Ryan Dunn is a lead data scientist in the UK government’s Department for Work and Pensions. He is currently developing digital data products to transform public sector decision making.
A proud civil servant, Ryan believes we achieve better outcomes for society by collaborating across boundaries. Over the last ten years, he has worked in data innovation roles where he has enjoyed establishing strategies, building teams and developing people.
Ryan’s background is in mathematics, statistics and management science. He has a keen interest in data visualisation and is passionate about opening up data by embracing technology and designing with empathy.
Talk Abstract: Transforming Open Data to Support Knowledge Economy & Evidence Based Policies
The UK government has announced major strategies and significant investment to support the growth of productivity and earning power in the economy. Within these plans, there is a strong focus on innovation with data, collaboration across sectors and developing local strategies.
This talk will cover work by the Department for Work and Pensions to develop and prototype digital data products to support the collaborative development of local strategies across government.
The products bring together and present socio-economic data in a way that it can be understood for decision making by embedding machine learning and developing more thoughtful visualisations to preserve important context.