Cath is the Quantitative Research Fellow at Nesta. Her work aims to show how we can draw new insights from novel sources of big data, with a recent focus on two areas: improving labour market information and measuring diversity in the creative economy, such as the gender imbalance in UK film. She specialises in creating interactive data visualisations. In 2015 she won the Bank of England’s data visualisation competition and in 2018 won a special judges award for ‘A Forest of Funders’ in 360Giving’s data visualisation competition. She has been shortlisted twice for an Information is Beautiful award – most recently for Making Sense of Skills which showcases the UK’s first data-driven skills taxonomy that is publicly available.
Prior to Nesta, Cath was a Gates Scholar at Cambridge, completing a PhD in Economics. Her thesis evaluated a selection of public policies in the UK, including the 2008 temporary cut in VAT. She has previously worked for two years as a UK Economist at Morgan Stanley and for four years as a Senior Economic Analyst at the Reserve Bank of New Zealand.
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