Das Projekt arbeitet eng mit Behörden und öffentlichen Einrichtungen zusammen, die den Einsatz von KI in Kommunikationsprozessen prüfen oder erproben. Diese Kooperationen dienen dem gegenseitigen Wissenstransfer: Forschungsergebnisse fließen in die Praxis ein, während Erfahrungen aus der Verwaltung in die wissenschaftliche Analyse zurückgespielt werden.

Ziel ist es, tragfähige Grundlagen für den Einsatz von KI-Systemen in der behördlichen Kommunikation zu schaffen: transparent, nachvollziehbar und im Interesse einer bürgerorientierten Verwaltung.

Publikationen

Eckhard, Steffen, & Friedrich, Laurin. (2025). The Language of Public Encounters: Computational Measures of Complexity and Emotionality in Spoken Bureaucratic Communication. Social Policy & Administration. https://doi.org/10.1111/spol.70042

Frenzel, S., & Hautli-Janisz, A. (2025). Identifying small talk in natural conversations.In A. Kazantseva, S. Szpakowicz, S. Degaetano-Ortlieb, Y. Bizzoni, & J. Pagel (Eds.), Proceedings of the 9th joint SIGHUM workshop on computational linguistics for cultural heritage, social sciences, humanities and literature (LaTeCH-CLfL 2025) (pp. 272–277). Association for Computational Linguistics. https://aclanthology.org/2025.latechclfl-1.24/ 

Friedrich, Laurin, & Eckhard, Steffen. (2025). Inequality in frontline communication: Bureaucrats talk differently to men and women. Journal of Public Administration Research and Theory. https://doi.org/10.1093/jopart/muaf036

Eckhard, S,, & Friedrich, L. (2024). Linguistic Features of Public Service Encounters: How Spoken Administrative Language Affects Citizen Satisfaction. Journal of Public Administration Research and Theory 34 (1): 122–35. https://academic.oup.com/jpart/article/34/1/122/6891178 

Espinoza, I., Frenzel, S., Friedrich, L., Siskou, W., Eckhard, S., & Hautli-Janisz, A. (2024). PSE v1.0: The First Open Access Corpus of Public Service Encounters. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). https://aclanthology.org/2024.lrec-main.1165/ 

Itani, A., Siskou, W., & Hautli-Janisz, A. (2024). Automated Anonymization of Parole Hearing Transcripts. In N. Aletras, I. Chalkidis, L. Barrett, C. Goanță, D. Preoțiuc-Pietro, & G. Spanakis (Eds.), Proceedings of the Natural Legal Language Processing Workshop 2024 (pp. 115–128). Association for Computational Linguistics. https://aclanthology.org/2024.nllp-1.9/ 

Siskou, W., & Espinoza, I. (2024). “So, are you a different person today?” Analyzing Bias in Questions during Parole Hearings. In J. Hale, K. Chawla, & M. Garg (Eds.), Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024) (pp. 116–128). Association for Computational Linguistics. https://aclanthology.org/2024.sicon-1.8/ 

Eckhard, S. Espinoza, I., Frenzel, S., Hautli-Janisz, A. & Siskou, W. (2023). Language and Power. Computational Analysis Can Help Us Understand Inequalities in Communication. In_equality Magazine:  Research Magazine of the Cluster of Excellence “The Politics of Inequality” at the University of Konstanz, 2023 . 

Eckhard, S., Friedrich, L., Hautli-Janisz, A., Mueden, V. & Espinoza, I. (2022). A Taxonomy of Administrative Language in Public Service Encounters. International Public Management Journal 27 (1): 60–75. https://www.tandfonline.com/doi/full/10.1080/10967494.2022.2075062 

Eckhard, S., Friedrich, L., Hautli-Janisz, A., Mueden, V., & Espinoza, I. (2022). A taxonomy of administrative language in public service encounters. International Public Management Journal, 1-16. https://www.tandfonline.com/doi/full/10.1080/10967494.2022.2075062 

Eckhard, S., & Friedrich, L. (2022). Linguistic features of public service encounters: How spoken administrative language affects citizen satisfaction. Journal of Public Administration Research and Theory.  https://academic.oup.com/jpart/article/34/1/122/6891178 

Eckhard, S., Friedrich, L., Hautli-Janisz, A., Mueden, V., & Espinoza, I. (2022). Kommunikation ist alles - Wie gesprochene Verwaltungssprache die Bürgerzufriedenheit erhöhen kann. Behördenspiegel, 08/2022. https://issuu.com/behoerden_spiegel/docs/2022_august 

Siskou, W., Friedrich, L., Eckhard, S., Espinoza, I., & Hautli-Janisz, A. (2022). Measuring Plain Language in Public Service Encounters. Proceedings of the 2nd Workshop on Computational Linguistics for Political Text Analysis (CPSS-2022), 27-35. https://old.gscl.org/en/arbeitskreise/cpss/cpss-2022/workshop-proceedings-2022