Harnessing the power of data science for public sector
Governments are increasingly relying on an analysis of data (increasingly including text and images) to improve service provision for citizens in a variety of policy areas including education, criminal justice and health. This talk will survey trends within this use and explain what successful data-driven government might look like. We will first discuss applications of data, for instance, to plan services, evaluate policy and target government programs. Then we will move onto how these applications might be integrated into digital systems including dashboards and case management systems. Finally, we will discuss challenges around upskilling analytical units as well as legal and ethical challenges.
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Daniel Bogiatzis Gibbons
Daniel Bogiatzis Gibbons is BIT's Head of Data Science, responsible for leading its work on predictive analytics, language processing and exploratory data analysis. This work has included predicting the outcomes of school and hospital inspections, advising on the design of data systems for organizations that provide adult social care and conducting evaluations into smart energy products for Google. Daniel has a Masters of Philosophy in Economic Research from the University of Cambridge and a Masters of Science in Mathematics from the University of Queensland.
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Kristína Londáková
Kristina Londakova is Advisor at BIT, on secondment to the UK Cabinet Office’s Project Team, a special unit in charge of developing innovative policies. While at BIT, she has led over 20 innovation research projects, in the UK, France and Slovakia, that involved design, implementation and experimental evaluation of behaviourally-informed interventions in areas such as healthcare, employment and gender equality. Kristina holds a Dual Master’s in International Economic Policy and Political Economy from the London School of Economics and Sciences Po Paris.
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