The 58th Hawaii International Conference on System Sciences (HICSS) took place from January 7 to 10, 2025 in Waikoloa on Big Island, Hawaii. The team from the Department of Information Systems at the University of Kassel was represented at the conference with the following three contributions:

• Meywirth, S.; Janson, A.; & Söllner, M. (2025):
  Personalized Coaching for Lifestyle Behavior Change through Large Language Models: A Qualitative Study.
  In: Hawaii International Conference on System Sciences (HICSS) (Vol. 58, pp. 3379-3388). Waikoloa, Hawaii, USA.
• Dittmar, A.; Reinhard, P.; Li, M. M.; Karst, F.; & Leimeister, J. M. (2025):
  Integrating Brand Identity Into AI-Based Conversational Agents: A Systematic Literature Review.
  In: Hawaii International Conference on System Sciences (HICSS). Big Island, Hawaii.
• Freise, L. R.; Bruhin, O.; Ritz, E.; Li, M. M.; & Leimeister, J. M. (2025):
  Code and Craft: How Generative AI Tools Facilitate Job Crafting in Software Development.
  In: 58th Hawaii International Conference on System Sciences (HICSS). Hawaii, USA.

• Karst, F.; Li, M.; Reinhard, P. & Leimeister, J. M. (2025)
  Not Enough Data to Be Fair? Evaluating Fairness Implications of Data Scarcity Solutions
  In: 58th Hawaii International Conference on System Sciences (HICSS). Hawaii, USA.

The Hawaii International Conference on System Sciences (HICSS) is the world's oldest scientific conference in the field of information technology management. It provides a highly interactive working environment for researchers from academia and industry from over 60 countries to exchange ideas in the various fields of information, computer and systems sciences.

We are particularly pleased about the Best Paper Award, which Leonie Freise, Olivia Bruhin, Eva Ritz, Mahei Li and Jan Marco Leimeister received for their paper "Code and Craft: Exploring the Influence of Generative AI Tools on Job Crafting Behavior in Software Development".

We are also delighted about the Best Paper nomination for the paper"Not Enough Data to Be Fair? Evaluating Fairness Implications of Data Scarcity Solutions" by Fabian Karst, Mahei Li, Philipp Reinhard and Jan Maro Leimeister. Congratulations!