Science for Policy
Scientific Advice MechanismHow far should we rely on science to make political decisions? What makes a good science advisor — or a good science advice system? What do we do when the evidence is incomplete or controversial? What happens when science advice goes wrong and how can we fix it? We explore these questions, and many more, in conversation with the researchers, policymakers and communicators who make science advice h... more
| Publishes | Twice monthly | Episodes | 108 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Category | Science | ||||
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Should scientists get involved in public campaigning, lobbying or advocating for causes close to their heart — or close to their research? If so, what are the responsibilities of scientists and their employing institutions — and what are the potentia... more
We often shine the spotlight on the advisors whose high-profile work comes at the end of the science advice process, and on the academics whose research it's based on. But there is a third important actor in this process, often working informally, so... more
People are forever saying that science advice should not just be about the natural sciences, but also about the social sciences, humanities and arts. And yet lumping those three categories together conceals a host of interesting complications. The co... more
Karen Yeung is an interdisciplinary professor at the University of Birmingham, specialising in AI. In this episode, she discusses with Toby Wardman the uses of AI in evidence-based policymaking, and the uses of evidence in AI policymaking.
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Science for Policy launched 6 years ago and published 108 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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