CALL FOR PAPERS

The theme for the symposium in 2026 will be “The Generative Shift: Rethinking Work, Creativity, and Knowledge in the AI Age.” We seek papers that explore how recent advances in artificial intelligence, particularly generative AI technologies such as large language models and multimodal systems, are transforming the way individuals, organizations, and institutions create, learn, work, and interact.

We encourage submissions that are informed by the rich body of Information Systems research developed over the past two decades, and that critically engage with the new phenomena emerging in the wake of AI’s rapid diffusion. These include shifts in labor markets, creative industries, education, knowledge work, platform economies, and epistemic authority.

Topics of interest include, but are not limited to:

• Generative AI and its impact on knowledge production, creativity, and digital content
• The future of work and new forms of human-AI collaboration
• Changing dynamics in digital platforms, marketplaces, and creator economies
• Algorithmic authority, trust, and the redefinition of expertise
• AI-driven transformations in education, healthcare, communication, and governance
• Ethical, legal, and policy implications of generative and foundation models
• Misinformation, synthetic content, and challenges to information integrity
• Social, cultural, and psychological dimensions of human-AI interaction
• Organizational and institutional adaptation to generative technologies

We encourage papers that study the technological, algorithmic, social, economic, managerial, and legal aspects of these topics. We also welcome methodological contributions related to statistics, data science, machine learning, artificial intelligence, econometrics, agent-based modeling, qualitative research, and other empirical approaches. Submissions should highlight the conceptual, empirical, or methodological challenges that arise from studying these emerging phenomena.

The deadline for submission is March 8, 2026, and notifications of paper decisions will be communicated by April 6, 2026. Authors should submit a two-page extended abstract (excluding references, figures, and tables) that outlines their research questions, the corresponding empirical challenges, the research approach pursued to address their questions and these challenges, and a preview of results obtained.