DataKind UK

DataKind UK

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Pivotal, The Bower, 211 Old Street, London, EC1V 9NR

Registered address:

10 Portfleet Place, London N1 5SZ

DataKind UK launched in April 2013 as DataKind's first Chapter. It is an independently-run charity that upholds DataKind's vision of using data in the service of humanity.
DataKind UK supports charities and social enterprises large and small across a variety of issue areas. We run DataDive weekends in London and further afield focused on exploratory analysis and prototyping; and we undertake ambitious DataCorps projects with nonprofits to deliver cutting-edge data science solutions. If you work for a UK-based nonprofit and have a data science project you want help with please submit your project here. If your nonprofit needs advice on working with data then sign up to attend our monthly office hours.
If you have data science or project management skills and would like to volunteer, then we’d love to hear from you - tell us about yourself!
DataKind UK is supported by a range of British companies and foundations. A huge thank you to Pivotal Labs for hosting the DataKind UK team in their Old Street offices.
DataKind UK is a charity registered in England & Wales (No. 1154213)

Company limited by guarantee registered in England & Wales (No. 08462148)

Meet the Team

  • Emma Prest, Executive Director

    Emma oversees the running of DataKind UK, leading the community 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 programme coordinator at Tactical Tech, providing hands-on help for activists using data in campaigns. Emma holds an MA in Public Policy with a specialism in Media, Information & Communications from Central European University in Hungary and a degree in Politics and Geography from the University of Edinburgh, Scotland.

  • Duncan Ross, Chair of Trustees

    Duncan has been a data miner for far too long, and is the Data and Analytics Director for TES Global. As part of this role he talks to customers and prospects across the world about the joys of data science - which is why he got involved in DataKind. If companies could do this, then why not charities? He twisted Jake's arm to let him set up DataKind UK with Fran, Kaitlin and Hannah. He is a serial volunteer, having been a City Councillor, chair of trustees of a national charity, founder of a farmers' market, press officer for a historic building on reality TV, co-counder of the Society of Data Miners, and one of the first UK Data Ambassadors when DataKind came calling. He lives in a town designed to caused severe pronunciation problems in the US: Ashby de la Zouch in Leicestershire.   

  • Fran Bennett, Trustee

    Fran runs a startup called Mastodon C, which is made up of big data technology specialists. She spends her days talking to big enterprises and governments about the exciting potential of making better use of data. For the past seven years, she was also a trustee of a mental health charity in Hackney, East London, which makes her doubly excited about the potential to bring better use of data to the charity sector!

  • Hannah Underwood, Trustee

    Hannah has long been a science boffin, fascinated in how people learn, behave and develop. For almost 10 years, Hannah has led The Key, a charity which empowers young people to unlock their potential. After The Key was lucky enough to benefit from the UK’s first-ever DataDive, Hannah was hooked. She continued to drive a data agenda through the heart of her small charity and was honored to become a Director of DataKind UK. Hannah wants more charities to understand the importance and power of data and to how it can be used to maximise the impact they make in society. Hannah also brews beer, competes at ten-pin bowling, loves smashing up old houses and is a Trustee for a 78 year old boutique cinema.

  • Alexandra Rehak, Trustee

    Alexandra Rehak is an independent strategy consultant and analyst with over 20 years of experience in the telecoms, media and technology sector, focusing on the Internet of Things, digital health and big data. She’s currently an Associate Partner with STL Partners where she helps companies find the best ways to analyse and interpret data. After volunteering for DataKind UK in early 2015 to support a children’s health charity, Auditory Verbal, she was hooked on the idea of data for good! Alexandra is a born-and-bred New Yorker, but now lives with her family in Cambridge. She dreams of someday introducing real bagels to the UK.

  • Jake Porway, Trustee

    Jake is a machine learning and technology enthusiast who loves nothing more than seeing good values in data. He founded DataKind™ in the hopes of creating a world in which every social organization has access to data capacity to better serve humanity. He was most recently the data scientist in the New York Times R&D lab and remains an active member of the data science community. He holds a B.S. in Computer Science from Columbia University and his M.S. and Ph.D. in Statistics from UCLA.

  • Kate Vang, Chapter Leader

    As chapter lead for community, Kate works to build an engaged community of Data Ambassador volunteers. She first built a career in investment management at Värde Partners, where she worked in roles across risk management, trading, investment, data strategy and portfolio strategy. In late 2015, she left to pursue her passions for data science and social impact; today she consults with charities, NGOs and corporates to find stories and insights in data.

  • Gianfranco Cecconi, Chapter Leader

    Gianfranco is DataKind UK's current lead for the Programmes Committee: the volunteer body that is responsible for specifying the format of the services we provide to our partners and supporting them through suitable processes, documentation and tools. His indie consultancy, Digital Contraptions Imaginarium, focuses on the sweet spot between data, people and technology. As an associate to the Open Data Institute in London, he developed a fixation for alternative models to share information: open source, open and shared data, innovation and culture in general.

  • Billy Wong, Chapter Leader

    Billy leads the Selection, Scoping and Impact Committee, which is responsible for aligning DataKind UK with the right charity partners and the right projects to achieve social good. Billy grew up in Hong Kong and worked across Asia in the Business Intelligence industry. Billy also studied for an MBA at INSEAD, France, after which he joined BT Plc and led the analytical work for commercial deal negotiations. He currently works as a data scientist in the higher education sector and helps universities devise strategies using data-driven techniques. In his spare time, Billy enjoys theatre and long walks.

  • Joe Harris, Chapter Leader

    As Chapter lead for the community, Joe works to strengthen and expand our engaged community of DataKind volunteers. He built his career in consulting roles and traveled the world to embed analytical approaches within major retailers. Now Joe is merely a freelance data scientist, sports fan and maths-lover. He the founder of White Ball Analytics, a company that specializes in applying and communicating data science to change the game of cricket.

  • Michelle Lee

    Michelle is a manager working on AI Solutions in the Risk Analytics Data Science team at Deloitte UK and is their designated Subject Matter Expert in supervised machine learning. Currently, she leads the EMILIE chatbot development at Deloitte and also manages the creation of an AI Risk and Governance Framework, focused on combating algorithmic risks and putting in place robust controls and testing procedures.  Michelle served as a guest lecturer at the Imperial College in Financial Economics and Business Analytics and a panelist at the UCL Education Conference on the topic of "Creating unbiased algorithms in a biased society." She was also an invited speaker on the Data Science and Machine Learning track at QCon London 2016. In her free time, she volunteers with DataKind. Michelle is a graduate of Stanford University, where she studied Political Science and Symbolic Systems with a concentration in Decision-Making and Rationality.

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