AI tools as science policy advisers? The potential and the pitfalls

Large language models and other artificial-intelligence systems could be excellent at synthesizing scientific evidence for policymakers — but only with appropriate safeguards and humans in the loop. Recent advances in artificial intelligence (AI) have stoked febrile commentary around large language models (LLMs), such as ChatGPT and others, that can generate text in response to typed…

What works to promote research-policy engagement?

Authors: Kathryn Oliver, Anna Hopkins, Annette Boaz, Shannon Guillot-Wright, Paul Cairney Background: To improve the use of evidence in policy and practice, many organisations and individuals seek to promote research-policy engagement activities, but little is known about what works. Aims and objectives: We sought (a) to identify existing research-policy engagement activities, and (b) evidence on…

Assessing national institutional capacity for evidence-informed policymaking: the role of a science-for-policy system – Kathryn Oliver 2022

This report sets out a conceptual map for potential elements of a science-for-policy advisory ecosystem. The aim of this map is not to propose an ideal system, but rather to highlight how elements need to connect with each other at multiple levels; to allow us to ask how all involved in evidence production, mobilisation and…

Commentary: Policy assessments to enhance EU scientific advice – Martin Kowarsch – Nature Climate Change – 2015

The European Commission needs to amend its new Scientific Advice Mechanism. Highly integrated, participatory assessments of policy alternatives are required for multidimensional, value-laden policy issues such as the European Union’s climate and energy policies….

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