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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Baldenweg-Bölle, Ulrike; Meierhofer, Jürg; Mertes, Alexander,
2022.
Co-creating service value from data in a public administration context.
Swiss Yearbook of Administrative Sciences.
13(1), pp. 35-50.
Available from: https://doi.org/10.5334/ssas.163
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Scherrer, Maike; Steiner, Albert; Rühlin, Viola,
2022.
Decoupling hubs for sustainable urban logistics : introducing a method to define optimal locations[paper].
In:
6th World Conference on Production and Operations Management (P&OM), online, 23-25 August 2022.
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Kook, Lucas; Herzog, Lisa; Hothorn, Torsten; Dürr, Oliver; Sick, Beate,
2022.
Deep and interpretable regression models for ordinal outcomes.
Pattern Recognition.
122(108263).
Available from: https://doi.org/10.1016/j.patcog.2021.108263
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Schweiger, Lukas; Benedech, Rodolfo Andres; Meierhofer, Jürg,
2022.
Development approach for value-creating service process twins based on service design methods[paper].
In:
IEEE DASC/PiCom/CBDCom/CyberSciTech 2022 Proceedings.
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Falerna, Italy, 12-15 September 2022.
IEEE.
Available from: https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9928003
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Pezzotta, Giuditta; Arioli, Veronica; Adrodegari, Federico; Rapaccini, Mario; Saccani, Nicola; Rakic, Slavko; Marjanovic, Ugljesa; West, Shaun; Stoll, Oliver; Meierhofer, Jürg; Holst, Lennard; Wiesner, Stefan A.; Bertoni, Marco; Romero, David; Pirola, Fabiana; Sala, Roberto; Gaiardelli, Paolo,
2022.
Digital servitization in the manufacturing sector : survey preliminary results[paper].
In:
Kim, Duck Young; Cieminski, Gregor von; Romero, David, eds.,
Advances in Production Management Systems. Smart Manufacturing and Logistics Systems : Turning Ideas into Action : IFIP WG 5.7 International Conference, APMS 2022, Gyeongju, South Korea, September 25-29, 2022, Proceedings, Part II.
IFIP International Conference on Advances in Production Management Systems (APMS 2022), hybrid, 25-29 September 2022.
Cham:
Springer.
pp. 310-320.
Available from: https://doi.org/10.1007/978-3-031-16411-8_37