OTF: The Meta of Many? Mapping Methods, Modalities, and Messiness
Over the past decade, “many-analyst” and “many-lab” projects have proliferated, but no central resource exists to compare how they’re built. This hackathon proposes a collaborative meta-review of such projects, focusing on sample sizes, analytic tools, and how analytic divergence is visualised. We aim to identify and map 20–30 key projects across behavioural, neuroimaging, and cross-cultural domains in the last decade. The goal is to reveal patterns (e.g., team size vs. tool diversity), highlight gaps (e.g., underrepresentation of EEG), and develop standard metadata fields to help future projects compare and self-audit. Outputs will include a living spreadsheet, visual summaries (e.g., effect size variance by modality), and a draft outline for a perspective paper. We welcome meta-scientists, data visualizers, and educators, anyone curious about the evolving ecosystem of “manys” in big-team science.
Hackathon format