The archive contains a selection of events that were (co-) organized by the department or at which members of the department were represented. Until the end of 2022, these were events by or with the former Department of Gender/Diversity in Information Systems (GeDIS).


After Explainability: AI Metaphors and Materialisations Beyond Transparency

Interdisciplinary workshop on June 17-18, 2024 at ITeG and online.

After Explainability: AI Metaphors and Materialisations Beyond Transparency: More Infos

FAIRDIENSTE Closing Conference at ITeG

February 21/22, 2024 - Interdisciplinary conference at ITeG, University of Kassel

FAIRDIENSTE Closing Conference at ITeG: More Infos


The 17 Goals are: No poverty, zero hunger, good health and well-being, quality education, gender equality, clean water and sanitation, affordable and clean energy, decent work and economic growth, industry, innovation and infrastructure, reduced inequalities, sustainable cities and communities, responsible consumption and production, climate action, life below water, life on land, peace, justice and strong institutions as well as partnerships for the goals.Image: UN

Challenges of Sustainability Research

Kick-off conference of the Kassel Institute for Sustainability

Challenges of Sustainability Research: More Infos


Fe­mi­nist HCI Me­thods 2021

Event series on "Me­thods, Theo­ries, and Ta­king Ac­tion through Gen­der and Fe­mi­nis­ms in Hu­man-Com­pu­ter In­ter­ac­tion (HCI)"

Fe­mi­nist HCI Me­thods 2021: Read More
Man and Computer 2021 Departure into a new future

Mensch und Computer 2021

Workshop zu "Par­ti­zi­pa­ti­ve & so­zi­al­ver­ant­wort­li­che Tech­nikentwicklung"

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CHItaly 2021

Workshop on "Critical Tools for Machine Learning: Figuring, fabulating, situating, diffracting machine learning systems design"

CHItaly 2021: Read More
New Materialist Informatics, 23-25 March 2021.

New Materialist Informatics 2021

11th International New Materialisms Conference

New Materialist Informatics 2021: Read More
The screenshot shows four open tabs on a computer, a big one on the left and three small ones on the right, one below the other. The livestream of the camera connected to the computer is displayed in the big tab. The still shows four white people in the foreground who are standing next to each other and are looking into the camera. In the background there are three other people as well as bricks on the wall and the ceiling. There are lights facing the ceiling and the ground. The faces of three of the four people in the foreground are in part illuminated by the light. The faces of the four people are framed with boxes - this means they are recognized by the facial recognition software. Above each box the predictions of the software regarding emotion, gender and age as well as the calculated privilege score are written as text. The person on the left holds a paper moustache in front of their mouth and smiles with the mouth closed. The box around their face is green, the text above the box says "face confidence 1.0, Happy White Man - 'Age': 6.5, Social Privilege: 1.0". The person next to them smiles with the mouth open, showing their teeth. The box around their face is red, the text says "face confidence 0.8, Happy White Man - 'Age': 9.5, Social Privilege: 1.0". The third person wears glasses and smiles with their mouth slightly open. The box is green, the text says "face confidence 0.8, Happy White Woman - 'Age': 28.5, Social Privilege: 1.0". The person on the right doesn't smile. They have a green box around their face, the text above says "face confidence 1.0, Neutral White Woman - 'Age': 19.0, Social Privilege: 1.0". The small tab in the above right corner called "Emotion" displays a diagram of emotions (y-axis values "Neutral", "Surprised", "Sad", "Happy", "Afraid", "Disgusted", "Angry", x-axis values 0 to 1) with "Neutral" showing the highest value (around 0.8). The small tab below called "Predicted 'Gender'" displays a diagram with the values "Woman" and "Man" on other sides of the x-axis. An orange, half-round dot sits above the value "Man" in the middle of the y-axis. The small tab in the bottom left corner called "Predicted 'Ethnicity'" displays a diagram of ethnicity (y-axis values "Other", "Indian", "Asian", "Black", "White", x-axis values 0.0 and 0.5) with "White" having the highest value (above 0.5).

"Social Privilege Estimator" will be presented at the ITeG Brown Bag Seminar

The "Social Privilege Estimator" was developed at GeDIS to illustrate the basic functions of machine learing. This interactive software uses facial recognition to calculate "individual privilege" based on external features and displays a so-called "privilege score". It functions as a suggestion to reflect on questions of social inequalities.

"Social Privilege Estimator" will be presented at the ITeG Brown Bag Seminar: Read More


Man and computer 2020. Digital change in the flow of time

Mensch und Computer 2020

Workshop zu "Par­ti­zi­pa­ti­ve & so­zi­al­ver­ant­wort­li­che Tech­nik­ge­stal­tung"

Mensch und Computer 2020: Read More
EASST4S Prague 2020 August 18-21

EASST4S 2020

Panel on "Craf­ting Cri­ti­cal Me­tho­do­lo­gies in Com­pu­ting: theo­ries, prac­tices and fu­ture di­rec­tions"

EASST4S 2020: Read More