SlideShare une entreprise Scribd logo
1  sur  14
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

Contenu connexe

Plus de Institute for Knowledge Mobilization

Plus de Institute for Knowledge Mobilization (20)

Knowledge translation and transfer program - OMAFRA
Knowledge translation and transfer program - OMAFRAKnowledge translation and transfer program - OMAFRA
Knowledge translation and transfer program - OMAFRA
 
What happens when the device disappears csba 2014
What happens when the device disappears csba 2014What happens when the device disappears csba 2014
What happens when the device disappears csba 2014
 
Where do knowledge brokers come from?
Where do knowledge brokers come from? Where do knowledge brokers come from?
Where do knowledge brokers come from?
 
From setting the stage to setting trends by Mandy Sangha
From setting the stage to setting trends by Mandy SanghaFrom setting the stage to setting trends by Mandy Sangha
From setting the stage to setting trends by Mandy Sangha
 
Relationship-based Knowledge Mobilization: Systems-based KMb and considerati...
Relationship-based Knowledge Mobilization: Systems-based KMb and considerati...Relationship-based Knowledge Mobilization: Systems-based KMb and considerati...
Relationship-based Knowledge Mobilization: Systems-based KMb and considerati...
 
Slides: Indicators for Measurement at each Stage of Knowledge Translation: fr...
Slides: Indicators for Measurement at each Stage of Knowledge Translation:fr...Slides: Indicators for Measurement at each Stage of Knowledge Translation:fr...
Slides: Indicators for Measurement at each Stage of Knowledge Translation: fr...
 
Mobilizing intelligent compassion by Harry Stefanakis
Mobilizing intelligent compassion by Harry StefanakisMobilizing intelligent compassion by Harry Stefanakis
Mobilizing intelligent compassion by Harry Stefanakis
 
KTDRR Measuring for Impact_Peter Levesque
KTDRR Measuring for Impact_Peter LevesqueKTDRR Measuring for Impact_Peter Levesque
KTDRR Measuring for Impact_Peter Levesque
 
Plain2013 peter levesque ikmb
Plain2013 peter levesque ikmbPlain2013 peter levesque ikmb
Plain2013 peter levesque ikmb
 
KMB Simulation: Thinking outside the KMB Toolkit
KMB Simulation: Thinking outside the KMB ToolkitKMB Simulation: Thinking outside the KMB Toolkit
KMB Simulation: Thinking outside the KMB Toolkit
 
How do quality improvement (QI) tools and methods contribute to healthcare im...
How do quality improvement (QI) tools and methods contribute to healthcare im...How do quality improvement (QI) tools and methods contribute to healthcare im...
How do quality improvement (QI) tools and methods contribute to healthcare im...
 
From Theory to Improvement: A conceptual framework for delivering improvement...
From Theory to Improvement: A conceptual framework for delivering improvement...From Theory to Improvement: A conceptual framework for delivering improvement...
From Theory to Improvement: A conceptual framework for delivering improvement...
 
Building a Community of Practice and leveraging Collaboration towards shared ...
Building a Community of Practice and leveraging Collaboration towards shared ...Building a Community of Practice and leveraging Collaboration towards shared ...
Building a Community of Practice and leveraging Collaboration towards shared ...
 
Speaking the Same Language: Creating a User Guide to Streamline Knowledge Mob...
Speaking the Same Language: Creating a User Guide to Streamline Knowledge Mob...Speaking the Same Language: Creating a User Guide to Streamline Knowledge Mob...
Speaking the Same Language: Creating a User Guide to Streamline Knowledge Mob...
 
Knowledge Transfer at the Canadian Research Data Centre Network
Knowledge Transfer at the Canadian Research Data Centre NetworkKnowledge Transfer at the Canadian Research Data Centre Network
Knowledge Transfer at the Canadian Research Data Centre Network
 
Supporting Knowledge Mobilization : From the roots to the fruits...
Supporting Knowledge Mobilization : From the roots to the fruits...Supporting Knowledge Mobilization : From the roots to the fruits...
Supporting Knowledge Mobilization : From the roots to the fruits...
 
Trust
TrustTrust
Trust
 
Competitive Intelligence: An Island of Structure in an Unstructured Ocean
Competitive Intelligence: An Island of Structure in an Unstructured OceanCompetitive Intelligence: An Island of Structure in an Unstructured Ocean
Competitive Intelligence: An Island of Structure in an Unstructured Ocean
 
K* (KStar): an inter-denominational view of Networking the Networks
K* (KStar): an inter-denominational view of Networking the NetworksK* (KStar): an inter-denominational view of Networking the Networks
K* (KStar): an inter-denominational view of Networking the Networks
 
A Theory of Change for Knowledge Mobilization
A Theory of Change for Knowledge MobilizationA Theory of Change for Knowledge Mobilization
A Theory of Change for Knowledge Mobilization
 

Dernier

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Dernier (20)

Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 

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