Institute for Data Science (IDS)
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 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 IDS
Publikationen
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Litchinko, Alexis; Freyenmuth, Patricia; Drewek, Anna; Ruckstuhl, Andreas; Adamina, Michel,
2025.
Development and validation of predictive models for anastomotic leakage in TaTME rectal surgery.
In:
Swiss College of Surgeons Annual Meeting, Lausanne, Switzerland, 21-23 May 2025.
Oxford University Press.
pp. znaf092.050.
Available from: https://doi.org/10.1093/bjs/znaf092.050
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Weisskopf, Simon; R. Moorthy, Anand; Rapaccini, Mario,
2025.
Enhancing circular economy initiatives through data analytics and sustainable practices[paper].
In:
West, Shaun; Meierhofer, Jürg; Buecheler, Thierry; Wally Scurati, Giulia, eds.,
Smart Services Summit : Proceedings of the Sixth Conference, held in Zurich, Switzerland in October 2024.
Smart Services Summit, Zurich, Switzerland, 18 October 2024.
Cham:
Springer.
pp. 179-190.
Available from: https://doi.org/10.1007/978-3-031-86958-7_13
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Reeve, Kelly A.; Schmutz Gelsomino, Nayeli; Venturini, Michela; Buddeberg, Felix; Zozman, Martin; Stocker, Reto; Kedda, Mary-Anne; Meier, Philipp; Möller, Marius; Wildhaber, Simone P.; Dodsworth, Benjamin T.,
2025.
BMJ Health & Care Informatics.
32(e101291).
Available from: https://doi.org/10.1136/bmjhci-2024-101291
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de Meer Pardo, Fernando; Lehmann, Claude; Gehrig, Dennis; Nagy, Andrea; Nicoli, Stefano; Branka Hadji, Misheva; Braschler, Martin; Stockinger, Kurt,
2025.
GraLMatch : matching groups of entities with graphs and language models[paper].
In:
Proceedings of EDBT 2025.
28th International Conference on Extending Database Technology (EDBT), Barcelona, Spain, 25-28 March 2025.
Open Proceedings.
pp. 1-12.
Advances in Database Technology ; 28.
Available from: https://doi.org/10.48786/edbt.2025.01
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Wernli, Stephan; Goren Huber, Lilach; Avdelidis, Nicolas P.; Rieder, Alfred,
2025.
Coriolis massflow measurement errors due to inhomogeneous entrained particles : an analytical model.
Flow Measurement and Instrumentation.
103(102847).
Available from: https://doi.org/10.1016/j.flowmeasinst.2025.102847