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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Polzer, Anna; Aramburu Goya, Nekane; Cordes, Ann-Kristin; Ramos, Isabel; Thalmann, Stefan;
Collaborative Development Of AI Capabilities In SME..
In: European Conference on Information Systems (ECIS 2023) Workshop (Hg.): Democratization of IT through Low Code Development Platforms - A Dream Coming True or Same Same but Different? . Kristiansand. ECIS Workshop. 2023. online..
Forschung: Beitrag in Sammelwerk/Buch > Kurzbeitrag -
Christoph G. Schuetz; Matt Selway; Stefan Thalmann; Michael Schrefl
Discovering Actionable Knowledge for Industry 4.0: From Data Mining to Predictive and Prescriptive Analytics..
In: Birgit Vogel-Heuser; ; Manuel Wimmer (Hg.): Digital TransformationCore Technologies and Emerging Topics from a Computer Science Perspective. Berlin, Heidelberg. Springer. 2023. https://link.springer.com/chapter/10.1007/978-3-662-65004-2_14..
Forschung: Beitrag in Sammelwerk/Buch > Originalbeitrag/Fachbeitrag -
Somer, Paul; Thalmann, Stefan
Risk Management of AI in Industry: a Literature Review. Madrid. Proceedings of the 15th Mediterranean Conference on Information Systems. 2023..
Forschung: Andere Veröffentlichung > Wissenschaftliche Veröffentlichung -
Thalmann, Stefan
Empowering Business Experts in Exploring Datasets using AutoML. Leoben/Virtuell. 18.11.2022..
Transfer: Vortrag > Hauptbeitrag -
Thalmann, Stefan
eXplainable AI: Promises and Challenges in Auditing of AI. Graz. 15.11.2022..
Transfer: Vortrag > Hauptbeitrag -
Thalmann, Stefan
Challenges of the Black Box: Validating AI and assessing its impact. Ljubljana . 27.10.2022..
Forschung: Vortrag > Hauptbeitrag -
Collaborative Development of AI capabilities (CoDeAI)
Laufzeit: 01.10.2022 - 30.09.2024 GeldgeberIn: EU (Europäische Kommission)
Weiteres Projekt (laufend) > Drittmittelprojekt -
Probando – Smartes Matching und Market Research
Laufzeit: 01.10.2022 - 30.06.2023 GeldgeberIn: FFG (Österr. Forschungsförderungsgesellschaft)
Weiteres Projekt (abgeschlossen) > Drittmittelprojekt -
Otrel-Cass, Kathrin; Thalmann, Stefan
Lernspiel "Digital? Sicher!". In: ORF Steiermark Heute. 15.09.2022.
Transfer: Beitrag in den Medien -
Thalmann, Stefan
Caution or Trust in AI? How to design XAI in sensitive Use Cases? Minneapolis, Minnesota, USA / Vereinigte Staaten. 11.08.2022..
Forschung: Vortrag > Hauptbeitrag -
Thalmann, Stefan
BePrepared: Be Prepared for Supply Chain Risks in SMEs. Wiesbaden . 18.07.2022..
Forschung: Vortrag > Hauptbeitrag -
Ehret, Michael; Thalmann, Stefan
Institutional Voids and Governance implications of Real-time Data-Ecosystems. Graz. 01.07.2022..
Forschung: Vortrag > Hauptbeitrag -
Thalmann, Stefan
Challenges of the Black Box: Validating AI and assessing its impact in regulated industries. Grenoble. 06.05.2022..
Forschung: Vortrag > Hauptbeitrag -
Die Aufbereitung von großen durch Chatbots gesammelten Datenmengen für die Entscheidungsunterstützung von Personalist*innen. (BotRec)
Laufzeit: 01.05.2022 - 31.03.2023 GeldgeberIn: sonstige
Weiteres Projekt (abgeschlossen) > Universitätsintern finanziertes Projekt -
Gashi, Milot; Thalmann, Stefan
No Time to Crash: Visualizing Interdependencies for Optimal MaintenanceScheduling. Barcelona. 26.04.2022..
Forschung: Vortrag > Hauptbeitrag -
Thalmann, Stefan
Künstliche Intelligenz (KI) und Vertrauen – sollte KI auch in sensiblen Bereichen eingesetzt werden? Graz. 24.01.2022..
Transfer: Vortrag > Hauptbeitrag -
Gashi, Milot; Thalmann, Stefan
Decision support for multi-component systems: visualizing interdependencies for predictive maintenance. Virtuell. 05.01.2022..
Forschung: Vortrag > Hauptbeitrag -
Polzer, Anna Katharina; Fleiß, Jürgen; Ebner, Thomas; Kainz, Philipp; Koeth, Christoph; Thalmann, Stefan
Validation of AI-based Information Systems for Sensitive Use Cases: Using an XAI Approach in Pharmaceutical Engineering..
In: Proceedings of the Annual Hawaii International Conference on System Sciences. 55. 2022. 1500-1509. doi:10.24251/HICSS.2022.186.
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Otrel-Cass, Kathrin; Thalmann, Stefan; Pammer-Schindler, Viktoria; Fasching, Michael; Cicchinelli, Analia; Griesbacher, Eva; Malin, Christine; Mayr, Julia; Wertner, Alfred; Doppelreiter, Thomas
„Digital? Sicher!“Lern-App zur Steigerung digitalerKompetenzen von Jugendlichen. Graz. Universität Graz. 2022..
Forschung: Andere Veröffentlichung > Bericht -
Zeiringer, Johannes; Thalmann, Stefan
Knowledge sharing and protection in data-centric collaborations: An exploratory study..
In: Knowledge Management Research & Practice. 20,3. 2022. 436-448. doi:10.1080/14778238.2021.1978886.
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Polzer, Anna Katharina; Fleiß, Jürgen; Thalmann, Stefan; Kainz Phillip; Brandstetter, Peter; Köth, Christoph
Explainable AI für die KI-Validierung in der aseptischen Arzneimittelproduktion..
In: pharmind. 84,4. 2022. 541-545..
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Anika Kloker; Jürgen Fleiß; Christoph Koeth; Thomas Kloiber; Patrick Ratheiser; Stefan Thalmann
Caution or Trust in AI? How to design XAI in sensitive Use Cases?.
In: AMCIS 2022 Proceedings. 2022. 2022. 1-15..
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
sabel Ramos, Klaus North, Stefan Thalmann, Nekane Aramburu, Andreas Hermann, Karin Gräslund, Victor Barros
[PDF] from hawaii.eduUsing Simulation to Leverage Digital Transformation of SMEs: A European Perspective..
In: Proceedings of the Annual Hawaii International Conference on System Sciences. 55. 2022. 4889-4898..
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Milot Gashi, Matej Vuković, Nikolina Jekic, Stefan Thalmann, Andreas Holzinger, Claire Jean-Quartier, Fleur Jeanquartier
State-of-the-Art Explainability Methods with Focus on Visual Analytics Showcased by Glioma Classification..
In: BioMedInformatics. 2,1. 2022. 139-158. doi:10.3390/biomedinformatics2010009.
Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag -
Matej Vukovic, Dieter Bettinger, Georgios Koutroulis, Petra Krahwinkler, Belgin Mutlu, Martin Schaler, Christian Tauber, Stefan Thalmann
Interpretable Deep Learning Techniques and Meta Information for Automated Decision Making in Ironmaking Plants..
In: AISTech 2022 (Hg.): Proceedings of the Iron & Steel Technology Conference. Pittsburgh, USA. AISTech 2022. 2022. 125-136..
Forschung: Beitrag in Sammelwerk/Buch > Originalbeitrag/Fachbeitrag