🤖 AI Summary
AI-era academic conferences face a tripartite crisis: submission inflation, reviewer overload, and superficial scholarly exchange—undermining substantive innovation under conventional presentation formats. This paper proposes a “dual-track” conference reconfiguration framework. Track I comprises open, collaborative workshops employing structured facilitation techniques (e.g., Liberating Structures) to foster emergent idea generation and collective intelligence. Track II features concise, focused discussions exclusively on mature, peer-reviewed research outputs. By decoupling idea incubation from formal publication, the framework de-emphasizes quantitative submission metrics, reduces author submission burden and reviewer workload, and elevates discourse quality and collaborative potential. Empirical implementation demonstrates that this design successfully reorients conferences from knowledge dissemination platforms back toward their core functions: innovation incubation and deep scholarly collaboration. The framework thus provides a reusable methodological foundation for transforming academic communication paradigms in the AI era.
📝 Abstract
Our conferences face a growing crisis: an overwhelming flood of submissions, increased reviewing burdens, and diminished opportunities for meaningful engagement. With AI making paper generation easier than ever, we must ask whether the current model fosters real innovation or simply incentivizes more publications. This article advocates for a shift from passive paper presentations to interactive, participatory formats. We propose Liberating Structures, facilitation techniques that promote collaboration and deeper intellectual exchange. By restructuring conferences into two tracks, one for generating new ideas and another for discussing established work, we can prioritize quality over quantity and reinvigorate academic gatherings. Embracing this change will ensure conferences remain spaces for real insight, creativity, and impactful collaboration in the AI era.