Meta-Collective Intelligence: When Groups of Groups Make Decisions

Current research focuses on improving individual group decisions, but what happens when multiple groups need to decide together? Drawing on Williams' (2020) concept of "General Collective Intelligence" and Tang & Liao's (2023) work on group structure, this research explores the fascinating space where groups themselves become the decision-making units. We'd investigate how different group "personalities" (risk-averse vs. risk-seeking, analytical vs. intuitive) interact when multiple groups need to reach consensus, and develop protocols for inter-group deliberation that preserve the intelligence of each contributing group while creating something greater than the sum of their parts. Unlike Truong & Nguyen's (2024) approach of enhancing single collectives with expert knowledge, we'd focus on how multiple specialized collectives might combine their expertise through structured interaction protocols. Think of it as the United Nations model but with scientifically-designed interaction patterns optimized for collective intelligence emergence. This extends the frontier beyond current MAGDM approaches (which still fundamentally treat individuals as the atomic units) into genuinely multi-level collective intelligence. The potential impact is profound - many of our biggest challenges (climate change, global governance, scientific coordination) require precisely this kind of meta-collective decision-making, yet we have almost no scientific understanding of how to optimize it.

References:

1. A new method for enhancing collective intelligence using expert’s knowledge. Hai Bang Truong, Van Du Nguyen (2024). Journal of Information and Telecommunication.
2. Group Structure and Information Distribution on the Emergence of Collective Intelligence. Ming Tang, Huchang Liao (2023). Decision Analytics.
3. General Collective Intelligence and the Constraints to Group Decision-Making. Andy E. Williams (2020).
4. Group Structure and Information Distribution on the Emergence of Collective Intelligence. Ming Tang, Huchang Liao (2023). Decision Analytics.