Prof. Dr. Matthias Stürmer

Head of the Public Sector Transformation Institute

Member of the management team of the Business School at BFH

Leading the institute with over 60 staff members and 4 research groups

Research and consulting services in the areas below

Lectures in the Master’s programs in Digital Business Administration and Circular Innovation and Sustainability

Co-Director of the CAS in Public Procurement

Speaker and moderator at conferences, workshops, and other events organized by the Institute

Various association mandates and participation in committees (see “Memberships”)

Always open and curious about concrete ideas, innovative initiatives, impactful projects, inspiring people, and much more

Rasiah, V., Stern, R., Matoshi, V., Stürmer, M., Chalkidis, I., Ho, D. E., & Niklaus, J. (2023). SCALE: Scaling up the Complexity for Advanced Language Model Evaluation. Data-centric Machine Learning Workshop (DMLR) @ International Conference on Learning Representations (ICLR). https://doi.org/10.24451/arbor.19713

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Stürmer, M. (2023). Open by default als Gesetz. In SocietyByte – Wissenschaftsmagazin der Berner Fachhochschule. Berner Fachhochschule, Wirtschaft. https://doi.org/10.24451/arbor.20095

Stürmer, M., Tiede, M. A., Nussbaumer, J. M., & Wäspi, F. (2023). Warum digitaler und nachhaltiger Wandel gleichzeitig stattfinden muss. In SocietyByte – Wissenschaftsmagazin der Berner Fachhochschule. Berner Fachhochschule, Wirtschaft. https://doi.org/10.24451/arbor.20086

Stürmer, M., Tiede, M. A., Nussbaumer, J. M., & Wäspi, F. (2023). On Digital Sustainability and Digital Public Goods (P. Jankowski, A. Höfner, M. L. Hoffmann, F. Rhode, R. Rehak, & J. Graf, Eds.). Technische Universität Berlin. https://doi.org/10.24451/arbor.19678

Rasiah, V., Stern, R., Matoshi, V., Stürmer, M., Chalkidis, I., Ho, D. E., & Niklaus, J. (2023). SCALE: Scaling up the Complexity for Advanced Language Model Evaluation. Data-centric Machine Learning Workshop (DMLR) @ International Conference on Learning Representations (ICLR). https://doi.org/10.24451/arbor.19713

Niklaus, J., Matoshi, V., Stürmer, M., Chalkidis, I., & Ho, D. E. (2024). MultiLegalPile: A 689GB Multilingual Legal Corpus. Annual Meeting of the Association for Computational Linguistics (ACL). https://doi.org/10.24451/arbor.19714

Brugger, T., Stürmer, M., & Niklaus, J. (2023). MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset. 19th International Conference on Artificial Intelligence and Law - ICAIL. https://doi.org/10.24451/arbor.19715

Stoltze-Siebmann, A.-C. (2023). “Wir müssen Bias aus Sprachmodellen entfernen”: eine Podcastfolge über KI in Verwaltung und Justiz. In SocietyByte - Wissenschaftsmagazin der Berner Fachhochschule. Berner Fachhochschule, Wirtschaft. https://doi.org/10.24451/arbor.19057

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Niklaus, J., Stürmer, M., & Chalkidis, I. (2022). An empirical study on cross-x transfer for legal judgment prediction. Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing. Association for Computational Linguistics. https://doi.org/10.24451/arbor.19687

Stürmer, M. (2022). Digitale Souveränität: mehr als ein Hype. In SocietyByte - Wissenschaftsmagazin der Berner Fachhochschule. Berner Fachhochschule, Wirtschaft. https://doi.org/10.24451/arbor.17269

Niklaus, J., Chalkidis, I., & Stürmer, M. (2021). Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark (N. Aletras, I. Androutsopoulos, L. Barrett, C. Goanta, & D. Preotiuc-Pietro, Eds.). Association for Computational Linguistics. https://doi.org/10.24451/arbor.19665