Banner Banner

Summer School 2023

ARTIFICIAL INTELLIGENCE AND ECOLOGICAL SUSTAINABILITY

The second BIFOLD Weizenbaum summer school will focus on the complex relationship between Artificial Intelligence and sustainability, especially on Artificial Intelligence or Machine Learning as instruments for sustainable development. The program will comprise keynotes, lectures, and practical sessions and is jointly organized by the BIFOLD Graduate School and the Weizenbaum Institute for the Networked Society – the German Internet Institute.

The summer school will be a 5-day in-person event from Monday, 11 September 2023, until Friday, 15 September 2023. It is designed for doctoral students of the Weizenbaum Institute as well as from the network of German Centres of Excellence for AI: BIFOLD, DFKI, Lamarr, MCML, ScaDS.AI, and TUE.AI.

KEYNOTES: The keynote speeches are intended to provide an introductory overview of specific topics in the areas of Machine Learning and Data Management, as well as the possible societal impact and ethical considerations of using or not using Artificial Intelligence in the context of ecological sustainability.

IN-DEPTH SESSIONS: Subject-specific topics will be addressed in in-depth sessions and workshops: Participants will be divided into three parallel sessions according to their field of interest: Machine Learning, Data Management, or societal impact of Machine Learning and Data Management.

GROUP WORK: Further, the program offers the possibility to work in groups on practical sustainability problems. The groups will be composed of students from different backgrounds to look at the given situation from different angles. The group work will be continuously supervised and culminates in a final presentation of the results and individual feedback for the groups. One goal is to draft a short paper, which will be published in an anthology in the Weizenbaum Series.

NETWORKING: Ample time for networking, exchange, and discussions will be provided between the sessions. There will be a good balance between the number of participants and speakers, who will also be available for further discussion.

We are looking forward to your registration (application deadline 15 June 2023).

Keynote Speakers

The three keynote speeches are held by highly recognized scientists and intended to give an introductory overview of specific topics in the area of Machine Learning, Data Management, as well as the possible societal impact of using or not using AI in the context of ecological sustainability, allowing participants from all disciplines to broaden their interdisciplinary skills and understanding.

Prof. Rainer Mühlhoff

Osnabrück University, Germany

 

Keynote TBA

Prof. Wojciech Samek

Fraunhofer Heinrich Hertz Institute & BIFOLD, Berlin, Germany

 

Keynote: Concept-Level Explainable AI

Prof. Sebastian Schelter

University of Amsterdam, Netherlands

 

Keynote TBA

All Speakers of the BIFOLD Weizenbaum Summer School 2023 are listed here.

Agenda

The BIFOLD Weizenbaum Summer School 2023 will present a variety of formats taking place over five days. In the following, you will find the schedule for each day. Please note that on Tuesday and Wednesday, three content tracks are prepared. Please choose in the registration form which of the tracks you are interested in attending.

Time

Description

10:00 - 11:00

Registration

11:00 - 12:00

Welcome Speech
Prof. Volker Markl (BIFOLD)
Prof. Klaus-Robert Müller (BIFOLD)
Prof. Herbert Zech (Weizenbaum Institute)

12:00 - 13:00

Keynote - TBA
Prof. Rainer Mühlhoff (Universität Osnabrück)

13:00 - 14:00

Lunch

14:00 - 16:00

Introductory session with speed meeting

16:00 - 16:30

Break

16:30 - 17:30

Lecture - Artificial Intelligence and Planetary Boundaries - How can we use AI to improve environmental sustainability?
Markus Voss (Birds on Mars)

18:00 Social get together

 

Time Description
09:00 - 10:00

Keynote – Concept-Level Explainable AI
Prof. Wojciech Samek (Fraunhofer HHI & TU Berlin)

10:00 - 10:30

Break

 

Parallel Sessions with Lectures, Tutorials and Workshops

Data Management

Machine Learning

Societal Impact

10:30 - 12:30

Resource aware ML
Prof. Pinar Tözün (IT University of Copenhagen)

XAI

10:30: Prof. Marina Höhne (Leibniz Institute for Agricultural Engineering and Bioeconomy, Potsdam)

11:30: Simon Letzgus (TU Berlin)

TBA
Rainer Mühlhoff (Osnabrück University)

12:30 - 13:30

Lunch

13:30 - 15:30

DM for Internet of Things
Dr. Steffen Zeuch (BIFOLD)

Efficient ML

13:30: Dennis Grinwald (BIFOLD) & Philipp Wiesner (TU Berlin)

14:30: Dr. Sebastian Buschjäger (LAMARR & TU Dortmund)

TBA
Rainer Mühlhoff (Osnabrück University)

15:30 - 16:00 Break
16:00 - 18:00 Group work

 

Time

Description

09:00 - 10:00

Keynote – TBA
Prof. Sebastian Schelter (University of Amsterdam)

10:00 - 10:30

Break

 

Parallel Sessions with Lectures, Tutorials and Workshops

Data Management

Machine Learning

Societal Impact

10:30 - 12:30

DM & ML for Earth observation
Prof. Begüm Demir (BIFOLD)

Generative Modelling

10:30: Jonas Köhler

11:30: Niklas Gebauer  (BIFOLD)

TBA
Dr. Stefan Ullrich (KI-Ideenwerkstatt)

12:30 - 13:30

Lunch

13:30 - 15:30

Urban Sustainability
Prof. Andrea Cominola (TU Berlin & Einstein Center Digital Future)

Quantum Chemistry
Dr. Kristof Schütt (Pfizer)

TBA
Dr. Stefan Ullrich (KI-Ideenwerkstatt)

15:30 - 16:00

Break

16:00 - 18:00

Group work

 

Time Description
09:00 - 10:00

Lecture – TBA
TBA

10:00 - 10:30

Break

10:30 - 11:30

Lecture – TBA
TBA

11:30 - 12:30

Lecture – TBA
TBA

12:30 - 13:30

Lunch

13:30 - 15:30

Group work

15:30 - 16:00

Break

16:00 - 18:00

Group work

 

Time Description
09:00 - 10:30

Group presentations with feedback

10:30 - 11:00

Break

11:00 - 12:00

Group presentations with feedback

12:00 - 13:00

Wrap-up session

13:00 - 14:00

Lunch

14:00

Departure

 

ORGANISATIONAL DETAILS

Participants are expected to attend the entire program.

Duration: Arrival is on Monday, 11 September 2023. Departure is on Friday, 15 September 2023

Application deadline: 15 June 2023

Fees: Participants are expected to pay for their individual travel and accommodation expenses

Accommodation: For external participants, we have pre-reserved rooms at Hotel Schöneberg (https://hotel-schoeneberg.de/), which is located within 10 minutes walking distance to the EUREF Campus.

Participants are responsible to book their own rooms individually until 07 August 2023. Please mention the keyword «BIFOLD» in order to benefit from the pre-reservation. The rooms need to be paid by the participants.

Child care: Please get in touch with us in case you need child care

Contact: Dr. Tina Schwabe, gsapplication@bifold.tu-berlin.de

Organizers: BIFOLD Graduate School and the Weizenbaum Institute for the Networked Society – the German Internet Institute, Research group: Digitalization, Sustainability, and Participation


Venue: EUREF Campus, in the very center of Berlin, with many possibilities for relaxation and outdoor activities nearby

Adress: TU-Campus EUREF, EUREF-Campus 9, 10829 Berlin-Schöneberg

Directions: The EUREF Campus is located close to the ICE train station Südkreuz and the S-Bahn station Schöneberg. More Details can be found at: https://euref.de/wp-content/uploads/EUREF-Campus_Berlin_Anfahrtbeschreibung_DE.pdf (German)

Campus map: https://euref.de/wp-content/uploads/20230401_EUREF_Campusplan_Allgemein.pdf (German)

We are looking forward to you registration (application deadline 15 June 2023).

Partner

Network