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 mentioned 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