Cross-Domain Collective Intelligence: Transferring Design Collaboration Patterns to Scientific Research

Dortheimer's insightful categorization of collective intelligence in architectural design - discussive (conversation), synthetic (sequential development), and evaluative (crowd wisdom) - offers a powerful framework that has never been systematically applied to scientific research crowdsourcing. While Nguyen et al. (2018) documented 63 methods for mobilizing collective intelligence in research, they didn't organize these methods into a coherent typology that leverages different types of intelligence for different research phases. This research proposes redesigning scientific crowdsourcing platforms to explicitly incorporate all three intelligence types in sequence: discussive spaces for problem framing and hypothesis generation, synthetic workflows for iterative research development, and evaluative mechanisms for peer review and validation. Unlike current approaches that often use single-method crowdsourcing (e.g., just competitions or just collaboration), this multi-modal approach would match each intelligence type to its most appropriate research stage. The innovation lies in recognizing that different types of collective intelligence have different strengths and weaknesses, and that scientific progress requires systematically leveraging all three. This could transform how we conduct large-scale collaborative research, potentially accelerating discovery while maintaining quality through complementary intelligence processes.

References:

1. Collective Intelligence in Design Crowdsourcing. Jonathan Dortheimer (2022). Mathematics.
2. 63 Methods of mobilising collective intelligence through crowdsourcing in research:a scoping review. Thu Van Nguyen, M. Benchoufi, Bridget Young, Lina El Chall, P. Ravaud, I. Boutron (2018). Poster Sessions.