ZORA Publication List

Publications

• Lüscher, S., Serdült, U., Bernhard, L., & Cheon, J. (2026). Wer profitiert von einer Einführung von Demokratiegutscheinen? https://www.defacto.expert/2026/01/29/wer-profitiert-von-einer-einfuehrung-von-demokratiegutscheinen/
• Lüscher, S., & Serdült, U. (2026). DAO Decision-Making Simulation for Legislative Consultation: the Case of the Swiss E-ID Law 2019 2310–2319. https://scholarspace.manoa.hawaii.edu/items/595c0a89-36d4-4167-b808-2f4a47c53ec0
• Lüscher, S., Serdült, U., Cheon, J., & Bernhard, L. (2025). E-Collecting in der Schweiz: Akzeptanz und Reformbedarf nach dem Unterschriftenbetrug https://www.defacto.expert/2025/08/22/e-collecting-in-der-schweiz-akzeptanz-und-reformbedarf-nach-dem-unterschriftenbetrug/
• Serdült, U., Kovacs, M., Wang, O., & Wang, R. (2025). Towards Efficient and Interpretable Machine Learning for Classifying Petition Admissibility: A Case Study of the JOIN Platform (I. Lindgren, Rodríguez Bolívar Manuel Pedro, M. Janssen, E. Loukis, F. Mureddu, P. Panagiotopoulos, Viale Pereira Gabriela, & E. Tambouris, Eds.; pp. 320–335). Springer (Bücher). https://doi.org/10.1007/978-3-032-01589-1_20
• Bernhard, Laurent; Cheon, Junmo; Lüscher, Sandro; Koelewijn, Kymani Shayra; Sorrentino, Gianluca; Serdült, Uwe (2025). FOKUS Aargau: Studie zu den Aargauer Volksabstimmungen vom 18. Mai 2025 Aarau: Zentrum für Demokratie Aarau (ZDA).
• Siswanto, C. K., Kovacs, M., & Serdült, U. (2025). Balancing performance and computational cost for online petition processing (pp. 86–92). Presented at the ICRAI 2024: 10th International Conference on Robotics and Artificial Intelligence, Association for Computing Machinery, New York, NY, USA. doi:10.1145/3728985.3729000
• Kovacs, Mate; Buryakov, Daniil; Gohourou, Didier; Serdült, Uwe (2025). Temporal dynamics and success patterns of online petitions: a time-series clustering approach In: ICRAI 2024: 10th International Conference on Robotics and Artificial Intelligence, Singapore, 15 November 2024 - 17 November 2024. Association for Computing Machinery, New York, NY, United States, 103-109.
• Bernhard, Laurent; Brüggemann, Salim; Cheon, Junmo; Serdült, Uwe (2025). FOKUS Aargau: Studie zu den Aargauer Grossratswahlen vom 20. Oktober 2024 Aarau: Zentrum für Demokratie Aarau (ZDA).
• Riyadi, Agus; Kovacs, Mate; Serdült, Uwe; Kryssanov, Victor (2025). Benchmarking with a Language Model Initial Selection for Text Classification Tasks Machine Learning and Knowledge Extraction, 7(1):online.
• Son, Jae Hyun; Kovacs, Mate; Shady, Salama; Serdült, Uwe (2025). Facilitating online petition topic categorization in South Korea: a BERT-based approach In: 2025 Eleventh International Conference on eDemocracy & eGovernment (ICEDEG), Bern, Schweiz, 18 June 2025 - 20 June 2025. Institute of Electrical and Electronics Engineers, 198-205.
• Zhang, Q., Kovacs, M., Kryssanov, V., & Serdült, U. (2025). CnPBERT: Facilitating Chinese Online Petition Classification through Domain-Specific Pretraining 80–87. https://doi.org/10.1109/BDEE67464.2025.00019
• Benli-Trichet, M., Angelico, F., De Moraes Azenha, A. L., Barlay, M., Berkachy, R., Cheon, J., Colosante, L., Fornerod, L., Gohourou, D., Hofmann, G., Huang, H., Kalberer, S., Lorusso, R., Markov, Č., Mavrov, B., Picco-Schwendener, A., Rachmantya, A. D., Seldon, N., Seo, H. S., … Serdült, U. (2025). Unraveling the digital governance systems divide (No. 4127). 4127, 1–12. https://rifdt.ifdt.bg.ac.rs/handle/123456789/4553?locale-attribute=en
• Riyadi, Agus; Kovacs, Mate; Serdült, Uwe; Kryssanov, Victor (2024). IndoGovBERT: A Domain-Specific Language Model for Processing Indonesian Government SDG Documents Big Data and Cognitive Computing, 8(11):153.
• Buryakov, Daniil; Kovacs, Mate; Serdült, Uwe; Kryssanov, Victor (2024). Enhancing the design of voting advice applications with BERT language model Frontiers in Artificial Intelligence, 7:1343214.
• Buryakov, Daniil; Kovacs, Mate; Serdült, Uwe; Kryssanov, Victor (2024). A Multi-Label Classifier for Online Petition Systems In: DGO 2024: 25th Annual International Conference on Digital Government Research, Taipei Taiwan, 11 June 2024 - 14 June 2024, 156-164.
• Wang, Ruihao; Kovacs, Mate; Kryssanov, Victor; Serdült, Uwe (2024). A BERT-based Approach to Alleviate Civic Tech Tools Overcrowding: A case study of Taiwan's JOIN e-petition system In: DGO 2024: 25th Annual International Conference on Digital Government Research, Taipei Taiwan, 11 June 2024 - 14 June 2024, 695-702.
• Serdült, Uwe (2024). Switzerland In: Qvortrup, Matt . Referendums Around the World (3). Cham: Springer, 199-227.
• Hofmann, Gabriel; Serdült, Uwe; Brüggemann, Salim (2024). Studie zur kantonalen Volksabstimmung vom 18. Juni 2023 Aarau: Zentrum für Demokratie Aarau (ZDA).
• Rachmantya, Annisa Dea; Serdült, Uwe; Kryssanov, Victor (2023). Comparing Sparse and Dense Optical Flow Methods to Detect Traffic Anomalies, Based on Orientation In: SIET 2023: International Conference on Sustainable Information Engineering and Technology, Badung, Bali Indonesia, 24 October 2023 - 25 October 2023. Association for Computing Machinery, 33-38.
• Hofmann, Gabriel; Serdült, Uwe; Benli, Marine Charlotte; Vayenas, Costa; Villeneuve, Jean-Patrick; Picco-Schwendener, Anna; Colosante, Leonardo (2023). Assessing e-Participation indices, A Call for More Valid Measurement In: ICEGOV 2023: 16th International Conference on Theory and Practice of Electronic Governance, Belo Horizonte, Brasilien, 26 September 2023 - 29 September 2023, 270-277.

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