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Connecting water researchers
       and end-users:
Building knowledge mobilization capacity
  and awareness through a consortium
               approach

             Elizabeth Shantz
    Knowledge Mobilization Officer, CWN
LONG TERM      Improve water management in Canada for
  GOAL          environmental, economic & social good
                  Awareness of implications of research by
SHORT TERM
   GOAL                   end-user community

                        Identify, engage, and support
                  researchers and end users to participate
 APPROACH
                    in CWN-brokered and self-brokered
                           knowledge mobilization


                            Research Consortia
  ACTIVITIES
                       Knowledge Mobilization Tools
                                 Evaluation

                                                             3
Consortia
• End-user driven research consortia
   • Pathogens-in-Groundwater Research Consortium
   • Canadian Municipal Water Consortium
   • Secure Source Waters Consortium
   • Regional Watershed Research Consortium Nodes




                                                    4
Consortia




            5
Consortia
• Lessons learned
   • Build KM into the structure of the consortia
      • Core program → consortia program
   • Interaction and involvement are key
   • Provide support and resources




                                                    6
KM Tools
• Advice from end users on facilitating
  research partnerships
http://www.cwn-rce.ca/publications/knowledge-
    translation/advice-from-research-users-on-facilitating-
    research-partnerships/

• KM planning tool
   • What is KM and why do it?
   • Best practices



                                                              7
KM Research
• KM research
  •   Knowledge translation challenges and solutions described by researchers.
      Shantz, 2012
  •   Indicators to evaluate impact of knowledge translation and brokering.
      Levangie, 2011
  •   Consortia network mapping study. Dimitrova, 2011.
  •   Knowledge translation and knowledge brokering tools and strategies
      inventory. Jusek, 2011
  •   Engagement, interpretation and convening functions within intermediary
      organizations: organizational approach and capacity. Shantz, 2010
  •   Organizational structure and functions within intermediary organizations:
      A comparative analysis. Goreham Hitchman, 2010




                                                                             8
KM Tools and Research
• Lessons learned
   • Relationships are key
   • Consult and involve end users
   • Targeted communication
      • “So what” not just “what”
   • Evaluate regularly




                                     9
Evaluation
• Project evaluations
      • Written and in person
      • Established criteria




                                 10
Logic model representation of CWN consortia program




                          Logic model adapted from the University of Wisconsin-Extension logic model:
                          http://www.uwex.edu/ces/pdande/evaluation/evallogicmodel.html
Evaluation
• Longitudinal analysis (under development)
     • Qualitative & quantitative data
     • Interviews with researchers, end users
     • Success stories




                                                12
Evaluation
• Lessons learned
   • Evaluation is difficult but very important
   • Qualitative and quantitative methods




                                                  13
Thank you!
Questions?




             14

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Connecting water researchers and end-users: building knowledge mobilization capacity and awareness through a consortium approach.

  • 1. Connecting water researchers and end-users: Building knowledge mobilization capacity and awareness through a consortium approach Elizabeth Shantz Knowledge Mobilization Officer, CWN
  • 2.
  • 3. LONG TERM Improve water management in Canada for GOAL environmental, economic & social good Awareness of implications of research by SHORT TERM GOAL end-user community Identify, engage, and support researchers and end users to participate APPROACH in CWN-brokered and self-brokered knowledge mobilization Research Consortia ACTIVITIES Knowledge Mobilization Tools Evaluation 3
  • 4. Consortia • End-user driven research consortia • Pathogens-in-Groundwater Research Consortium • Canadian Municipal Water Consortium • Secure Source Waters Consortium • Regional Watershed Research Consortium Nodes 4
  • 6. Consortia • Lessons learned • Build KM into the structure of the consortia • Core program → consortia program • Interaction and involvement are key • Provide support and resources 6
  • 7. KM Tools • Advice from end users on facilitating research partnerships http://www.cwn-rce.ca/publications/knowledge- translation/advice-from-research-users-on-facilitating- research-partnerships/ • KM planning tool • What is KM and why do it? • Best practices 7
  • 8. KM Research • KM research • Knowledge translation challenges and solutions described by researchers. Shantz, 2012 • Indicators to evaluate impact of knowledge translation and brokering. Levangie, 2011 • Consortia network mapping study. Dimitrova, 2011. • Knowledge translation and knowledge brokering tools and strategies inventory. Jusek, 2011 • Engagement, interpretation and convening functions within intermediary organizations: organizational approach and capacity. Shantz, 2010 • Organizational structure and functions within intermediary organizations: A comparative analysis. Goreham Hitchman, 2010 8
  • 9. KM Tools and Research • Lessons learned • Relationships are key • Consult and involve end users • Targeted communication • “So what” not just “what” • Evaluate regularly 9
  • 10. Evaluation • Project evaluations • Written and in person • Established criteria 10
  • 11. Logic model representation of CWN consortia program Logic model adapted from the University of Wisconsin-Extension logic model: http://www.uwex.edu/ces/pdande/evaluation/evallogicmodel.html
  • 12. Evaluation • Longitudinal analysis (under development) • Qualitative & quantitative data • Interviews with researchers, end users • Success stories 12
  • 13. Evaluation • Lessons learned • Evaluation is difficult but very important • Qualitative and quantitative methods 13