28 June 2018
This session highlighted the potential opportunities provided by data science and AI, and how these might influence or aid future policymaking.
15 June 2018
CSaP’s Continuing Policy Fellows came together last month to discuss broad challenges in developing evidence informed policy, as well as the potential use of advances in data science and digital technologies for public policy.
13 June 2018
Medical imaging technologies are advancing at an unprecedented rate, providing a challenge for NHS England to keep up to date with the latest developments.
16 November 2017
A new major study suggests that the UK has one of the best digital economies of any country in the world, which is highly evolved and quickly advancing. Given this context, Matthew Hancock MP, gave his vision of harnessing the creativity and innovation in the UK to create new entrepreneurs.
7 August 2017
There is an increasing need for environmental data to inform policy decisions. At the same time, technical advances, including in data science, are leading to the prospect of being able to provide information about environmental risks across an increasingly broad spectrum of policy-relevant issues.
13 June 2017
Last month, CSaP hosted a roundtable discussion to explore the potential of the Cambridge technology cluster in the context of the UK’s Industrial Strategy.
21 April 2017
How can the European Commission build a "human centred" internet that is inviting to people and busi...
In 2018, the European Commission will launch its Next Generation Internet (NGI) initiative, which aims to make the internet more "open" and "human".
7 April 2017
Planning for the future of urban mobility balances the need to reduce the amount of cars on the road whilst also maximising access to transportation. A meeting for CSaP's Policy Fellows considered 'The Future of Urban Mobility'.
20 March 2017
A CSaP Policy Workshop to brainstorm ideas on how the NIHR can measure the impact of its interventions brought together academic experts with senior policy makers for an exploratory discussion.
16 February 2017
How can machine learning techniques improve our understanding of climate change risks in the future?
Dr Emily Shuckburgh explains how machine learning techniques can be used to improve climate model predictions and provide a more sophisticated understanding of climate change risks in the future.