Institute of Data Analysis and Process Design (IDP)
We create value from data
We use advanced data-based methods to create innovative solutions for business and industry. We address real-life challenges with scientific methods and a strong commitment to practicability. We are the leading educator and partner of choice for applied data science and business engineering in Switzerland.
Research Groups
Advanced scientific tools for solutions in the financial industry
Health and Envrionmental Analytics
Health and Environmental Analytics
Analyzing data to derive interpretable results using statistical and machine learning techniques
Maintenance, Mobility, AI & Society
Leverage AI and advanced modeling for innovations in predictive maintenance, mobility solutions, and socially aligned systems
Generating insights, creating value and fostering innovation in business processes and services
Visual Intelligence and Applications
As visual data becomes one of the most abundant and complex sources of information, Visual Intelligence is a key pillar of modern data science — enabling new ways to analyze, model, and communicate through images, video, and immersive environments
For Students
Consulting Services
News
Team IDP
Publikationen
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Kook, Lucas; Sick, Beate; Bühlmann, Peter,
2022.
Distributional anchor regression.
Statistics and Computing.
32(3), pp. 39.
Available from: https://doi.org/10.1007/s11222-022-10097-z
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Baumann, Joachim; Hannák, Anikó; Heitz, Christoph,
2022.
Enforcing group fairness in algorithmic decision making : utility maximization under sufficiency[paper].
In:
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency.
5th ACM Conference on Fairness, Accountability, and Transparency (FAccT), Seoul, Republic of Korea, 21-24 June 2022.
New York:
Association for Computing Machinery.
pp. 2315-2326.
Available from: https://doi.org/10.1145/3531146.3534645
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Larsson, Anders; Elldér, Erik; Vafeiadis, Evangelos; Curtis, Carey; Steiner, Albert,
2022.
Exploring the potential for sustainable accessibility across settlement types : a Swedish case.
Transportation Research Part D: Transport and Environment.
107(103297).
Available from: https://doi.org/10.1016/j.trd.2022.103297
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Baumann, Joachim; Heitz, Christoph,
2022.
Group fairness in prediction-based decision making : from moral assessment to implementation[paper].
In:
Proceedings 2022 9th Swiss Conference on Data Science (SDS).
9th Swiss Conference on Data Science (SDS), Lucerne, Switzerland, 22-23 June 2022.
IEEE.
pp. 19-25.
Available from: https://doi.org/10.1109/SDS54800.2022.00011
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Loi, Michele; Heitz, Christoph,
2022.
In:
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency.
5th ACM Conference on Fairness, Accountability, and Transparency (FAccT), Seoul, Republic of Korea, 21-24 June 2022.
Association for Computing Machinery.
pp. 2026-2034.
Available from: https://doi.org/10.1145/3531146.3533245