Univ.-Prof. Dipl.-Wirt.-Inf. Dr. Stefan Thalmann

Bereichsleiter Information Systems

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.

Stefan Thalmann ©wildundwunderbar
©wildundwunderbar

Links:

 

Short-CV

Since 2018Professor for Business Analytics and Data Science at the Karl-Franzens University of Graz.
2016 - 2018Assistant professor at the Graz University of Technology, Institute for Interactive Systems and Data Science.
2017 - 2018Area manager for the area “Cognitive Decision Support” at the Comet Competence Center “Pro2Future”.
2016 - 2018Senior researcher at the Comet Competence Center “Know Center”.
2011 - 2018Lecturer at University of applied sciences Kufstein Tirol, Austria, for Knowledge Management in the master program „Enterprise  Resource Planning Systems and Business Process Management”.
2011 - 2017Assistant professor at the University of Innsbruck, School of Management, Department of Information Systems, Production and Logistics Management, Information Systems.
2012 - 2014Contract professor at the Free University of Bolzano, Italy for „Data and Information Management“ in the bachelor program “Tourism, Sport and Event Management”.
2007 - 2011Research assistant at the University of Innsbruck, School of Management, Department of Information Systems, Production and Logistics Management, Information Systems.
2011Visiting researcher at the University of Jyväskylä (Finnland).
2008Visiting researcher at the London Metropolitan University (UK). 
2006 - 2007Research assistant at the Martin-Luther-University, Halle-Wittenberg, Chair for Information Systems, Information Management. 

 

Projekte und Publikationen

  • 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: N/A (Hg.): Digit 2023 Proceedings, 14. Atlanta, GA. Association for Information Systems (AIS). 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. Maribor. University of Maribor University 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
  • Koenigstorfer, Florian; Krieger, Felix Friedrich Anton; Thalmann, Stefan
    Bridging AI Development and Compliance: Design Principles for the Documentation of AI.
    In: N/A (Hg.): ECIS 2024 Proceedings - 32nd European Conference on Information Systems (ECIS 2024), 13. Atlanta, GA, USA. Association for Information Systems (AIS). 2024. 1-16.
    Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper)
  • 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: Fettke, Peter; Weigand, Hans; Frank, Ulrich; Huemer, Christian; Schnellmann, Marianne (Hg.): 2024 26th International Conference on Business Informatics (CBI). Los Alamitos, CA. IEEE Computer Society. 2024. 218-227. doi:10.1109/CBI62504.2024.00033
    Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper)
  • Jesenko, Berndt; Thalmann, Stefan
    TOOL SUPPORT FOR DATA-DRIVEN SERVICE INNOVATION: A SYSTEMATIC LITERATURE REVIEW.
    In: International Journal of Innovation Management. 28,07/08. 2024. 2430004.
    Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag
  • Michael Fruhwirth, Viktoria Pammer-Schindler, Thalmann, Stefan
    Knowledge Leaks in Data-Driven Business Models? Exploring Different Types of Knowledge Risks and Protection Measures.
    In: Schmalenbach Journal of Business Research. 76,3. 2024. 357-396.
    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: N/A (Hg.): ICIS 2024 Proceedings - Proceedings of the 45th International Conference on Information Systems (ICIS), 17. Atlanta, GA, USA. Association for Information Systems (AIS) . 2024. 1-17.
    Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper)
  • Thalmann, Stefan
    Empowering Domain Experts in Developing AI: Challenges of bottom-up ML development platforms. Hyderabad. 10.12.2023.
    Forschung: Vortrag > Hauptbeitrag
  • Thalmann, Stefan
    Chancen und Herausforderungen der KI-Governance. Graz. 24.11.2023.
    Transfer: Vortrag > Beitrag
  • Thalmann, Stefan
    Empowering Domain Experts in Developing AI: Challenges of bottom-up ML development platforms. Grenoble. 19.10.2023.
    Transfer: Vortrag > Hauptbeitrag
  • Thalmann, Stefan
    CoDeAi Project Strategy. San Sebastian. 09.10.2023.
    Forschung: Vortrag > Hauptbeitrag
  • VEKIP-Verantwortungsvoller Einsatz von KI im Personalmanagement
    Laufzeit: 01.10.2023 - 30.09.2024
    GeldgeberIn: sonstige öffentlich-rechtliche Einrichtungen
    Weiteres Projekt (abgeschlossen) > Drittmittelprojekt
  • Thalmann, Stefan
    Strategy of ML4DOMEX. Minho, Portugal. 25.09.2023.
    Forschung: Vortrag > Hauptbeitrag
  • Thalmann, Stefan; Zollner, Johannes; Barnard, Gwendolin; Dolezal, Eugen; Haberl, Armin; Korp, Maximilian; Kumpitsch, Claudia; Polzer, Anna; Wieselmann, Paul
    Smarte Regeln für KI? Forum Smart Regulation zum AI-Act der Europäischen Union. UNICORN Startup & Innovation Hub @Uni Graz. 05.07.2023.
    Forschung: Vortrag > Hauptbeitrag
  • Thalmann, Stefan
    Smart Implementation of the AI Act. graz. 05.07.2023.
    Forschung: Vortrag > Hauptbeitrag
  • Thalmann, Stefan
    Verantwortungsvoller Einsatz von KI im Personalwesen
    Laufzeit: 01.07.2023 - 30.06.2024
    GeldgeberIn: sonstige öffentlich-rechtliche Einrichtungen
    Drittmittelprojekt (§§ 26-28 UG) (abgeschlossen)
  • Evaluating the Impact of AI Quality Control
    Laufzeit: 01.07.2023 - 31.12.2023
    GeldgeberIn: Unternehmen
    Weiteres Projekt (abgeschlossen) > Kooperationsprojekt
  • Ehret, Michael/ Thalmann, Stefan
    Marketing and the Governance of Real-time Data-Ecosystems. Ravello/ Italien. 09.06.2023.
    Forschung: Vortrag > Beitrag
  • Thalmann, Stefan
    AutoML as facilitator of AI adoption in SMEs: an analysis of AutoML use cases . graz. 30.05.2023.
    Forschung: Vortrag > Hauptbeitrag
  • Thalmann, Stefan
    Strategy of the CODEAI Project. Graz. 19.04.2023.
    Forschung: Vortrag > Hauptbeitrag