- Entry
Two main definitions are considered: Citizen science (CS) refers to public participation in scientific research activities in which citizens actively contribute and Extreme Citizen Science (ECS), a highly collaborative, bottom-up approach to scientific research where local communities and indigenous groups work as equal partners with researchers. The feasibility and epistemological implications of citizen science (CS) and a model increasingly conceptualized as Extreme Citizen Science (ECS), autonomous community science or “scientist-free citizen science” are investigated. Traditional CS frameworks position the public as passive data collectors under the stewardship of professional researchers. ECS explores whether citizens can independently formulate research questions, design methodologies, and interpret data without formal institutional oversight. By analyzing structural barriers, specifically resource scarcity and institutional gatekeeping, this entry evaluates the local knowledge generated by these movements. Furthermore, it addresses the validity paradox inherent in autonomous inquiry, arguing that while independent science faces rigorous critique regarding data fidelity, the strategic deployment of open-source protocols and decentralized citizen community review processes offers a legitimate, distinct pathway to scientific discovery. Ultimately, we propose a shift toward a “Scientist-as-Consultant”, a hybrid framework that balances citizens with professional technical validation.
11 November 2026





