Position at the ZHAW
PhD Student in Algorithmic Fairness
Expertise and research interests
algorithmic fairness, data science for social good
MSc in Informatics, 2021, University of Zurich
BSc in Informatics, 2019, University of Zurich
2022: Data Science for Social Good / Data Science Fellow / Carnegie Mellon University
2019-2020: Research Assistant / Teaching Assistant / Tutor, University of Zurich
2018-2019: Management- and Technology Consultant, Campana & Schott Switzerland AG
2014-2015: Internship Application Development, Lifeware SA Zürich
Membership of networks
- Digital Society Initiative
- PhD Programme in Data Science
- Data Ethics Expert Group
- PhD students in AI Ethics
- Algorithmic Fairness in data-based decision making: Combining ethics and technology / Team member / Project ongoing
Baumann, Joachim; Hannák, Anikó; Heitz, Christoph,
2022 ACM Conference on Fairness, Accountability, and Transparency.
FAccT '22 : 2022 ACM Conference on Fairness, Accountability, and Transparency, hybrid, 21-24 June 2022.
New York, NY:
Available from: https://doi.org/10.1145/3531146.3534645
Baumann, Joachim; Heitz, Christoph,
Proceedings 2022 9th Swiss Conference on Data Science (SDS).
2022 9th Swiss Conference on Data Science (SDS), Lucerne, Switzerland, 22-23 June 2022.
Available from: https://doi.org/10.1109/SDS54800.2022.00011