ABSTRACT
The field of crowdsourcing in science has gained recognition over the past decade as a cognitively intriguing and emerging concept. Responding to the demands of democratization and technicization, it is seen as a complementary method for scientific knowledge creation. However, its critics highlight methodological and ethical challenges. While crowdsourcing aligns with platformization of science, questions remain about its impact on established practices. Motivating virtual communities to participate in scientific tasks remains essential, even as concerns about rigour persist. Additionally, the future of crowdsourcing intersects with emerging technologies, including artificial intelligence and blockchain. Those developments pose significant challenges and opportunities for scientific knowledge production.
