| Literature DB >> 27185104 |
Györgyi Bela1, Taru Peltola2,3, Juliette C Young4, Bálint Balázs5, Isabelle Arpin2, György Pataki5,6, Jennifer Hauck7,8, Eszter Kelemen5, Leena Kopperoinen9, Ann Van Herzele10, Hans Keune10, Susanne Hecker7,8, Monika Suškevičs11, Helen E Roy12, Pekka Itkonen9, Mart Külvik11, Miklós László13, Corina Basnou14, Joan Pino15,14, Aletta Bonn7,8,16.
Abstract
The number of collaborative initiatives between scientists and volunteers (i.e., citizen science) is increasing across many research fields. The promise of societal transformation together with scientific breakthroughs contributes to the current popularity of citizen science (CS) in the policy domain. We examined the transformative capacity of citizen science in particular learning through environmental CS as conservation tool. We reviewed the CS and social-learning literature and examined 14 conservation projects across Europe that involved collaborative CS. We also developed a template that can be used to explore learning arrangements (i.e., learning events and materials) in CS projects and to explain how the desired outcomes can be achieved through CS learning. We found that recent studies aiming to define CS for analytical purposes often fail to improve the conceptual clarity of CS; CS programs may have transformative potential, especially for the development of individual skills, but such transformation is not necessarily occurring at the organizational and institutional levels; empirical evidence on simple learning outcomes, but the assertion of transformative effects of CS learning is often based on assumptions rather than empirical observation; and it is unanimous that learning in CS is considered important, but in practice it often goes unreported or unevaluated. In conclusion, we point to the need for reliable and transparent measurement of transformative effects for democratization of knowledge production.Entities:
Keywords: aprendizaje transformador; biodiversidad; biodiversity; collaborative assessment; interacciones; participación; participation; política ciencia-sociedad; science-society-policy interactions; transformative learning; valoración colaborativa
Mesh:
Year: 2016 PMID: 27185104 DOI: 10.1111/cobi.12762
Source DB: PubMed Journal: Conserv Biol ISSN: 0888-8892 Impact factor: 6.560