KNOWING Blueprint for Stakeholder Engagement

KNOWING Blueprint for Stakeholder Engagement

The KNOWING Stakeholder Engagement Blueprint provides a structured yet adaptable framework to support local co-design of climate-resilient development pathways.

Developed through Regional Hubs in cities like Naples, Tallinn, Granollers, and South Westphalia, this blueprint guides public authorities, researchers, civil society, and private stakeholders through a series of interactive workshops aimed at linking mitigation and adaptation strategies to local development goals.

The blueprint is organised around three key workshops, each with specific objectives and outputs:

Kick-off Workshop

Sets the stage by introducing the project’s aims, the Climate Impact Context (CIC), and local stakeholder roles. Participants co-analyse ongoing initiatives and begin mapping opportunities and constraints.

Challenge Workshop

Focuses on prioritising and validating mitigation/adaptation measures. Stakeholders assess intervention feasibility, response risks, and co-benefits across short-, medium-, and long-term horizons.

Vision Workshop

Facilitates the co-creation of a shared 2050 vision for climate resilience, integrating stakeholder strategies, SDGs, and previously selected interventions into a timeline for implementation.

Each blueprint includes:

  • A step-by-step methodology and editable materials
  • Pre-activity materials (surveys, stakeholder-tailored info-packages)
  • Suggested facilitation tools (e.g., interactive boards, goal cards, ranking matrices)
  • Workshop outputs aligned with regional and EU-level climate goals

Designed to be modular and locally adaptable, the Stakeholder Engagement Blueprint ensures that each workshop is tailored to context-specific climate challenges, stakeholder profiles, and urban development dynamics. This process enables cities and regions to define robust, inclusive, and actionable pathways toward climate neutrality and resilience.

This tool is a core component of the KNOWING project’s methodology and will be continuously refined based on lessons learned from local implementations.