How can scientific collaborations produce knowledge? by Vitaly Pronskikh
I shall focus on differences in knowledge production between individual scientists and collaborations as well as contrasts between small and large collaborations, and mono- versus interdisciplinary ones. Strategies that can be practiced to increase confidence in results will be discussed using case studies.
- Controversy between “lone independent researcher” (R.Wilson) and collective character of research in big science and megascience (L.Hoddeson) is still unresolved.
- Calibration of authority/explanatory responsiveness are not always viable.
- Participation of the entire collaboration and external experts in data analysis and deliberations:
- All are more competent than general public.
- Makes aggregation more error-resistant. No single member is a “weak chain”.
- Requirement of the epistemic justice (not only ethical). Surmounts epistemic stratification.
- Intra- and intercollaborational community-based participatory research (CBPR) seems a feasible solution. Large collaboration is a small community. First step to CBPR in HEP.