Summer School Information Event

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Summer School Information Event

Summer School Information Event

Date and Time: Monday, 25. April, 2022; 4:00 pm

Speaker: Andrea Hamm, Martin Schuessler, Dr Stefan Ullrich

Venue: virtual event

Participation: If you are interested in participating please contact: gs@bifold.berlin

Andrea Hamm and Martin Schuessler, supported by Dr Stefan Ullrich, will present the program of the BIFOLD Ethics in Residence’s Summer School, which will take place from 20.-24. June in a hotel around Berlin and at the Weizenbaum Institute. The Summer School complements and serves the technological research on artificial intelligence (AI) within the AI Competence Centres with aspects of ethics, explainability, and sustainability. It is organized within the Ethics in Residence program, which is realized between the Weizenbaum Institute for the Networked Society – the German Internet Institute – and the Network of the German AI Competence Centres.

The Summer School is fully funded by BIFOLD and open to all BIFOLD PhD students, and in addition those from the other centres of the German AI Competence Center Network (ML2R, MCML, TUE-AI, ScaDS, DFKI).


The program includes multiple hands-on workshops to advance the participants’ individual research projects, several high-profile international guest lectures and Q&A sessions with the guest speakers, a panel discussion, and participants’ presentation sessions for expert jury feedback. The international expert researchers and guest speakers joining have backgrounds in computing within limits, disaster research, and COVID-19 data research. In addition, the summer school offers two main tracks, one on explainable deep neural networks (XNN) and one on sustainable AI (SAI), for a more specialized training of the PhD students.

About the presenters & track leaders
Andrea Hamm
Copyright: private

Andrea Hamm is a doctoral researcher at the Weizenbaum Institute for the Networked Society and TU Berlin. In her dissertation, she investigates civic technologies for environmental monitoring in the context of making cities and communities more sustainable. She is particularly interested in the real-world effects of AI technologies, for instance to understand how AI-supported simulations contribute to reducing CO2 footprints and material consumption. She has published at international venues such as at ACM CHI Conference on Human Factors in Computing Systems, ACM ICT for Sustainability Conference, and the International Conference on Wirtschaftsinformatik WI. Her work focuses on the interdisciplinary transition from human-computer interaction (HCI) and design studies to communication studies. She is a member of the German-Japanese Society for Social Sciences and the AI Climate Change Center Berlin-Brandenburg. In 2019, she was a guest researcher at Aarhus University, Denmark, after previously studying at Freie Universität Berlin (Germany), Vrije Universiteit Brussel (Belgium), and Université Catholique de Lille (France).

Martin Schuessler is a tech-savvy, interdisciplinary human-computer interaction researcher with the belief that it is the purpose of technology to enhance people’s lives. As an undergrad, he followed this belief from a technical perspective by investigating the usability of new interaction paradigms such as tangible and spatial interfaces at the OvGU Magdeburg and Telekom Innovation Labs Berlin. As a PhD student at the interdisciplinary Weizenbaum Institute he adopted a broader often less technical perspective on the same belief (still involving a lot of programming). His dissertation work looks at ways to make computer vision systems more intelligible for users. Martin has been a visiting researcher at the University College of London Interaction Center and the Heidelberg Collaboratory for Image Processing. He has published articles at top international conference on Learning Representations (ICLR), Human Factors in Computing Systems (CHI), Computer-Supported Cooperative Work and Social Computing (CSCW) and Intelligent User Interfaces (IUI).

Martin Schüssler
Copyright: private

The Summer School as a whole and as a part of the BIFOLD Ethics in Residence Program is fostered by Dr. Stefan Ullrich.

BIFOLD Summer School

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BIFOLD Summer School

Ethics in Machine Learning & Data Management

The BIFOLD summer school will take place from 20-24 June 2022 at a Hotel near Berlin. It will focus on the latest ethical considerations in machine learning and data management by offering lectures and workshops on two main tracks. The school is designed for doctoral students of the BMBF‘s network of AI competence centres and organized by the BIFOLD Graduate School in collaboration with the Ethics in Residence Program with researchers of the Weizenbaum Institute for the Networked Society – the German Internet Institute.

Sufficient time for hands-on workshops and individual feedback is included.
C: StockSnap/pixabay

The summer school complements technological research on artificial intelligence (AI) within the AI competence centres with ethical aspects of explainability and sustainability. It is part of the Ethics in Residence program. The program includes multiple hands-on workshops to advance individual research projects, several guest lectures including Q&A, a panel discussion, and Ph.D. student presentation sessions with expert jury feedback. The summer school offers two tracks on explainable deep neural networks (XNN) and sustainable AI (SAI) for more specialized training of the doctoral students. All of BIFOLD’s PhD students are invited to participate. In addition BIFOLD offers places for the PhD students of the German AI competence centre network (ML2R, MCML, TUE-AI, ScaDS, DFKI).

Invited international experts

International expert researchers with backgrounds in computing within limits, disaster research, and COVID-19 data research are joining the summer school as speakers and are reachable for individual feedback.

Daniel Pargman, Ph.D.
KTH Royal Institute of Technology, Stockholm, Sweden

Teresa Cerratto Pargman, Ph.D.
Stockholm University, Sweden

Yuya Shibuya, Ph.D.
The University of Tokyo, Japan

Raphael Sonabend, Ph.D.
Imperial College London, UK & University of Kaiserslautern, Germany

Alan Borning, Ph.D. & Lance Bannett, Ph.D.
University of Washington, Seattle, USA

Enrico Costanza, Ph.D.
University College London, UK

Focus tracks

Track XNN focuses on evaluating interpretable machine learning to provide students with the ability to empirically validate claims about interpretability:

  • Critical review of XAI methods: taxonomies of XAI approaches, review of explanation goals, user benefits and current results from user studies
  • Rigorous methods for validating explanation methods with users: interdisciplinary methodological training, suitable evaluation datasets, user tasks and study designs, participant recruitment, validity, and reproducibility considerations

Track SAI emphasizes on ecological and socio-political aspects of AI to understand how AI and data can contribute to action in the name of sustainability transition:

  • Sustainability in research and policies: What is sustainability? United Nations SDGs, COVID-19, critical thinking on AI, environmental monitoring, sustainable smart cities and communities
  • SAI approaches and methods: data feminism, digital civics, computing within limits, citizen science, social media data, and mixed methods.
Organisational details

Pandemic conditions permitting, the school will be held as an on-site event at a lakeside hotel near Berlin, allowing time and space for outside sports and relaxing. Participants are expected to attend the entire program, arrival from 19. June, departure 25. June 2022. There is no tuition fee.
Please get in touch with us in case you need child care.

Program venue: Weizenbaum Institute for the Networked Society
Accomodation: Hampton by Hilton Berlin City West, in walking distance to Weizenbaum & TU Berlin, in the heart of Berlin, with the nearby Tiergarten Park providing plenty of greenery  

Application/Registration

Please send one pdf-file, including your CV, an abstract of your (preliminary) Ph.D. project, and a short motivation message describing why you would like to participate and what you would like to learn during the summer school, to gsapplication@bifold.tu-berlin.de.
Application deadline is 30. April 2022.

Organisers

Andrea Hamm
Doctoral Researcher, Research Group “Responsibility and the Internet of Things”, Weizenbaum Institute for the Networked Society & TU Berlin, Germany

Martin Schuessler
Doctoral Researcher, Research Group “Criticality of AI-based Systems”, Weizenbaum Institute for the Networked Society & TU Berlin, Germany

Dr. Stefan Ullrich
Weizenbaum Institute for the Networked Society, Berlin, Germany

Prof. Dr. Volker Markl
Co-Director BIFOLD

Prof. Dr. Klaus-Robert Müller
Co-Director BIFOLD

Dr. Tina Schwabe, Dr. Manon Grube
Coordinators of the BIFOLD Graduate School