We explore questions that benefit from new methods, multiple disciplines, and thoughtful expert dialogue.
These are areas of interest, not claims that each is a separate laboratory or completed research project.
Identifying and framing scientific questions that remain underexplored.
Beyond identifying gaps, we are interested in why some problems receive limited attention: methodological barriers, disciplinary boundaries, measurement challenges, or insufficient collaboration.
Cognitive, psychological, and value-related aspects of human interaction with intelligent systems.
Topics include cognitive flexibility, metacognitive regulation, complementarity between human and AI capabilities, decision-making, and emerging forms of shared intellectual work.
Scientific experience and interdisciplinary knowledge as sources of new questions.
This area explores researchers' experience, professional judgment, and contributions that different sciences might offer to AI research and development. Voluntary participation, attribution, context, and agreed terms of reuse are essential.
Each new initiative requires a clear aim, appropriate methods, relevant approvals, and transparent collaboration terms.
Briefly describe the problem, context, and potential form of participation. You need not disclose confidential details in an initial inquiry.
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