–16 participants
Fee Free of charge for eligible participants
Credits 1 ECTS. It may count towards the AI-Skills Focus Area, Module 3 (8 hours).
Workload 30 hours in total: 8 h preparation, 8 h attendance, 14 h follow-up
Registration Closed; opened 5 August 2026, 09:00; closed 7 October 2026, 12:00
Official listing University of Basel course page
Detailed program Approved
Assignment deadline To be confirmed

Getting there

The course takes place at Universitätsbibliothek Basel, GRACE room 306, 3rd floor, Schönbeinstrasse 18–20, 4056 Basel. Use the directions to the building.

Attendance and registration

  • Full attendance is mandatory.
  • Registration: Closed; opened 5 August 2026, 09:00; closed 7 October 2026, 12:00. This site takes no registrations.
  • A late withdrawal after the registration deadline, or an unannounced absence, incurs a fee of CHF 30 under the published course regulations.
  • Further consequences for later registrations follow the regulations of the Transferable Skills program. This site does not repeat them.

Write to the course administration about registration, attendance, or a withdrawal. Do not use GitHub for these questions.

Prepare for the course day

  1. Read the required text: Bender et al., On the Dangers of Stochastic Parrots (2021).
  2. Write a short description of one actual or planned use of generative AI in your research. Say why you might use it and what you do not know about it.
  3. Bring a laptop.

Further reading is optional. The literature page lists readings and cases for each lens.

The assignments page gives a plan for the eight hours of preparation.

ImportantProtect your data

Do not bring confidential or personal research data to the exercises. No exercise needs a commercial AI account.

Schedule for the course day

Detailed program: Approved.

Timetable of a one-day edition
Time Block
09:00–09:20 Welcome, objectives, research-use examples
09:20–09:55 Lens 1: Scale and environment
09:55–10:30 Lens 2: Representation and Pygmalion
10:30–11:00 Break
11:00–11:35 Lens 3: Lifecycle and labor
11:35–12:10 Lens 4: Political economy
12:10–12:20 Integrate the four lenses; agree on the Panarchy challenge
12:20–13:20 Lunch
13:20–14:25 Panarchy, steps 1 to 7
14:25–14:55 Break
14:55–15:50 Panarchy, steps 9 to 13
15:50–16:20 Ecocycle: 30-minute adaptation
16:20–16:40 Individual research-use clinic
16:40–16:50 Next actions and instructions for the follow-up task
16:50–17:00 Course evaluation and closing

Credits

  • Credits: 1 ECTS. It may count towards the AI-Skills Focus Area, Module 3 (8 hours).
  • Workload: 30 hours in total: 8 h preparation, 8 h attendance, 14 h follow-up.
  • The credit depends on full attendance and on the completion of the applicable tasks.
  • The Graduate Center (GRACE) confirms the credit. It normally becomes visible around the end of January 2027, not directly after the submission.

Follow-up task

The follow-up task is a Responsible GenAI Use Statement. The assignments page describes it. Before you submit, discuss your draft with at least one peer who knows your field.

Submit the statement in one of two ways:

  • by email to the course administration (GRACE): grace@unibas.ch.
  • through the Use Statement form on GitHub. A GitHub issue is public. For the credit, email the link of your issue to the course administration.

Publication on this site is opt-in. The instructors publish a statement only when its author agrees.

ImportantDeadline

Deadline for the follow-up task: To be confirmed.

Course evaluation

The last ten minutes of the course day are for the course evaluation. Use this link on the course day: Course evaluation for Autumn semester 2026.

Contact

Back to top