How 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 happen around the world. The Science for Policy podcast is produced the Scientific Advice Mechanism to the European Commission and hosted by Toby Wardman. The many and varied opinions expressed on this podcast are those of the guests themselves. They do not necessarily represent the views of SAPEA or the European Commission.
Episodes
Monday Mar 08, 2021
Tracey Brown on data modelling in policy advice
Monday Mar 08, 2021
Monday Mar 08, 2021
How widespread is the use of big data in government decision-making? What questions should policymakers ask when presented with policy recommendations based on data modelling? Should opaque models based on machine-learning algorithms come with a health warning?
Tracey Brown discusses these questions with Toby Wardman of SAPEA. We also discuss spurious precision in scientific results, whether US election pollsters got it right or wrong, and the psychology of ordering wine.
Resources discussed in this episode
Sense About Science guide to data science: https://wordpress-398250-1278369.cloudwaysapps.com/wp-content/uploads/2019/06/SaS-DataScienceGuide-V8-SinglePages.pdf
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