Since its creation, DataKind has helped charities do some fantastic things with data science through volunteers from the data science community who provide the data science resource that not-for-profits can’t marshal themselves. But charities often don’t know what to do next. Duncan Ross and Emma Prest share lessons learned from working with social sector organizations, surveys, and detailed interviews and outline a data maturity model for doing good with data. Along the way, they explore case studies of projects in different stages of maturity and explain how charities (and other organizations) can use the model to understand what their next steps should be.
Duncan Ross is chief data officer at Times Higher Education. Duncan has been a data miner since the mid-1990s. Previously at Teradata, Duncan created analytical solutions across a number of industries, including warranty and root cause analysis in manufacturing and social network analysis in telecommunications. In his spare time, Duncan has been a city councilor, chair of a national charity, founder of an award-winning farmers market, and one of the founding directors of the Institute of Data Miners. More recently, he cofounded DataKind UK and regularly speaks on data science and social good.
Emma Prest is the general manager of DataKind UK, where she handles the day-to-day operations supporting the influx of volunteers and building understanding about what data science can do in the charitable sector. Emma sits on the Editorial Advisory Committee at the Bureau of Investigative Journalism. She was previously a program coordinator at Tactical Tech, providing hands-on help for activists using data in evidence-based campaigns. Emma holds an MA in public policy with a specialization in media, information, and communications from Central European University in Hungary and a degree in politics and geography from the University of Edinburgh, Scotland.
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