Most policy professionals know how to analyse problems, but far fewer know how to make change actually happen.
This intensive one-day course on policy entrepreneurship is designed to close that gap. It equips civil servants, policy advisors, and change-makers with the practical tools to navigate complexity, influence decision-makers, and turn ideas into implemented policies.
Through interactive simulations, real-world cases, and hands-on exercises, you will learn how to identify policy windows, frame problems strategically, build coalitions, and use persuasion effectively. The course also explores how innovation and AI can support policy design and implementation in today’s fast-changing environments.
Rather than focusing on theory alone, this course provides actionable frameworks you can apply immediately in your own context. If you want to move from writing policies to shaping outcomes, this course will help you become a more effective and confident policy entrepreneur.
Here we build conceptual grounding and relevance:
• What is policy entrepreneurship?
• Kingdon’s Multiple Streams Framework
• Policy windows and timing
• Characteristics of policy entrepreneurs
• Individual vs collective actors
• Policy entrepreneurship across different governance systems
Here we develop analytical and framing skills:
• Problem framing vs problem discovery
• Competing narratives and policy paradigms
• Agenda-setting strategies
• Identifying and exploiting policy windows
Here we strengthen influence through communication:
• Rhetorical strategies in policymaking:
Logos, ethos, pathos
• Evidence vs persuasion: when data is not enough
• Storytelling in policy
• Communicating under uncertainty
Here we navigate politics and build alliances:
• Stakeholder mapping (power, interest, position)
• Coalition building strategies
• Managing resistance and opposition
• Political astuteness and bureaucratic navigation
Here we equip participants with innovation tools:
• Policy innovation vs policy transfer
• Change management in public organisations
• The role of AI in policy analysis, stakeholder engagement, and scenario simulation
• Risks and limitations of AI in policy
Here we apply all concepts in a realistic scenario. Participants work in small groups on a policy challenge scenario.
Our method consist of:
• Short lectures (no more than 15–20 minutes each)
• Case-based learning
• Simulations and role-play
• Peer learning and discussion
• Real-world application
Materials Included:
• Templates and toolkits (framing, stakeholders, pitch)
• Case studies
• AI prompt guide for policy work
• Slides and reading pack