Although most existing recommender systems support single users, there are many scenarios where these systems target the needs of groups. Factors such as group mood, emotional contagion, and interpersonal relationships, are characteristics that are often ill-defined, tend to mutate over time, and are usually missing from the systems' modeling, even though they play an indispensable part of group modeling. Furthermore, producing timely and accurate recommendations for groups that are explainable, fair, and privacy-protecting is a notoriously difficult challenge since group members may have divergent views and needs.

With the 2nd Workshop on Group Modeling, Adaptation and Personalization (GMAP), we propose a way to bring together a research community focusing on group modeling, adaptation, and personalization. The workshop will explore the challenges and opportunities associated with developing effective methods and tools to support group decision-making. It aims at bringing together researchers from several disciplines, including Psychology, Computer Science, and Organizational Behavior, to discuss their latest research, future directions and ideas on this topic. Furthermore, the workshop will provide opportunities for participants to share their work and experiences, and to collaborate and network with others operating in this field. By bringing together experts from different disciplines and perspectives, the workshop fosters a vibrant and inclusive community committed to advancing our understanding of group modeling, adaptation, and personalization, identifying key challenges and opportunities in this area and developing a shared research agenda that will guide future works in the field.