Cyberenabled Citizen Science
Cyberenabled Citizen Science is a project developed by a team of scientists and learning scientists from many universities to investigate participants’ involvement in and learning through citizen science-designed adaptive management programs. Collaborative Science seeks to alter the paradigm of most Citizen Science projects by involving the volunteers as not only data collectors, but as researchers involved in the planning and design of the relevant research, leveraging community members and stakeholders to improve project efficacy. Conceptualizing the citizen scientists in this manner creates exciting opportunities to study science learning and understanding within the community solving real-world problems, especially through collaborative use of environmental modeling tools.
Gray, S., D. Mellor, D, RC Jordan, and G. Newman. 2014. Modeling with citizen scientists. Proceedings of the International Environmental Modelling and Software Society (iEMSs) 7th Intl. Congress on Env. Modelling and Software, San Diego, CA, USA, Daniel P. Ames, Nigel W.T. Quinn and Andrea E. Rizzoli (Eds.)
Gray, S. Gray, S., Cox, L., and Henly-Shepard, S. 2013 Mental modeler: A fuzzy-logic cognitive mapping modeling tool for adaptive environmental management. Proceedings of the 46th International Conference on Complex Systems. 963-973.
Gray, S., Zanre, E., and Gray S. 2013. Fuzzy Cognitive Maps as representations of mentalmodels and group beliefs: theoretical and technical issues. In Fuzzy Cognitive maps for Applied Sciences and Engineering - From fundamentals to extensions and learning algorithms Ed: Elpiniki I. Papageorgiou. Springer Publishing
Gray, S., Chan, A., Clark, D. and R.C. Jordan. 2012. Modeling the integration of stakeholder knowledge in social-ecological system decision-making: Benefits and limitations to knowledge diversity. Ecological Modeling 229, 88-96.
Collaborative Science empowers communities through modeling and adaptive management, where you can access tools the volunteers use (with an account sign-up) and find more detail about work on past projects and the volunteers’ diverse goals.
Please embed the video from the front page here and use the screenshot I uploaded previously for the front page of the website.
Metal Modeler is a Fuzzy-Logic Cognitive Mapping tool that citizen scientists are trained to form collaborative and individual models on to demonstrate and facilitate their concept-development processes on their adaptive management projects
Cindy E. Hmelo-Silver
Whitney E. Novak
Collaborators in this project include learning scientists, ecologists, and computer and information scientists from several higher education institutions including Indiana University’s Center for Research on Learning and Technology, Rutgers University's Program in Science Learning, Virginia Tech's Department of Forest Resources and Environmental Conservation, Colorado State University's Natural Resource Ecology Laboratory, the University of Massachusetts, Virginia Master Naturalist and Nature Conservancy volunteers.