Univ.-Prof. Dipl.-Wirt.-Inf. Dr. Stefan Thalmann
He is professor for business analytics and data science at the University of Graz. Prof. Thalmann is the director of the Center for Business Analytics and Data Science and leads the Information Systems group of the Institute for Operations and Information Systems. Stefan Thalmann holds a habilitation degree (venia legendi), a Ph.D. in Information Systems from the Universtity of Innsbruck and a master’s degree in information systems from the Martin Luther University of Halle-Wittenberg. During his academic career, he was employed at the Martin-Luther-University of Halle-Wittenberg (Germany), Graz University of Technology (Austria), the University of Innsbruck (Austria), the Free University of Bolzano (Italy) and the FH Kufstein (Austria). He worked as AREA manager for the Pro2Future GmbH and as senior researcher for the Know-Center GmbH. Further, he was a visiting researcher at the Learning Technology Research Institute of the London Metropolitan University (UK) and at the Information Technology Research Institute of the University of Jyväskylä (Finland).
Prof. Thalmann´s research interests include Business Analytics, Data Driven Decision Support, Adoption and Auditing of AI, Explainable AI and Knowledge Protection.

Links:
- https://at.linkedin.com/in/stefan-thalmann-3b076785
- https://www.researchgate.net/profile/Stefan_Thalmann
- https://scholar.google.com/citations?user=NBCVqm4AAAAJ&hl=en
- https://www.xing.com/profile/Stefan_Thalmann
Short-CV
Since 2018 | Professor for Business Analytics and Data Science at the Karl-Franzens University of Graz. |
2016 - 2018 | Assistant professor at the Graz University of Technology, Institute for Interactive Systems and Data Science. |
2017 - 2018 | Area manager for the area “Cognitive Decision Support” at the Comet Competence Center “Pro2Future”. |
2016 - 2018 | Senior researcher at the Comet Competence Center “Know Center”. |
2011 - 2018 | Lecturer at University of applied sciences Kufstein Tirol, Austria, for Knowledge Management in the master program „Enterprise Resource Planning Systems and Business Process Management”. |
2011 - 2017 | Assistant professor at the University of Innsbruck, School of Management, Department of Information Systems, Production and Logistics Management, Information Systems. |
2012 - 2014 | Contract professor at the Free University of Bolzano, Italy for „Data and Information Management“ in the bachelor program “Tourism, Sport and Event Management”. |
2007 - 2011 | Research assistant at the University of Innsbruck, School of Management, Department of Information Systems, Production and Logistics Management, Information Systems. |
2011 | Visiting researcher at the University of Jyväskylä (Finnland). |
2008 | Visiting researcher at the London Metropolitan University (UK). |
2006 - 2007 | Research assistant at the Martin-Luther-University, Halle-Wittenberg, Chair for Information Systems, Information Management. |
Projekte und Publikationen
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Haberl, Armin; Thalmann, Stefan
Automated Machine Learning in Research – A Literature Review..
In: Bui, Tung X. (Hg.): Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS-58), 2025 . Honolulu, Hawaii. University of Hawaiʻi at Manoa. 2025. 7524-7533..
Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper) -
Jud, Matthias; Thalmann, Stefan
AI in digital sports coaching - a systematic review..
In: MANAGING SPORT AND LEISURE. -,-. 2025. 1-17. doi:10.1080/23750472.2024.2449016.
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Jesenko, Berndt; Thalmann, StefanA Maturity Model for Data-Driven Service Innovation.In: Bui, Tung X. (Hg.): Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS-58), 2025 . Honolulu, Hawaii. University of Hawaiʻi at Manoa. 2025. 4706-4715.Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper)
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Semmelrock, Harald; Ross-Hellauer, Tony; Kopeinik, Simone; Theiler, Dieter; Haberl, Armin; Thalmann, Stefan; Kowald, DominikReproducibility in machine-learning-based research:Overview, barriers, and drivers.In: AI magazine. 46,2. 2025. n/a - n/a. doi:10.1002/aaai.70002Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag
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Polzer, Anna; Thalmann, Stefan
AutoML solutions for decision support. Guimarães. 02.07.2024..
Forschung: Vortrag > Beitrag -
Ehret, Michael; Stocker, Alexander; Thalmann, Stefan
Data Governance in Service Ecosystems – The Case of Vehicle-Based Services. Graz. 12.06.2024..
Forschung: Vortrag > Beitrag -
Polzer, Anna; Gatternig, Elias; Thalmann, Stefan
Wie entscheidet eine künstliche Intelligenz? Graz. 24.05.2024..
Transfer: Vortrag > Beitrag -
Gremsl, Thomas
AutoML zwischen Zukunftspotenzialen und neuen Herausforderungen: Ein Spannungsfeld von Ethik, Technik und Wirtschaft
Laufzeit: 01.03.2024 - 28.02.2025GeldgeberIn: Länder (inkl. deren Stiftungen und Einrichtungen)
Drittmittelprojekt (§§ 26-28 UG) (laufend) -
AutoML zwischen Zukunftspotenzialen und neuen Herausforderungen: Ein Spannungsfeld von Ethik, Technik und Wirtschaft (CheckAutoML)
Laufzeit: 01.03.2024 - 28.02.2025 GeldgeberIn: Länder (inkl. deren Stiftungen und Einrichtungen)
Weiteres Projekt (laufend) > Drittmittelprojekt -
CheckAutoML - AutoML zwischen Zukunftspotenzialen und neuen Herausforderungen: EinSpannungsfeld von Ethik, Technik und Wirtschaft
Laufzeit: 01.03.2024 - 28.02.2025 GeldgeberIn: Länder (inkl. deren Stiftungen und Einrichtungen)
Weiteres Projekt (laufend) > Drittmittelprojekt -
Smart Regulation of and by Low or No Code Development Platforms for AI in organisations [Sm-AI-R]
Laufzeit: 01.02.2024 - 30.06.2027
Weiteres Projekt (laufend) > Universitätsintern finanziertes Projekt -
Thalmann, Stefan
Empowering Domain Experts in Developing AI: Challenges of bottom-up ML development platforms. Auckland. 25.01.2024..
Forschung: Vortrag > Hauptbeitrag -
Fleiß, Jürgen; Bäck, Elisabeth; Thalmann, Stefan
Mitigating Algorithm Aversion in Recruiting: A Study on Explainable AI for Conversational Agents..
In: Data Base for Advances in Information Systems. 55,1. 2024. 56–87. doi:10.1145/3645057.3645062.
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Haberl, Armin; Fleiß, Jürgen; Kowald, Dominik; Thalmann, Stefan
Take the aTrain. Introducing an interface for the Accessible Transcription of Interviews..
In: Journal of Behavioral and Experimental Finance . 41. 2024. 100891. doi:10.1016/j.jbef.2024.100891.
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Thalmann, S.; Maier, R.; Remus, U.; Manhart, M.
Connect with care: informal knowledge protection practices to enhance knowledge sharing in networks of organizations..
In: VINE Journal of Information and Knowledge Management Systems. ahead-of-print,ahead-of-print. 2024. ahead-of-print. doi:10.1108/VJIKMS-02-2022-0051.
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Zeiringer, Johannes P.; Fleiss, Jürgen; Thalmann, Stefan
Data Anonymization as Instrument to manage Knowledge Risks in Supply Chains..
In: Bui, Tung X. (Hg.): Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS-57), 2024, 2. Honolulu, Hawaii. University of Hawaiʻi at Manoa. 2024. 5503-5512..
Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper) -
Thalmann, Stefan; Fomin, Vladislav V.; Ramos, Isabel; Gremsl, Thomas; Mourzine, Eugene
Empowering Domain Experts in Developing AI: Challenges of bottom-up ML development platforms..
In: DIGIT2023 (Hg.): Proceedings of the 2023 Pre-ICIS SIGADIT DIGIT Conference in Hyderabad. m. AIS Electronic Library (AISeL). 2024. 1-10..
Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper) -
Koenigstorfer, Florian; Haberl, Armin; Kowald, Dominik; Ross-Hellauer, Tony; Thalmann, Stefan
Black Box or Open Science? Assessing Reproducibility-Related Documentation in AI Research..
In: Bui, Tung X. (Hg.): Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS-57), 2024, 3. Honolulu, Hawaii. University of Hawaiʻi at Manoa. 2024. 682-691..
Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper) -
Mandl, Melanie; Malin, Christine; Thalmann, Stefan
It’s a Match! – Finding the Perfect Participants for Health Research. Study on the Willingness to Share Health Data with a Research Referral Portal..
In: Pucihar, Andreja; Borštnar, Mirjana, Kljajić; Blatnik, Staša; Bons, Roger W. H.; Smit, Koen; Heikkilä, Marikka (Hg.): 37th Bled eConference Resilience Through Digital Innovation: Enabling the Twin Transition, June 9 – 12, 2024, Bled, Slovenia, Conference Proceedings. Bled, Slovenia. University of Maribor Press. 2024. 547-562. doi:10.18690/um.fov.4.2024.
Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper) -
Malin, C.; Fleiß, J.; Seeber, I.; Kubicek, B.; Kupfer, K.; Thalmann,
The Application of AI in Digital HRM – An Experiment on Human Decision-Making in Personnel Selection. ..
In: Business Process Management Journal: developing re-engineering towards integrated process management. forthcoming. 2024. ..
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Fleiß, Jürgen; Kubicek, Bettina; Thalmann, Stefan
Better the Devil You Don’t Know. Perceived Discrimination Increases Positive Evaluation of AI Recruiting Decisions..
In: Proceedings of the International Conference for Information Systems (ICIS). 17. 2024. ..
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Pletzl, Sabrina; Haberl, Armin; Ross-Hellauer, Tony; Thalmann, Stefan
Reproducible AutoML: An Assessment of Research Reproducibility of No-Code AutoML Tools..
In: Wirtschaftsinformatik 2024 (Hg.): Wirtschaftsinformatik 2024 Proceedings. Würzburg. Universität Würzburg. 2024. 95..
Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper) -
Vuković, Matej; Koutroulis, Georgios; Mutlu, Belgin; Krahwinkler, Petra; Thalmann, Stefan
Local machine learning model-based multi-objective optimization for managing system interdependencies in production: A case study from the ironmaking industry..
In: Engineering Applications of Artificial Intelligence. 133 (2024) 108099,-. 2024. -. doi:10.1016/j.engappai.2024.108099.
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Ehret, Michael; Thalmann, Stefan
Real-time Service-Ecosystems: Institutional Voids and Governance Implications..
In: Niemann, Rainer; Wendland, Matthias; Zollner, Johannes; ; (Hg.): Smart Regulation: Quick Data or Big Data? Tübingen. Mohr Siebeck. 2024. 61-85. doi:10.1628/978-3-16-162203-8.
Forschung: Beitrag in Sammelwerk/Buch > Buchkapitel -
Vuković, Matej; Haferlbauer, Paul; Mutlu, Belgin; Thalmann, Stefan
Unveiling Operational Dynamics: Causally Interpretable Clustering for Understanding the Usage of Plastic Injection Molding Machines..
In: IEEE Computer Society (Hg.): 26th International Conference on Business Informatics (CBI). Los Alamitos, CA, USA. IEEE Computer Society. 2024. 218-227. doi:10.1109/CBI62504.2024.00033.
Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper)