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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Scherrer, Maike; Steiner, Albert; Rühlin, Viola,
2023.
Greening urban logistics : introducing a method to evaluate optimised decoupling hub locations[paper].
In:
Transportation Research Procedia.
9th Transport Research Arena (TRA), Lisbon, Portugal, 14-17 November 2022.
Elsevier.
pp. 572-579.
Available from: https://doi.org/10.1016/j.trpro.2023.11.441
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Te, Yiea-Funk; Wieland, Michèle; Frey, Martin; Pyatigorskaya, Asya; Schiffer, Penny; Grabner, Helmut,
2023.
Making it into a successful series a funding : an analysis of Crunchbase and LinkedIn data.
The Journal of Finance and Data Science.
9(100099).
Available from: https://doi.org/10.1016/j.jfds.2023.100099
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Renold, Manuel; Vollenweider, Janik; Mijović, Nemanja; Kuljanin, Jovana; Kalić, Milica,
2023.
Journal of Air Transport Management.
106(102305).
Available from: https://doi.org/10.1016/j.jairtraman.2022.102305
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Te, Yiea-Funk; Wieland, Michèle; Frey, Martin; Grabner, Helmut,
2023.
Mitigating discriminatory biases in success prediction models for venture capitals[paper].
In:
2023 10th IEEE Swiss Conference on Data Science (SDS).
10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023.
IEEE.
pp. 26-33.
Available from: https://doi.org/10.1109/SDS57534.2023.00011
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Meierhofer, Jürg; West, Shaun; Buecheler, Thierry, eds.,
2023.
Smart Services Summit : smart services creating sustainability.
Fifth Smart Services Summit, Zurich, Switzerland, 21 October 2022.
Cham:
Springer.
Progress in IS.
ISBN 978-3-031-36697-0.
Available from: https://doi.org/10.1007/978-3-031-36698-7