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Bektas, Alperen; Schumann, René (2021). Using Mobility Profiles for Synthetic Population Generation In: Ahrweiler, Petra; Neumann, Martin (eds.) Advances in Social Simulation. Proceedings of the 15th Social Simulation Conference: 23–27 September 2019. Springer Proceedings in Complexity (pp. 207-219). Springer 10.1007/978-3-030-61503-1_20
Niklaus, Joël; Alberti, Michele; Ingold, Rolf; Stolze, Markus; Koller, Thomas (12 October 2020). Challenging human supremacy: Evaluating monte carlo tree search and deep learning for the trick taking card game jass In: International Conference on Artificial Intelligence and Soft Computing ICAISC 2020. Lecture Notes in Computer Science: Vol. 12416 (pp. 505-517). Springer 10.1007/978-3-030-61534-5_45
Niklaus, Joël; Alberti, Michele; Pondenkandath, Vinaychandran; Ingold, Rolf; Liwicki, Marcus (14 June 2019). Survey of artificial intelligence for card games and its application to the Swiss game Jass In: 2019 6th Swiss Conference on Data Science (SDS). Bern, Switzerland. June 14, 2019. 10.1109/SDS.2019.00-12
Alberti, Michele; Pondenkandath, Vinaychandran; Vogtlin, Lars; Gygli, Marcel; Ingold, Rolf; Liwicki, Marcus (14 June 2019). Improving Reproducible Deep Learning Workflows with DeepDIVA In: 2019 6th Swiss Conference on Data Science (SDS) (pp. 13-18). New York: IEEE 10.1109/SDS.2019.00-14
Alberti, Michele; Pondenkandath, Vinaychandran; Gygli, Marcel; Bouillon, Manuel; Seuret, Mathias; Ingold, Rolf; Liwicki, Marcus (2019). Are You Tampering with My Data? In: Leal-Taixé, Laura; Roth, Stefan (eds.) Computer Vision – ECCV 2018: 15th European Conference: Proceedings, Part II. Lecture Notes in Computer Science: Vol. 11130 (pp. 296-312). Cham: Springer International Publishing 10.1007/978-3-030-11012-3_25
Alberti, Michele; Pondenkandath, Vinaychandran; Gygli, Marcel; Ingold, Rolf; Liwicki, Marcus (8 August 2018). DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments In: 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR) (pp. 423-428). New York: IEEE 10.1109/ICFHR-2018.2018.00080
Niklaus, Joël; Chalkidis, Ilias; Stürmer, Matthias (2 October 2021). Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark In: Aletras, Nikolaos; Androutsopoulos, Ion; Barrett, Leslie; Goanta, Catalina; Preotiuc-Pietro, Daniel (eds.) Proceedings of the Natural Legal Language Processing Workshop 2021. Stroudsburg PA, USA: Association for Computational Linguistics
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Niklaus, Joël; Chalkidis, Ilias; Stürmer, Matthias (2 October 2021). Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark In: Aletras, Nikolaos; Androutsopoulos, Ion; Barrett, Leslie; Goanta, Catalina; Preotiuc-Pietro, Daniel (eds.) Proceedings of the Natural Legal Language Processing Workshop 2021. Stroudsburg PA, USA: Association for Computational Linguistics
Arnautovic, Hanka; Habegger, Anja; Haller, Stephan (2021). Grundlagen der Robotic Process Automation. Stand der Forschung und Diskussion in der Praxis In: Schellinger, Jochen; Tokarski, Kim Oliver; Kissling-Näf, Ingrid (eds.) Digital Business: Analysen und Handlungsfelder in der Praxis (pp. 57-83). Wiesbaden: Springer Fachmedien Wiesbaden 10.1007/978-3-658-32323-3_4
Niklaus, Joël; Chalkidis, Ilias; Stürmer, Matthias (2 October 2021). Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark In: Aletras, Nikolaos; Androutsopoulos, Ion; Barrett, Leslie; Goanta, Catalina; Preotiuc-Pietro, Daniel (eds.) Proceedings of the Natural Legal Language Processing Workshop 2021. Stroudsburg PA, USA: Association for Computational Linguistics
Bektas, Alperen (3 January 2023). An Empirical Analysis of the Perceived Usefulness of Digital Governance Tools among Heterogeneous Swiss Municipalities In: Proceedings of the 56th Hawaii International Conference on System Sciences 2023 (pp. 1880-1889). Honolulu, Hawaii, USA: University of Hawaii at Manoa, Shidler College of Business
Wäspi, Flurina; Bektas, Alperen; Sahi, Amir; Wüst, Anja Cristina; Haller, Stephan (2022). On the Way to Smarter Cities: What Goals and Values Swiss Municipalities Prioritize In: Lecture Notes in Computer Science. Lecture Notes in Computer Science: Vol. 13391 (pp. 451-468). Cham: Springer International Publishing 10.1007/978-3-031-15086-9_29
Bektas, Alperen (2022). Exploring heterogeneity among Swiss households and modeling their mobility demand with the Agent-based computational economics (ACE) approach (Unpublished). (Dissertation, Université de Neuchâtel, Faculté des sciences économiques)
Bektas, Alperen; Haller, Stephan (26 June 2021). InoVille 4.0 – Eine Plattform für strategische Governance in Smart Cities und Smart Municipalities In: TOGI-Symposium zur nachhaltigen Digitalisierung von Staat, Städten und Verwaltung. Friedrichshafen, Germany. 23.-24.06.2021.
Bektas, Alperen; Piana, Valentino; Schumann, René (2021). A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model Springer Nature Business & Economics, 1(6) Springer Nature 10.1007/s43546-021-00083-4
Bektas, Alperen; Schumann, René (2021). Using Mobility Profiles for Synthetic Population Generation In: Ahrweiler, Petra; Neumann, Martin (eds.) Advances in Social Simulation. Proceedings of the 15th Social Simulation Conference: 23–27 September 2019. Springer Proceedings in Complexity (pp. 207-219). Springer 10.1007/978-3-030-61503-1_20
Bektas, Alperen; Schumann, René (22 September 2019). Using Mobility Profiles for Synthetic Population Generation In: Social Simulation Conference (SSC). Mainz Germany. 23-27. September 2019.
Bektas, Alperen (14 June 2019). How to Optimize Gower Distance Weights for the k-Medoids Clustering Algorithm to Obtain Mobility Profiles of the Swiss Population In: Swiss Conference on Data Science (SDS) (pp. 51-56). IEEE 10.1109/SDS.2019.000-8
Bektas, Alperen; Nguyen, Khoa; Piana, Valentino; Schumann, René (June 2018). People-centric policies for decarbonization: Testing psycho-socio-economic approaches by an agent-based model of heterogeneous mobility demand In: 24th Annual Conference on Computing in Economics and Finance. Milan, Italy. June 19-21, 2018.
Bektas, Alperen; Nguyen, Khoa; Schumann, René (April 2018). Can Agent-Based Computational Economics Mimic Neoclassical Demand Curve? In: Fifth International Symposium in Computational Economics and Finance (ISCEF). Paris, France. 12-14 April 2018.
Bieser, Jan C.T.; Coroamă, Vlad C.; Bergmark, Pernilla; Stürmer, Matthias (2024). The greenhouse gas (GHG) reduction potential of ICT: A critical review of telecommunication companies’ GHG enablement assessments Journal of Industrial Ecology, 28(4), pp. 1-15. Wiley-Blackwell 10.1111/jiec.13524
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Semo, Gil; Bernsohn, Dor; Hagag, Ben; Hayat, Gila; Niklaus, Joël (1 November 2022). ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US In: Proceedings of the Natural Legal Language Processing Workshop 2022 (pp. 31-46). Association for Computational Linguistics 10.18653/v1/2022.nllp-1.3
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Bieser, Jan (6 August 2024). Kann uns Künstliche Intelligenz beim Klimaschutz helfen? = Can artificial intelligence help us protect the climate? SocietyByte – Wissenschaftsmagazin der Berner Fachhochschule Berner Fachhochschule, Wirtschaft
Bieser, Jan (24 June 2024). AI and Climate Protection: Research Gaps and Needs to Align Machine Learning with Greenhouse Gas Reductions In: 2024 ICT for Sustainability Conference. IEEE
Bieser, Jan Weissenberger-Eibl, Marion, A. (ed.) (2024). Prof. Dr. Jan Bieser: Wie nachhaltig ist die Digitalisierung? [Audio]. In: Weissenberger-Eibl, Marion, A. (ed.) Podcast: Zukünfte2Go: Ein Blick ins Neue mit und von Univ.-Prof. Dr. Marion Weissenberger-Eibl (22).
Bieser, Jan (21 December 2023). Warum Big Techs Klimaversprechen in der digitalen Realität an ihre Grenzen stossen Neue Zürcher Zeitung, 244(297), p. 18. Neue Zürcher Zeitung
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Bieser, Jan C.T.; Coroamă, Vlad C.; Bergmark, Pernilla; Stürmer, Matthias (2024). The greenhouse gas (GHG) reduction potential of ICT: A critical review of telecommunication companies’ GHG enablement assessments Journal of Industrial Ecology, 28(4), pp. 1-15. Wiley-Blackwell 10.1111/jiec.13524
Alberti, Michele; Pondenkandath, Vinaychandran; Gygli, Marcel; Bouillon, Manuel; Seuret, Mathias; Ingold, Rolf; Liwicki, Marcus (2019). Are You Tampering with My Data? In: Leal-Taixé, Laura; Roth, Stefan (eds.) Computer Vision – ECCV 2018: 15th European Conference: Proceedings, Part II. Lecture Notes in Computer Science: Vol. 11130 (pp. 296-312). Cham: Springer International Publishing 10.1007/978-3-030-11012-3_25
Seuret, Mathias; Bouillon, Manuel; Simistira, Fotini; Gygli, Marcel; Liwicki, Marcus; Ingold, Rolf (27 April 2018). A Semi-automatized Modular Annotation Tool for Ancient Manuscript Annotation In: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS) (pp. 340-344). New York: IEEE 10.1109/DAS.2018.80
Zhongliang, Zhao; Carrera, Jose; Niklaus, Joël; Braun, Torsten (18 June 2018). Machine Learning-based Real-Time Indoor Landmark Localization In: Chowdhury, K.; Di Felice, M.; Matta, I.; Sheng, B.; (eds.) 16th International Conference on Wired/Wireless Internet Communication. Lecture Notes in Computer Science: Vol. 10866 (pp. 95-106). Springer 10.1007/978-3-030-02931-9_8
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Brugger, Tobias; Stürmer, Matthias; Niklaus, Joël (2 May 2023). MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset In: 19th International Conference on Artificial Intelligence and Law - ICAIL. Braga, Portugal. 19th-23rd June 2023. 10.48550/arXiv.2305.01211
Bieser, Jan Weissenberger-Eibl, Marion, A. (ed.) (2024). Prof. Dr. Jan Bieser: Wie nachhaltig ist die Digitalisierung? [Audio]. In: Weissenberger-Eibl, Marion, A. (ed.) Podcast: Zukünfte2Go: Ein Blick ins Neue mit und von Univ.-Prof. Dr. Marion Weissenberger-Eibl (22).
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Zhongliang, Zhao; Carrera, Jose; Niklaus, Joël; Braun, Torsten (18 June 2018). Machine Learning-based Real-Time Indoor Landmark Localization In: Chowdhury, K.; Di Felice, M.; Matta, I.; Sheng, B.; (eds.) 16th International Conference on Wired/Wireless Internet Communication. Lecture Notes in Computer Science: Vol. 10866 (pp. 95-106). Springer 10.1007/978-3-030-02931-9_8
Niklaus, Joël; Matoshi, Veton; Stürmer, Matthias; Chalkidis, Ilias; Ho, Daniel E (3 June 2024). MultiLegalPile: A 689GB Multilingual Legal Corpus In: Annual Meeting of the Association for Computational Linguistics (ACL).
Niklaus, Joël; Matoshi, Veton; Rani, Pooja; Galassi, Andrea; Stürmer, Matthias; Chalkidis, Ilias (10 December 2023). Lextreme: A multi-lingual and multi-task benchmark for the legal domain In: Findings of the Association for Computational Linguistics: EMNLP 2023. Ithaca, NY: Cornell University 10.18653/v1/2023.findings-emnlp.200
Rasiah, Vishvaksenan; Stern, Ronja; Matoshi, Veton; Stürmer, Matthias; Chalkidis, Ilias; Ho, Daniel E; Niklaus, Joël (15 June 2023). SCALE: Scaling up the Complexity for Advanced Language Model Evaluation In: Data-centric Machine Learning Workshop (DMLR) @ International Conference on Learning Representations (ICLR). 10.48550/arXiv.2306.09237
Niklaus, Joël; Stürmer, Matthias; Chalkidis, Ilias (23 November 2022). An empirical study on cross-x transfer for legal judgment prediction In: 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 (pp. 32-46). Stroudsburg PA, USA: Association for Computational Linguistics
Niklaus, Joël; Chalkidis, Ilias; Stürmer, Matthias (2 October 2021). Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark In: Aletras, Nikolaos; Androutsopoulos, Ion; Barrett, Leslie; Goanta, Catalina; Preotiuc-Pietro, Daniel (eds.) Proceedings of the Natural Legal Language Processing Workshop 2021. Stroudsburg PA, USA: Association for Computational Linguistics
Zhongliang, Zhao; Carrera, Jose; Niklaus, Joël; Braun, Torsten (18 June 2018). Machine Learning-based Real-Time Indoor Landmark Localization In: Chowdhury, K.; Di Felice, M.; Matta, I.; Sheng, B.; (eds.) 16th International Conference on Wired/Wireless Internet Communication. Lecture Notes in Computer Science: Vol. 10866 (pp. 95-106). Springer 10.1007/978-3-030-02931-9_8
Bieser, Jan C.T.; Coroamă, Vlad C.; Bergmark, Pernilla; Stürmer, Matthias (2024). The greenhouse gas (GHG) reduction potential of ICT: A critical review of telecommunication companies’ GHG enablement assessments Journal of Industrial Ecology, 28(4), pp. 1-15. Wiley-Blackwell 10.1111/jiec.13524
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Zhongliang, Zhao; Carrera, Jose; Niklaus, Joël; Braun, Torsten (18 June 2018). Machine Learning-based Real-Time Indoor Landmark Localization In: Chowdhury, K.; Di Felice, M.; Matta, I.; Sheng, B.; (eds.) 16th International Conference on Wired/Wireless Internet Communication. Lecture Notes in Computer Science: Vol. 10866 (pp. 95-106). Springer 10.1007/978-3-030-02931-9_8
Dungga Winterleitner, Angelina; Weissenfeld, Katinka; Riesch, Markus (2018). Barrierefrei hilft allen Kommunalmagazin(5), pp. 40-41. Docu Media Schweiz GmbH
Höhn, Sebastian; Zurkinden, Max; Neuroni, Alessia; Spichiger, Andreas (2021). Good Data Governance als Hebel der Transformation im öffentlichen Sektor In: Stember, J.; Eixelsberger, W.; Spichiger, A.; Neuroni, A.; Habbel, FR.; Wundara, M. (eds.) Aktuelle Entwicklungen zum E-Government : Neue Impulse und Orientierungen in der digitalen Transformation der öffentlichen Verwaltung (pp. 225-243). Springer Gabler 10.1007/978-3-658-33586-1_11
Stember, Jürgen; Eixelsberger, Wolfgang; Spichiger, Andreas; Neuroni, Alessia; Habbel, Franz-Reinhard; Wundara, Manfred (eds.) (2021). Aktuelle Entwicklungen zum E-Government : Neue Impulse und Orientierungen in der digitalen Transformation der öffentlichen Verwaltung Springer Gabler 10.1007/978-3-658-33586-1
Estermann, Beat; Fraefel, Marianne; Neuroni, Alessia; Vogel, Jürgen (2018). Conceptualizing a national data infrastructure for Switzerland Information Polity, 23(1), pp. 43-65. IOS Press 10.3233/IP-170033
Estermann, Beat (2018). Development Paths Towards Open Government. An Empirical Analysis Among Heritage Institutions Government Information Quarterly, 35(4), pp. 599-612. Elsevier 10.1016/j.giq.2018.10.005
Neuroni, Alessia; Fraefel, Marianne; Estermann, Beat; Jarchow, Thomas; Golliez, Andre (2016). Exploring the Notion of a National Data Infrastructure and the Governance Issues Surrounding It In: Electronic Government and Electronic Participation. Innovation and the Public Sector: Vol. 23 (pp. 191-199). IOS Press Ebooks
Neuroni, Alessia; Estermann, Beat; Fraefel, Marianne; Riedl, Reinhard (2014). Kollaboration im Schweizerischen OGD-Bereich - Illustriert am Beispiel von Standards. In: Beiträge zur Verwaltungsinformatik: Fachtagung Verwaltungsinformatik vom 20.- 21.03.2014 in Berlin 19 (pp. 57-61). Hochschule für Wirtschaft und Recht Berlin
Estermann, Beat (2014). Diffusion of open data and crowdsourcing among heritage institutions: results of a pilot survey in Switzerland. Journal of Theoretical and Applied Electronic Commerce Research, 9(3), pp. 15-31. 10.4067/S0718-18762014000300003
Niklaus, Joël; Falkner, Michael; Krebs, Christine; Persello, Luca; Klöppel, Stefan; Nef, Tobias; Urwyler, Prabitha (2021). Application of eye tracking in puzzle games for adjunct cognitive markers: pilot observational study in older adults JMIR Serious Games, 9(1), e24151. JMIR Publications 10.2196/24151
Lüthi, Philipp; Gagnaux, Thibault; Gygli, Marcel (2020). Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets In: Fiedewald, Michael; Önen, Melek; Lievens, Eva; Krenn, Stephan; Fricker, Samuel (eds.) 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School: Privacy and Identity Management: Data for Better Living: AI and Privacy: Revised Selected Papers. IFIP Advances in Information and Communication Technology: Vol. 576 (pp. 411-426). Cham: Springer International Publishing 10.1007/978-3-030-42504-3_26
Gygli, Marcel (2020). DIVAServices: Transforming Document Analysis Methods into Web Services In: Fischer, Andreas; Liwicki, Marcus; Ingold, Rolf (eds.) Handwritten Historical Document Analysis, Recognition, and Retrieval: State of the Art and Future Trends. Series in Machine Perception and Artificial Intelligence: Vol. 89 (pp. 101-119). Singapur: World Scientific 10.1142/9789811203244_0007
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Estermann, Beat; Fraefel, Marianne; Neuroni, Alessia; Vogel, Jürgen (2018). Conceptualizing a national data infrastructure for Switzerland Information Polity, 23(1), pp. 43-65. IOS Press 10.3233/IP-170033
Fraefel, Marianne; Haller, Stephan; Gschwend, Adrian (2017). Big Data in the Public Sector. Linking Cities to Sensors In: 16th IFIP WG 8.5 International Conference, EGOV 2017 10428 (pp. 276-286). Springer 10.1007/978-3-319-64677-0_23
Neuroni, Alessia; Fraefel, Marianne; Estermann, Beat; Jarchow, Thomas; Golliez, Andre (2016). Exploring the Notion of a National Data Infrastructure and the Governance Issues Surrounding It In: Electronic Government and Electronic Participation. Innovation and the Public Sector: Vol. 23 (pp. 191-199). IOS Press Ebooks
Neuroni, Alessia; Estermann, Beat; Fraefel, Marianne; Riedl, Reinhard (2014). Kollaboration im Schweizerischen OGD-Bereich - Illustriert am Beispiel von Standards. In: Beiträge zur Verwaltungsinformatik: Fachtagung Verwaltungsinformatik vom 20.- 21.03.2014 in Berlin 19 (pp. 57-61). Hochschule für Wirtschaft und Recht Berlin
Wimmer, Maria; Neuroni, Alessia; Frecè, Jan Thomas (2 September 2020). Approaches to Good Data Governance in Support of Public Sector Transformation through Once-only In: Electronic Government, 19th IFIP WG 8.5 International Conference, EGOV 2020. Linköping, Sweden. August 31 – September 2.
Lüthi, Philipp; Gagnaux, Thibault; Gygli, Marcel (2020). Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets In: Fiedewald, Michael; Önen, Melek; Lievens, Eva; Krenn, Stephan; Fricker, Samuel (eds.) 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School: Privacy and Identity Management: Data for Better Living: AI and Privacy: Revised Selected Papers. IFIP Advances in Information and Communication Technology: Vol. 576 (pp. 411-426). Cham: Springer International Publishing 10.1007/978-3-030-42504-3_26
Lüthi, Philipp; Gagnaux, Thibault; Gygli, Marcel (2020). Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets In: Fiedewald, Michael; Önen, Melek; Lievens, Eva; Krenn, Stephan; Fricker, Samuel (eds.) 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School: Privacy and Identity Management: Data for Better Living: AI and Privacy: Revised Selected Papers. IFIP Advances in Information and Communication Technology: Vol. 576 (pp. 411-426). Cham: Springer International Publishing 10.1007/978-3-030-42504-3_26
Niklaus, Joël; Matoshi, Veton; Rani, Pooja; Galassi, Andrea; Stürmer, Matthias; Chalkidis, Ilias (10 December 2023). Lextreme: A multi-lingual and multi-task benchmark for the legal domain In: Findings of the Association for Computational Linguistics: EMNLP 2023. Ithaca, NY: Cornell University 10.18653/v1/2023.findings-emnlp.200
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Niklaus, Joël; Giofré, Daniele (13 July 2023). Can we Pretrain a SotA Legal Language Model on a Budget From Scratch? In: Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP) (pp. 158-182). Association for Computational Linguistics 10.18653/v1/2023.sustainlp-1.11
Niklaus, Joël; Chalkidis, Ilias; Stürmer, Matthias (2 October 2021). Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark In: Aletras, Nikolaos; Androutsopoulos, Ion; Barrett, Leslie; Goanta, Catalina; Preotiuc-Pietro, Daniel (eds.) Proceedings of the Natural Legal Language Processing Workshop 2021. Stroudsburg PA, USA: Association for Computational Linguistics
Neuroni, Alessia; Fraefel, Marianne; Estermann, Beat; Jarchow, Thomas; Golliez, Andre (2016). Exploring the Notion of a National Data Infrastructure and the Governance Issues Surrounding It In: Electronic Government and Electronic Participation. Innovation and the Public Sector: Vol. 23 (pp. 191-199). IOS Press Ebooks
Fraefel, Marianne; Haller, Stephan; Gschwend, Adrian (2017). Big Data in the Public Sector. Linking Cities to Sensors In: 16th IFIP WG 8.5 International Conference, EGOV 2017 10428 (pp. 276-286). Springer 10.1007/978-3-319-64677-0_23
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Gygli, Marcel (2020). DIVAServices: Transforming Document Analysis Methods into Web Services In: Fischer, Andreas; Liwicki, Marcus; Ingold, Rolf (eds.) Handwritten Historical Document Analysis, Recognition, and Retrieval: State of the Art and Future Trends. Series in Machine Perception and Artificial Intelligence: Vol. 89 (pp. 101-119). Singapur: World Scientific 10.1142/9789811203244_0007
Lüthi, Philipp; Gagnaux, Thibault; Gygli, Marcel (2020). Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets In: Fiedewald, Michael; Önen, Melek; Lievens, Eva; Krenn, Stephan; Fricker, Samuel (eds.) 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School: Privacy and Identity Management: Data for Better Living: AI and Privacy: Revised Selected Papers. IFIP Advances in Information and Communication Technology: Vol. 576 (pp. 411-426). Cham: Springer International Publishing 10.1007/978-3-030-42504-3_26
Alberti, Michele; Pondenkandath, Vinaychandran; Vogtlin, Lars; Gygli, Marcel; Ingold, Rolf; Liwicki, Marcus (14 June 2019). Improving Reproducible Deep Learning Workflows with DeepDIVA In: 2019 6th Swiss Conference on Data Science (SDS) (pp. 13-18). New York: IEEE 10.1109/SDS.2019.00-14
Alberti, Michele; Pondenkandath, Vinaychandran; Gygli, Marcel; Bouillon, Manuel; Seuret, Mathias; Ingold, Rolf; Liwicki, Marcus (2019). Are You Tampering with My Data? In: Leal-Taixé, Laura; Roth, Stefan (eds.) Computer Vision – ECCV 2018: 15th European Conference: Proceedings, Part II. Lecture Notes in Computer Science: Vol. 11130 (pp. 296-312). Cham: Springer International Publishing 10.1007/978-3-030-11012-3_25
Alberti, Michele; Pondenkandath, Vinaychandran; Gygli, Marcel; Ingold, Rolf; Liwicki, Marcus (8 August 2018). DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments In: 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR) (pp. 423-428). New York: IEEE 10.1109/ICFHR-2018.2018.00080
Gygli, Marcel; Liwicki, Marcus; Ingold, Rolf (27 April 2018). Web Services in Document Image Analysis: Recent Developments on DIVAServices and the Importance of Building an Ecosystem In: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS) (pp. 334-339). New York: IEEE 10.1109/DAS.2018.40
Seuret, Mathias; Bouillon, Manuel; Simistira, Fotini; Gygli, Marcel; Liwicki, Marcus; Ingold, Rolf (27 April 2018). A Semi-automatized Modular Annotation Tool for Ancient Manuscript Annotation In: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS) (pp. 340-344). New York: IEEE 10.1109/DAS.2018.80
Höhn, Sebastian; Zurkinden, Max; Neuroni, Alessia; Spichiger, Andreas (2021). Good Data Governance als Hebel der Transformation im öffentlichen Sektor In: Stember, J.; Eixelsberger, W.; Spichiger, A.; Neuroni, A.; Habbel, FR.; Wundara, M. (eds.) Aktuelle Entwicklungen zum E-Government : Neue Impulse und Orientierungen in der digitalen Transformation der öffentlichen Verwaltung (pp. 225-243). Springer Gabler 10.1007/978-3-658-33586-1_11
Stember, Jürgen; Eixelsberger, Wolfgang; Spichiger, Andreas; Neuroni, Alessia; Habbel, Franz-Reinhard; Wundara, Manfred (eds.) (2021). Aktuelle Entwicklungen zum E-Government : Neue Impulse und Orientierungen in der digitalen Transformation der öffentlichen Verwaltung Springer Gabler 10.1007/978-3-658-33586-1
Arnautovic, Hanka; Habegger, Anja; Haller, Stephan (2021). Grundlagen der Robotic Process Automation. Stand der Forschung und Diskussion in der Praxis In: Schellinger, Jochen; Tokarski, Kim Oliver; Kissling-Näf, Ingrid (eds.) Digital Business: Analysen und Handlungsfelder in der Praxis (pp. 57-83). Wiesbaden: Springer Fachmedien Wiesbaden 10.1007/978-3-658-32323-3_4
Semo, Gil; Bernsohn, Dor; Hagag, Ben; Hayat, Gila; Niklaus, Joël (1 November 2022). ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US In: Proceedings of the Natural Legal Language Processing Workshop 2022 (pp. 31-46). Association for Computational Linguistics 10.18653/v1/2022.nllp-1.3
Haller, Stephan (2024). The State of Digital Twin and Smart City Development in Cities in Japan: Survey Results = 日本の都市におけるデジタルツインとスマートシティ開発の現状 Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation (IPST)
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Müller, Jurek; Haller, Stephan (16 June 2023). The Struggle for Public Values at the Heart of Public Value Creation In: EURAM 2023: Transforming Business for Good. Dublin. 14-16 June 2023.
Bektas, Alperen (3 January 2023). An Empirical Analysis of the Perceived Usefulness of Digital Governance Tools among Heterogeneous Swiss Municipalities In: Proceedings of the 56th Hawaii International Conference on System Sciences 2023 (pp. 1880-1889). Honolulu, Hawaii, USA: University of Hawaii at Manoa, Shidler College of Business
Wäspi, Flurina; Bektas, Alperen; Sahi, Amir; Wüst, Anja Cristina; Haller, Stephan (2022). On the Way to Smarter Cities: What Goals and Values Swiss Municipalities Prioritize In: Lecture Notes in Computer Science. Lecture Notes in Computer Science: Vol. 13391 (pp. 451-468). Cham: Springer International Publishing 10.1007/978-3-031-15086-9_29
Bektas, Alperen; Haller, Stephan (26 June 2021). InoVille 4.0 – Eine Plattform für strategische Governance in Smart Cities und Smart Municipalities In: TOGI-Symposium zur nachhaltigen Digitalisierung von Staat, Städten und Verwaltung. Friedrichshafen, Germany. 23.-24.06.2021.
Arnautovic, Hanka; Habegger, Anja; Haller, Stephan (2021). Grundlagen der Robotic Process Automation. Stand der Forschung und Diskussion in der Praxis In: Schellinger, Jochen; Tokarski, Kim Oliver; Kissling-Näf, Ingrid (eds.) Digital Business: Analysen und Handlungsfelder in der Praxis (pp. 57-83). Wiesbaden: Springer Fachmedien Wiesbaden 10.1007/978-3-658-32323-3_4
Koshizuka, Noboru; Haller, Stephan; Sakamura, Ken (2018). CPaaS.io: An EU-Japan Collaboration on Open Smart-City Platforms Computer, 51(12), pp. 50-58. IEEE 10.1109/MC.2018.2880019
Haller, Stephan (2018). The Smart City Research Project CPaaS.io In: Wagner, Reinhard (ed.) Realizing Smart Cities through Professional Project, Programme and Portfolio Management. IPMA Insight: Vol. 1 (pp. 80-87). Zürich: International Project Management Association (IPMA)
Fraefel, Marianne; Haller, Stephan; Gschwend, Adrian (2017). Big Data in the Public Sector. Linking Cities to Sensors In: 16th IFIP WG 8.5 International Conference, EGOV 2017 10428 (pp. 276-286). Springer 10.1007/978-3-319-64677-0_23
Semo, Gil; Bernsohn, Dor; Hagag, Ben; Hayat, Gila; Niklaus, Joël (1 November 2022). ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US In: Proceedings of the Natural Legal Language Processing Workshop 2022 (pp. 31-46). Association for Computational Linguistics 10.18653/v1/2022.nllp-1.3
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Niklaus, Joël; Matoshi, Veton; Stürmer, Matthias; Chalkidis, Ilias; Ho, Daniel E (3 June 2024). MultiLegalPile: A 689GB Multilingual Legal Corpus In: Annual Meeting of the Association for Computational Linguistics (ACL).
Rasiah, Vishvaksenan; Stern, Ronja; Matoshi, Veton; Stürmer, Matthias; Chalkidis, Ilias; Ho, Daniel E; Niklaus, Joël (15 June 2023). SCALE: Scaling up the Complexity for Advanced Language Model Evaluation In: Data-centric Machine Learning Workshop (DMLR) @ International Conference on Learning Representations (ICLR). 10.48550/arXiv.2306.09237
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Höhn, Sebastian; Zurkinden, Max; Neuroni, Alessia; Spichiger, Andreas (2021). Good Data Governance als Hebel der Transformation im öffentlichen Sektor In: Stember, J.; Eixelsberger, W.; Spichiger, A.; Neuroni, A.; Habbel, FR.; Wundara, M. (eds.) Aktuelle Entwicklungen zum E-Government : Neue Impulse und Orientierungen in der digitalen Transformation der öffentlichen Verwaltung (pp. 225-243). Springer Gabler 10.1007/978-3-658-33586-1_11
Gygli, Marcel (2020). DIVAServices: Transforming Document Analysis Methods into Web Services In: Fischer, Andreas; Liwicki, Marcus; Ingold, Rolf (eds.) Handwritten Historical Document Analysis, Recognition, and Retrieval: State of the Art and Future Trends. Series in Machine Perception and Artificial Intelligence: Vol. 89 (pp. 101-119). Singapur: World Scientific 10.1142/9789811203244_0007
Niklaus, Joël; Alberti, Michele; Ingold, Rolf; Stolze, Markus; Koller, Thomas (12 October 2020). Challenging human supremacy: Evaluating monte carlo tree search and deep learning for the trick taking card game jass In: International Conference on Artificial Intelligence and Soft Computing ICAISC 2020. Lecture Notes in Computer Science: Vol. 12416 (pp. 505-517). Springer 10.1007/978-3-030-61534-5_45
Niklaus, Joël; Alberti, Michele; Pondenkandath, Vinaychandran; Ingold, Rolf; Liwicki, Marcus (14 June 2019). Survey of artificial intelligence for card games and its application to the Swiss game Jass In: 2019 6th Swiss Conference on Data Science (SDS). Bern, Switzerland. June 14, 2019. 10.1109/SDS.2019.00-12
Alberti, Michele; Pondenkandath, Vinaychandran; Vogtlin, Lars; Gygli, Marcel; Ingold, Rolf; Liwicki, Marcus (14 June 2019). Improving Reproducible Deep Learning Workflows with DeepDIVA In: 2019 6th Swiss Conference on Data Science (SDS) (pp. 13-18). New York: IEEE 10.1109/SDS.2019.00-14
Alberti, Michele; Pondenkandath, Vinaychandran; Gygli, Marcel; Bouillon, Manuel; Seuret, Mathias; Ingold, Rolf; Liwicki, Marcus (2019). Are You Tampering with My Data? In: Leal-Taixé, Laura; Roth, Stefan (eds.) Computer Vision – ECCV 2018: 15th European Conference: Proceedings, Part II. Lecture Notes in Computer Science: Vol. 11130 (pp. 296-312). Cham: Springer International Publishing 10.1007/978-3-030-11012-3_25
Alberti, Michele; Pondenkandath, Vinaychandran; Gygli, Marcel; Ingold, Rolf; Liwicki, Marcus (8 August 2018). DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments In: 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR) (pp. 423-428). New York: IEEE 10.1109/ICFHR-2018.2018.00080
Gygli, Marcel; Liwicki, Marcus; Ingold, Rolf (27 April 2018). Web Services in Document Image Analysis: Recent Developments on DIVAServices and the Importance of Building an Ecosystem In: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS) (pp. 334-339). New York: IEEE 10.1109/DAS.2018.40
Seuret, Mathias; Bouillon, Manuel; Simistira, Fotini; Gygli, Marcel; Liwicki, Marcus; Ingold, Rolf (27 April 2018). A Semi-automatized Modular Annotation Tool for Ancient Manuscript Annotation In: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS) (pp. 340-344). New York: IEEE 10.1109/DAS.2018.80
Neuroni, Alessia; Fraefel, Marianne; Estermann, Beat; Jarchow, Thomas; Golliez, Andre (2016). Exploring the Notion of a National Data Infrastructure and the Governance Issues Surrounding It In: Electronic Government and Electronic Participation. Innovation and the Public Sector: Vol. 23 (pp. 191-199). IOS Press Ebooks
Arnautovic, Hanka; Habegger, Anja; Haller, Stephan (2021). Grundlagen der Robotic Process Automation. Stand der Forschung und Diskussion in der Praxis In: Schellinger, Jochen; Tokarski, Kim Oliver; Kissling-Näf, Ingrid (eds.) Digital Business: Analysen und Handlungsfelder in der Praxis (pp. 57-83). Wiesbaden: Springer Fachmedien Wiesbaden 10.1007/978-3-658-32323-3_4
Klein, Eduard; Noppeney, Claus (26 May 2024). Digital Peer Grading in Group Learning: Empirical Insights and Best Practices eLmL 2024 : The Sixteenth International Conference on Mobile, Hybrid, and On-line Learning, pp. 16-21. IARIA
Klein, Eduard (2021). Validation of a Framework for Bias Identification and Mitigation in Algorithmic Systems International Journal on Advances in Software, 14(1&2), pp. 59-70. IARIA
Niklaus, Joël; Falkner, Michael; Krebs, Christine; Persello, Luca; Klöppel, Stefan; Nef, Tobias; Urwyler, Prabitha (2021). Application of eye tracking in puzzle games for adjunct cognitive markers: pilot observational study in older adults JMIR Serious Games, 9(1), e24151. JMIR Publications 10.2196/24151
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Niklaus, Joël; Alberti, Michele; Ingold, Rolf; Stolze, Markus; Koller, Thomas (12 October 2020). Challenging human supremacy: Evaluating monte carlo tree search and deep learning for the trick taking card game jass In: International Conference on Artificial Intelligence and Soft Computing ICAISC 2020. Lecture Notes in Computer Science: Vol. 12416 (pp. 505-517). Springer 10.1007/978-3-030-61534-5_45
Koshizuka, Noboru; Haller, Stephan; Sakamura, Ken (2018). CPaaS.io: An EU-Japan Collaboration on Open Smart-City Platforms Computer, 51(12), pp. 50-58. IEEE 10.1109/MC.2018.2880019
Niklaus, Joël; Falkner, Michael; Krebs, Christine; Persello, Luca; Klöppel, Stefan; Nef, Tobias; Urwyler, Prabitha (2021). Application of eye tracking in puzzle games for adjunct cognitive markers: pilot observational study in older adults JMIR Serious Games, 9(1), e24151. JMIR Publications 10.2196/24151
Lüthi, Philipp; Gagnaux, Thibault; Gygli, Marcel (2020). Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets In: Fiedewald, Michael; Önen, Melek; Lievens, Eva; Krenn, Stephan; Fricker, Samuel (eds.) 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School: Privacy and Identity Management: Data for Better Living: AI and Privacy: Revised Selected Papers. IFIP Advances in Information and Communication Technology: Vol. 576 (pp. 411-426). Cham: Springer International Publishing 10.1007/978-3-030-42504-3_26
Alberti, Michele; Pondenkandath, Vinaychandran; Gygli, Marcel; Bouillon, Manuel; Seuret, Mathias; Ingold, Rolf; Liwicki, Marcus (2019). Are You Tampering with My Data? In: Leal-Taixé, Laura; Roth, Stefan (eds.) Computer Vision – ECCV 2018: 15th European Conference: Proceedings, Part II. Lecture Notes in Computer Science: Vol. 11130 (pp. 296-312). Cham: Springer International Publishing 10.1007/978-3-030-11012-3_25
Lüthi, Philipp; Gagnaux, Thibault; Gygli, Marcel (2020). Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets In: Fiedewald, Michael; Önen, Melek; Lievens, Eva; Krenn, Stephan; Fricker, Samuel (eds.) 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School: Privacy and Identity Management: Data for Better Living: AI and Privacy: Revised Selected Papers. IFIP Advances in Information and Communication Technology: Vol. 576 (pp. 411-426). Cham: Springer International Publishing 10.1007/978-3-030-42504-3_26
Gygli, Marcel (2020). DIVAServices: Transforming Document Analysis Methods into Web Services In: Fischer, Andreas; Liwicki, Marcus; Ingold, Rolf (eds.) Handwritten Historical Document Analysis, Recognition, and Retrieval: State of the Art and Future Trends. Series in Machine Perception and Artificial Intelligence: Vol. 89 (pp. 101-119). Singapur: World Scientific 10.1142/9789811203244_0007
Niklaus, Joël; Alberti, Michele; Pondenkandath, Vinaychandran; Ingold, Rolf; Liwicki, Marcus (14 June 2019). Survey of artificial intelligence for card games and its application to the Swiss game Jass In: 2019 6th Swiss Conference on Data Science (SDS). Bern, Switzerland. June 14, 2019. 10.1109/SDS.2019.00-12
Alberti, Michele; Pondenkandath, Vinaychandran; Vogtlin, Lars; Gygli, Marcel; Ingold, Rolf; Liwicki, Marcus (14 June 2019). Improving Reproducible Deep Learning Workflows with DeepDIVA In: 2019 6th Swiss Conference on Data Science (SDS) (pp. 13-18). New York: IEEE 10.1109/SDS.2019.00-14
Alberti, Michele; Pondenkandath, Vinaychandran; Gygli, Marcel; Bouillon, Manuel; Seuret, Mathias; Ingold, Rolf; Liwicki, Marcus (2019). Are You Tampering with My Data? In: Leal-Taixé, Laura; Roth, Stefan (eds.) Computer Vision – ECCV 2018: 15th European Conference: Proceedings, Part II. Lecture Notes in Computer Science: Vol. 11130 (pp. 296-312). Cham: Springer International Publishing 10.1007/978-3-030-11012-3_25
Alberti, Michele; Pondenkandath, Vinaychandran; Gygli, Marcel; Ingold, Rolf; Liwicki, Marcus (8 August 2018). DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments In: 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR) (pp. 423-428). New York: IEEE 10.1109/ICFHR-2018.2018.00080
Gygli, Marcel; Liwicki, Marcus; Ingold, Rolf (27 April 2018). Web Services in Document Image Analysis: Recent Developments on DIVAServices and the Importance of Building an Ecosystem In: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS) (pp. 334-339). New York: IEEE 10.1109/DAS.2018.40
Seuret, Mathias; Bouillon, Manuel; Simistira, Fotini; Gygli, Marcel; Liwicki, Marcus; Ingold, Rolf (27 April 2018). A Semi-automatized Modular Annotation Tool for Ancient Manuscript Annotation In: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS) (pp. 340-344). New York: IEEE 10.1109/DAS.2018.80
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Lüthi, Philipp; Gagnaux, Thibault; Gygli, Marcel (2020). Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets In: Fiedewald, Michael; Önen, Melek; Lievens, Eva; Krenn, Stephan; Fricker, Samuel (eds.) 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School: Privacy and Identity Management: Data for Better Living: AI and Privacy: Revised Selected Papers. IFIP Advances in Information and Communication Technology: Vol. 576 (pp. 411-426). Cham: Springer International Publishing 10.1007/978-3-030-42504-3_26
Niklaus, Joël; Matoshi, Veton; Stürmer, Matthias; Chalkidis, Ilias; Ho, Daniel E (3 June 2024). MultiLegalPile: A 689GB Multilingual Legal Corpus In: Annual Meeting of the Association for Computational Linguistics (ACL).
Niklaus, Joël; Matoshi, Veton; Rani, Pooja; Galassi, Andrea; Stürmer, Matthias; Chalkidis, Ilias (10 December 2023). Lextreme: A multi-lingual and multi-task benchmark for the legal domain In: Findings of the Association for Computational Linguistics: EMNLP 2023. Ithaca, NY: Cornell University 10.18653/v1/2023.findings-emnlp.200
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Rasiah, Vishvaksenan; Stern, Ronja; Matoshi, Veton; Stürmer, Matthias; Chalkidis, Ilias; Ho, Daniel E; Niklaus, Joël (15 June 2023). SCALE: Scaling up the Complexity for Advanced Language Model Evaluation In: Data-centric Machine Learning Workshop (DMLR) @ International Conference on Learning Representations (ICLR). 10.48550/arXiv.2306.09237
Zhongliang, Zhao; Carrera, Jose; Niklaus, Joël; Braun, Torsten (18 June 2018). Machine Learning-based Real-Time Indoor Landmark Localization In: Chowdhury, K.; Di Felice, M.; Matta, I.; Sheng, B.; (eds.) 16th International Conference on Wired/Wireless Internet Communication. Lecture Notes in Computer Science: Vol. 10866 (pp. 95-106). Springer 10.1007/978-3-030-02931-9_8
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
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Bektas, Alperen; Schumann, René (2021). Using Mobility Profiles for Synthetic Population Generation In: Ahrweiler, Petra; Neumann, Martin (eds.) Advances in Social Simulation. Proceedings of the 15th Social Simulation Conference: 23–27 September 2019. Springer Proceedings in Complexity (pp. 207-219). Springer 10.1007/978-3-030-61503-1_20
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Bektas, Alperen; Nguyen, Khoa; Piana, Valentino; Schumann, René (June 2018). People-centric policies for decarbonization: Testing psycho-socio-economic approaches by an agent-based model of heterogeneous mobility demand In: 24th Annual Conference on Computing in Economics and Finance. Milan, Italy. June 19-21, 2018.
Bektas, Alperen; Nguyen, Khoa; Schumann, René (April 2018). Can Agent-Based Computational Economics Mimic Neoclassical Demand Curve? In: Fifth International Symposium in Computational Economics and Finance (ISCEF). Paris, France. 12-14 April 2018.
Niklaus, Joël; Matoshi, Veton; Stürmer, Matthias; Chalkidis, Ilias; Ho, Daniel E (3 June 2024). MultiLegalPile: A 689GB Multilingual Legal Corpus In: Annual Meeting of the Association for Computational Linguistics (ACL).
Niklaus, Joël; Matoshi, Veton; Rani, Pooja; Galassi, Andrea; Stürmer, Matthias; Chalkidis, Ilias (10 December 2023). Lextreme: A multi-lingual and multi-task benchmark for the legal domain In: Findings of the Association for Computational Linguistics: EMNLP 2023. Ithaca, NY: Cornell University 10.18653/v1/2023.findings-emnlp.200
Niklaus, Joël; Giofré, Daniele (13 July 2023). Can we Pretrain a SotA Legal Language Model on a Budget From Scratch? In: Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP) (pp. 158-182). Association for Computational Linguistics 10.18653/v1/2023.sustainlp-1.11
Rasiah, Vishvaksenan; Stern, Ronja; Matoshi, Veton; Stürmer, Matthias; Chalkidis, Ilias; Ho, Daniel E; Niklaus, Joël (15 June 2023). SCALE: Scaling up the Complexity for Advanced Language Model Evaluation In: Data-centric Machine Learning Workshop (DMLR) @ International Conference on Learning Representations (ICLR). 10.48550/arXiv.2306.09237
Brugger, Tobias; Stürmer, Matthias; Niklaus, Joël (2 May 2023). MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset In: 19th International Conference on Artificial Intelligence and Law - ICAIL. Braga, Portugal. 19th-23rd June 2023. 10.48550/arXiv.2305.01211
Niklaus, Joël; Stürmer, Matthias; Chalkidis, Ilias (23 November 2022). An empirical study on cross-x transfer for legal judgment prediction In: 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 (pp. 32-46). Stroudsburg PA, USA: Association for Computational Linguistics
Semo, Gil; Bernsohn, Dor; Hagag, Ben; Hayat, Gila; Niklaus, Joël (1 November 2022). ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US In: Proceedings of the Natural Legal Language Processing Workshop 2022 (pp. 31-46). Association for Computational Linguistics 10.18653/v1/2022.nllp-1.3
Niklaus, Joël; Chalkidis, Ilias; Stürmer, Matthias (2 October 2021). Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark In: Aletras, Nikolaos; Androutsopoulos, Ion; Barrett, Leslie; Goanta, Catalina; Preotiuc-Pietro, Daniel (eds.) Proceedings of the Natural Legal Language Processing Workshop 2021. Stroudsburg PA, USA: Association for Computational Linguistics
Niklaus, Joël; Falkner, Michael; Krebs, Christine; Persello, Luca; Klöppel, Stefan; Nef, Tobias; Urwyler, Prabitha (2021). Application of eye tracking in puzzle games for adjunct cognitive markers: pilot observational study in older adults JMIR Serious Games, 9(1), e24151. JMIR Publications 10.2196/24151
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Niklaus, Joël; Alberti, Michele; Pondenkandath, Vinaychandran; Ingold, Rolf; Liwicki, Marcus (14 June 2019). Survey of artificial intelligence for card games and its application to the Swiss game Jass In: 2019 6th Swiss Conference on Data Science (SDS). Bern, Switzerland. June 14, 2019. 10.1109/SDS.2019.00-12
Zhongliang, Zhao; Carrera, Jose; Niklaus, Joël; Braun, Torsten (18 June 2018). Machine Learning-based Real-Time Indoor Landmark Localization In: Chowdhury, K.; Di Felice, M.; Matta, I.; Sheng, B.; (eds.) 16th International Conference on Wired/Wireless Internet Communication. Lecture Notes in Computer Science: Vol. 10866 (pp. 95-106). Springer 10.1007/978-3-030-02931-9_8
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Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
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Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
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Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Niklaus, Joël; Alberti, Michele; Pondenkandath, Vinaychandran; Ingold, Rolf; Liwicki, Marcus (14 June 2019). Survey of artificial intelligence for card games and its application to the Swiss game Jass In: 2019 6th Swiss Conference on Data Science (SDS). Bern, Switzerland. June 14, 2019. 10.1109/SDS.2019.00-12
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Niklaus, Joël; Chalkidis, Ilias; Stürmer, Matthias (2 October 2021). Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark In: Aletras, Nikolaos; Androutsopoulos, Ion; Barrett, Leslie; Goanta, Catalina; Preotiuc-Pietro, Daniel (eds.) Proceedings of the Natural Legal Language Processing Workshop 2021. Stroudsburg PA, USA: Association for Computational Linguistics
Niklaus, Joël; Matoshi, Veton; Rani, Pooja; Galassi, Andrea; Stürmer, Matthias; Chalkidis, Ilias (10 December 2023). Lextreme: A multi-lingual and multi-task benchmark for the legal domain In: Findings of the Association for Computational Linguistics: EMNLP 2023. Ithaca, NY: Cornell University 10.18653/v1/2023.findings-emnlp.200
Rasiah, Vishvaksenan; Stern, Ronja; Matoshi, Veton; Stürmer, Matthias; Chalkidis, Ilias; Ho, Daniel E; Niklaus, Joël (15 June 2023). SCALE: Scaling up the Complexity for Advanced Language Model Evaluation In: Data-centric Machine Learning Workshop (DMLR) @ International Conference on Learning Representations (ICLR). 10.48550/arXiv.2306.09237
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Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
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Bektas, Alperen; Piana, Valentino; Schumann, René (2021). A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model Springer Nature Business & Economics, 1(6) Springer Nature 10.1007/s43546-021-00083-4
Bektas, Alperen; Schumann, René (2021). Using Mobility Profiles for Synthetic Population Generation In: Ahrweiler, Petra; Neumann, Martin (eds.) Advances in Social Simulation. Proceedings of the 15th Social Simulation Conference: 23–27 September 2019. Springer Proceedings in Complexity (pp. 207-219). Springer 10.1007/978-3-030-61503-1_20
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Bektas, Alperen; Nguyen, Khoa; Schumann, René (April 2018). Can Agent-Based Computational Economics Mimic Neoclassical Demand Curve? In: Fifth International Symposium in Computational Economics and Finance (ISCEF). Paris, France. 12-14 April 2018.
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
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Seuret, Mathias; Bouillon, Manuel; Simistira, Fotini; Gygli, Marcel; Liwicki, Marcus; Ingold, Rolf (27 April 2018). A Semi-automatized Modular Annotation Tool for Ancient Manuscript Annotation In: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS) (pp. 340-344). New York: IEEE 10.1109/DAS.2018.80
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
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Höhn, Sebastian; Zurkinden, Max; Neuroni, Alessia; Spichiger, Andreas (2021). Good Data Governance als Hebel der Transformation im öffentlichen Sektor In: Stember, J.; Eixelsberger, W.; Spichiger, A.; Neuroni, A.; Habbel, FR.; Wundara, M. (eds.) Aktuelle Entwicklungen zum E-Government : Neue Impulse und Orientierungen in der digitalen Transformation der öffentlichen Verwaltung (pp. 225-243). Springer Gabler 10.1007/978-3-658-33586-1_11
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Gees, Thomas; Stürmer, Matthias; Schwarz Badertscher, Daniel; Fivaz, Jan; Sahi, Amir; Lombard, Annique; Bieser, Jan; Biehl, Lara; Steiner, Marc Daniel; Koch, Rika; De Capitani, Jennifer Maria; Brugger, Tobias; Georgescu, Lena; Pfändler, Stefanie; Müller, Jurek; Geiger, Christian; Haller, Stephan; Anderegg, Urs; Noser, Melanie Eva; Thalheim, Noe Leon; ... (2023). Public Sector Perspectives 2024: Empfehlungen für den öffentlichen Sektor Bern: Berner Fachhochschule, Wirtschaft, Institut Public Sector Transformation
Höhn, Sebastian; Zurkinden, Max; Neuroni, Alessia; Spichiger, Andreas (2021). Good Data Governance als Hebel der Transformation im öffentlichen Sektor In: Stember, J.; Eixelsberger, W.; Spichiger, A.; Neuroni, A.; Habbel, FR.; Wundara, M. (eds.) Aktuelle Entwicklungen zum E-Government : Neue Impulse und Orientierungen in der digitalen Transformation der öffentlichen Verwaltung (pp. 225-243). Springer Gabler 10.1007/978-3-658-33586-1_11
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