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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De Meer Pardo, Fernando; Schwendner, Peter; Wunsch, Marcus,
2022.
The Journal of Financial Data Science.
4(4), pp. 110-132.
Available from: https://doi.org/10.3905/jfds.2022.1.109
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Herterich, Matthias M.; Dremel, Christian; Wulf, Jochen; vom Brocke, Jan,
2022.
The emergence of smart service ecosystems : the role of socio‐technical antecedents and affordances.
Information Systems Journal.
33(3), pp. 524-566.
Available from: https://doi.org/10.1111/isj.12412
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Koller, Thomas; Grabner, Helmut,
2022.
Who wants to be a click-millionaire? : on the influence of thumbnails and captions[paper].
In:
2022 26th International Conference on Pattern Recognition (ICPR).
26th International Conference on Pattern Recognition (ICPR), Montréal, Canada, 21-25 August 2022.
IEEE.
pp. 629-635.
Available from: https://doi.org/10.1109/ICPR56361.2022.9956202
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Gioia, Stefano; De Martinis, Valerio; Bütikofer, Stephan; Wüst, Reimond Matthias,
2021.
Evaluation of the delay management potential on a macroscopic level[paper].
In:
de Doncker, Rik W.; Nießen, Nils; Friesen, Nadine; Schindler, Christian, eds.,
IRSA 2021 : Tagungsband.
3rd International Railway Symposium Aachen (IRSA), Aachen, Germany, 21-23 November 2021.
Aachen:
RWTH Aachen University.
pp. 165-180.
Available from: https://doi.org/10.18154/RWTH-2022-01700
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2021.
Chaitin’s Omega and an algorithmic phase transition.
Physica A: Statistical Mechanics and its Applications.
586, pp. 126458.
Available from: https://doi.org/10.1016/j.physa.2021.126458