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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2022.
Financial markets and the phase transition between water and steam.
Physica A: Statistical Mechanics and its Applications.
592(126873).
Available from: https://doi.org/10.1016/j.physa.2022.126873
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2022.
Wie produzierende KMU den Wert ihrer Daten erkennen können.
Topsoft-Fachmagazin.
22(1), pp. 10-11.
Available from: https://doi.org/10.21256/zhaw-24559
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Hertweck, Corinna; Räz, Tim,
2022.
Gradual (in)compatibility of fairness criteria[paper].
In:
Proceedings of the 36th AAAI Conference on Artificial Intelligence : Vol. 36 No. 11: IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations.
36th AAAI Conference on Artificial Intelligence, online, 22 February–1 March 2022.
Palo Alto, CA:
Association for the Advancement of Artificial Intelligence.
pp. 11926-11934.
Available from: https://doi.org/10.1609/aaai.v36i11.21450
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Meierhofer, Jürg; Benedech, Rodolfo Andres; Schweiger, Lukas; Barbieri, Cosimo; Rapaccini, Mario,
2022.
Quantitative modelling of the value of data for manufacturing SMEs in smart service provision[paper].
In:
Le Dinh, Thắng; Drăgoicea, Monica, eds.,
International Conference on Exploring Service Science (IESS 2.2).
12th International Conference on Exploring Service Science, Geneva (virtual), 16-18 February 2022.
EDP Sciences.
pp. 04001.
ITM Web of Conferences ; 41.
Available from: https://doi.org/10.1051/itmconf/20224104001
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2022.
KunststoffXtra .
1-2(2022), pp. 30-32.
Available from: https://doi.org/10.21256/zhaw-24530