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Center for the Advancement of  Informal Science Education (CAISE) CAISE Inquiry Group Report, July 2009 Public Participation in Scientific Research: Defining the Field and Assessing its Potential for Informal Science Education Bonney, R., Ballard, H., Jordan, R., McCallie, E., Phillips, T., Shirk, J., and Wilderman, C.
Scientist/ Technician Public Participants Steps in scientific process: Define a question/issue Gather information Develop explanations Design data collection methods Collect data/samples Analyze samples Analyze data Interpret data/conclude Disseminate conclusions Discuss results/inquire further
PPSR models: Contributory Collaborative Co-Created Define a question/issue Gather information Develop explanations Design data collection methods Collect data/samples Analyze samples Analyze data Interpret data/conclude Disseminate conclusions Discuss results/inquire further
Project FeederWatch Contributory Boundary ofNorthern Range 2005 2000 1995 1990
Shermans Creek Conservation Association Co-created Flickr photo, sierraclub Flickr photo, 900hp
Science center citizen science participation distribution: Define a question/issue Gather information Develop explanations Design data collection methods Collect data/samples Analyze samples Analyze data Interpret data/conclude Disseminate conclusions Discuss results/inquire further
Canadian Community Monitoring Network (Pollock and Whitelaw 2005; Vaughan et al 2003) timely      accessible     relevant     useful
Environmental activities Values and perspectives Recording Experience(internal) Information(external) Empowerment Interpretation Decision making Adapted from Lawrence 2009
Engaging researchers: Potentials
Engaging researchers: Challenges Logistic ,[object Object],Perceived ,[object Object]
 Making the global local

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CAISE Report on Public Participation in Scientific Research

  • 1. Center for the Advancement of Informal Science Education (CAISE) CAISE Inquiry Group Report, July 2009 Public Participation in Scientific Research: Defining the Field and Assessing its Potential for Informal Science Education Bonney, R., Ballard, H., Jordan, R., McCallie, E., Phillips, T., Shirk, J., and Wilderman, C.
  • 2. Scientist/ Technician Public Participants Steps in scientific process: Define a question/issue Gather information Develop explanations Design data collection methods Collect data/samples Analyze samples Analyze data Interpret data/conclude Disseminate conclusions Discuss results/inquire further
  • 3. PPSR models: Contributory Collaborative Co-Created Define a question/issue Gather information Develop explanations Design data collection methods Collect data/samples Analyze samples Analyze data Interpret data/conclude Disseminate conclusions Discuss results/inquire further
  • 4. Project FeederWatch Contributory Boundary ofNorthern Range 2005 2000 1995 1990
  • 5. Shermans Creek Conservation Association Co-created Flickr photo, sierraclub Flickr photo, 900hp
  • 6. Science center citizen science participation distribution: Define a question/issue Gather information Develop explanations Design data collection methods Collect data/samples Analyze samples Analyze data Interpret data/conclude Disseminate conclusions Discuss results/inquire further
  • 7. Canadian Community Monitoring Network (Pollock and Whitelaw 2005; Vaughan et al 2003) timely  accessible  relevant  useful
  • 8. Environmental activities Values and perspectives Recording Experience(internal) Information(external) Empowerment Interpretation Decision making Adapted from Lawrence 2009
  • 10.
  • 11. Making the global local
  • 12. Engaging diverse stakeholders
  • 13.

Notes de l'éditeur

  1. The NSF has a center for ISE CLO recognized as leaders in CS and ISEWe & colleagues defined the field of Citizen Science & provided recommendations for its improvementRecommendations from report widely cited, used in NSF grant proposals, some of which were funded: National Geographic, Audubon, and University of Minnesota.
  2. How those other steps might relate to dialogue.
  3. The challenge in doing this is precisely in the assumption that people make evidence-based decisions, particularly in contexts related to risk. It has been assumed that people are rational, analytical, and essentially make decisions cognitively. More recently, particularly in the context of climate change, it is being recognized that the affective elements of emotion, of values and trust, are just as much at play. So that when people are confronted with evidence, it can variably be interpreted as something that is or is not of pressing concern.