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Putting Policy Makers First

This project, led by experts like Sharon, introduces a new approach merging complexity sciences with engineering principles to revolutionize policy making. Through dialogue, pattern recognition, and innovative tools, the aim is to navigate the complexities of social systems and enhance decision-making. The project advocates for a shift from the traditional deterministic model to one that embraces uncertainty, crowd-sourced insights, and tailored solutions. By prioritizing the needs of policy makers and leveraging diverse perspectives, the initiative seeks to address pressing societal challenges in an ever-evolving landscape.

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Putting Policy Makers First

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  1. Putting Policy Makers First • Moving Beyond the Complexity Sciences to Complexity Engineering • www.synthesisips.net • greg.fisher@synthesisips.net

  2. Introduction • Bank of England for 9 years • Hedge Fund for 4 years • Synthesis - with Paul Ormerod & Bridget Rosewell in 2011 • Think Tank (policy intermediary) • Centred around Complexity Theory • Emerging Theme: Complexity Engineering

  3. Why we are here...? • Introducing: Sharon

  4. Complexity & Policy:How it works at the moment Well, pattern recognition helps because life seems to be a mix of evolving patterns, global cascades, black swans, and things like that. Angela! I want to tell you about complex systems! They’re amazing! Did you know that the future of a social systems is inherently unknowable?! There are these things called emergent phenomena. They’re terribly important and It’s all a bit technical Ah well, you should be aware when deciding things that the world is not deterministic Please leave now via that window and wave goodbye to your funding! *shrugs*, and? That’s a pity. So what? ok, I’m listening What does that mean for me? Complexity Boffin Policy Maker

  5. How It could Work Angela, could you tell me what your problems are? Of course! Where do I begin?!... I would like to help by using some new approaches to social systems. Complexity Boffin Policy Maker

  6. Science & Engineering Complexity Engineering Complexity Sciences Policy Maker Policy Maker Sharon Intermediaries (like Think Tanks)

  7. Scientists & Engineers Scientific Principles Rigorous Thinking Funky Tools like ABM Internal dialogue: jargon mostly ok Engineering Principles Empathy with policymakers Imaginative Thinking to marry science & policy Clear articulation to layman

  8. Some Engineering Principles? • Old Paradigm: one expert, correct model, add data = endogenous policy choice • But: society evolving, idiosyncrasies matter, & no-one can know whole terrain in wicked problem • Key principles: • Crowd source views of policy space from multiple stakeholders • Pattern recognition of “policy space” • Repeat back to test pattern recognition • Consider policy options

  9. Example: Multiple & Severe Disadvantages • Round-Table Discussion: policy makers first • UK Care delivery is silo-based • People = Sum of care requirements • Sharon: 8 application forms for unemployment, childcare, drug abuse, homelessness, psychologist, etc. • Idea: tailored care for 5% of care cases - devolved authority

  10. Moving Forward: Project Idea Mature Tools Prototype Tools Learn from examples Apply to multiple Policy Terrains Publish on web as a “wiki”: additions & Evolution Use in Policy Learn from Complexity Consultants Learning Feedback Loop

  11. Q & A

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