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Optimizing Policy for Sustainable Development

Optimizing Policy for Sustainable Development

FromThe Turing Podcast


Optimizing Policy for Sustainable Development

FromThe Turing Podcast

ratings:
Length:
54 minutes
Released:
May 25, 2021
Format:
Podcast episode

Description

In an interview recorded last year, Jo & Ed are joined by Dr Omar A Guerrero, an Economist & Computational Social Scientist at The Alan Turing Institute & UCL Department of Economics, whose research focusses on economic behaviour and institutions from an interdisciplinary angle. The episode focusses on Policy Priority Inference (PPI); a technology developed in collaboration with the United Nations Development Programme. PPI is intended to be used to optimise government policy to meet sustainable development goals and identify the policy priorities that governments need to set if they are to adopt a specific development strategy. Read more about the research discussed in this episode here: https://www.turing.ac.uk/research/research-projects/policy-priority-inference
Released:
May 25, 2021
Format:
Podcast episode

Titles in the series (60)

The Turing Podcast is an exciting new podcast from The Alan Turing Institute, the UK's national institute for data science and artificial intelligence.