Chris leads a program of work around civic and political engagement and effective government. Prior to that, he worked in the New York team at BIT supporting trial design and data analysis. He has extensive experience applying predictive modelling to understanding complex and multistakeholder policy issues at national and sub-national levels in areas including pensions, adult numeracy and literacy, social care, children’s services, community cohesion, and consumer behaviour. His work in the US has involved working with cities to integrate the use of experimental methods and behavioral science in the policy development process.
Chris completed his Master’s degree in Political Science and Political Economy at the London School of Economics. Prior to university, he worked with Buckinghamshire County Council planning and establishing an advocacy group for looked after young people.