In an era defined by global interconnectivity and rapid social and technological transformations, individuals and communities are increasingly confronted with multifaceted challenges, such as crises, conflicts, and information overload. These complex situations demand a nuanced understanding of human behavior, moral reasoning, societal trust, and decision-making across diverse contexts. This interdisciplinary session seeks to foster dialogue and collaboration among scholars from a variety of fields — including psychology, behavioral sciences, artificial intelligence, sociology, and economics — to explore how individuals and societies respond to these challenges and how insights from interdisciplinary research can inform future solutions.
We invite submissions of original research that examine the interplay between human behavior, decision-making, and societal dynamics in complex, uncertain, and high-stakes scenarios. This session is particularly interested in studies that adopt interdisciplinary approaches to develop theoretical, empirical, or methodological innovations. Relevant topics include, but are not limited to:
- Applications of advanced computational techniques, such as large language models, in societal and political event prediction
- Trust dynamics during crises and their implications for societal stability and cohesion
- Interactions between emotions, information dissemination, and social norms in shaping decision-making processes
- Multidisciplinary approaches to understanding human behavior and societal responses in dynamic contexts
- Experimental or applied case studies focusing on crisis management, political events, or public health behaviors
We welcome contributions from diverse methodologies, including theoretical frameworks, empirical studies, computational modeling, and interdisciplinary designs. Submissions that highlight practical insights or collaborative, multi-perspective research are particularly encouraged. This session aims to bring together scholars to advance the understanding of human and social dynamics in complexity and foster innovative cross-disciplinary solutions to pressing societal challenges.
Important Dates
- Special Session Papers Submission: 25 July 2025
- Acceptance Notification: 15 August 2025
- Camera-Ready Submission: 08 September 2025
- Conference Date: 16-18 Oct 2025
Paper submission instruction
Paper submission system is available at: https://cmt3.research.microsoft.com/BESC2025.
All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to BESC 2025, originality, significance and clarity.
Please note:
- Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review.
- Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings.
- Papers must be clearly submitted in English and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation.
- Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work.
- Accepted papers will be included in the proceedings of BESC 2025 and indexed by EI.
- Top quality papers after presented in the conference will be selected for extension and publication in several special issues of international journals, e.g., IEEE Transactions on Computational Social Systems (IEEE), IEEE Transactions on Learning Technologies (IEEE), CCF Transactions on Pervasive Computing and Interaction (Springer), EURASIP Journal on Image and Video Processing (Springer), World Wide Web Journal (Springer), Social Network Analysis and Mining (Springer), Human-Centric Intelligent Systems (Springer), Natural Language Processing (Elsevier), Health Information Science and Systems (Springer), Web Intelligence (IOS Press), etc.
- The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text.