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Complex adaptive systems thinking is an exciting approach, and the popularity of the theory in the policy literature is testimony to this

Complex adaptive systems thinking is an exciting approach, and the popularity of the theory in the policy literature is testimony to this. But a number of issues are yet to be resolved. There needs to be clearer indication of the practical changes that it implies (if any) for policy research and practice. What are we saying that is different from “we need to take the wider context into account”, and “it’s hard to predict all possible consequences of any given action”? A widely accepted definition of complexity in the context of policy would add weight to evidence found to support the theory. We also need to clarify whether there is good cause to apply a natural science theory to political science. Most importantly, we should be wary of accepting the approach first and then looking for evidence to support it, rather than following the normal social science method of evaluating whether there is evidence in favour or against a given hypothesis. — http://blogs.lse.ac.uk/impactofsocialsciences/2018/10/12/what-are-the-implications-of-complex-systems-thinking-for-policymaking/
Up Next Next → In the past five years, multiple spaces have emerged to facilitate discussions about AI, from new multi-stakeholder organizations like the Partnership for AI to research centers like AI Now and projects like the Ethics and Governance of Artificial Intelligence Initiative https://points.datasociety.net/lets-avoid-an-artificial-intelligentsia-inclusion-artificial-intelligence-and-human-rights-3905d708e7ed?source=rss—-248 ← Previous Frequent mention is made in the academic literature to the need to clarify the way that this approach can be put into practice empirically, or as Holmes and Noel put it, move from “systems thinking-talking to systems thinking-action” http://blogs.lse.ac.uk/impactofsocialsciences/2018/10/12/what-are-the-implications-of-complex-systems-thinking-for-policymaking/
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