Public policy in the ‘big data’ age: Gavin Freeguard introduction
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The document discusses the implications of big data on public policy, highlighting its potential to transform various sectors by providing new insights and opportunities. It emphasizes the challenges associated with big data, including issues of bias, the need for ethical guidelines, and the importance of blending diverse skills to harness its potential. The discussion includes contributions from various experts and reflects on the future of official statistics in the big data era.
Public policy in the ‘big data’ age: Gavin Freeguard introduction
- 1. Public policy in the ‘Big Data’ age Gavin Freeguard, Institute for Government (Chair) Roeland Beerten, Royal Statistical Society | Ellen Broad, Open Data Institute #bigdata @YoungPolicyProsNetwork: visnet youngpolicyprofessionals.org @NAOorguknao.org.uku/n: YPP p/w: NAO Alex Krasodomski-Jones, Demos, CASM | Martin Ralphs, Office for National Statistics Introduced by Nick Halliday, National Audit Office Hosted by:
- 2. Tonight’s speakers @roelandb @RoyalStatSocRoeland Beerten RSS Ellen Broad ODI Alex Krasodomski-Jones Demos Martin Ralphs ONS Gavin Freeguard IfG Nick Halliday NAO @ellenbroad @ODIHQ @akrasodomski @Demos @GoodPracticeMR @ONS @GavinFreeguard @instituteforgov @nickmhalliday @NAOorguk
- 3. What is ‘big data’? ‘Half a century after computers entered mainstream society, the data has begun to accumulate to the point where something new and special is taking place. Not only is the world awash with more information than ever before, but that information is growing faster.’ Big Data: A Revolution That Will Transform How We Live, Work and Think Viktor Mayer-Schonberger and Kenneth Cukier, 2013
- 4. Increasing volume of data 2,500,000,000,000,000,000 (2.5 x 1018) 90% 2 years c.280BC 320x 5x 2007 2 years 2000
- 5. The ‘Internet of Things’
- 6. Not just about volume ‘The change of scale has led to a change of state. The quantitative change has led to a qualitative one’ Big Data: A Revolution That Will Transform How We Live, Work and Think Viktor Mayer-Schonberger and Kenneth Cukier, 2013
- 7. Three profound changes Pristine Messy Samples n = all Causation Correlation
- 8. Opportunities of big data ‘to extract new insights or create new forms of value, in ways that change markets, organizations, the relationship between citizens and governments, and more’ Big Data: A Revolution That Will Transform How We Live, Work and Think Viktor Mayer-Schonberger and Kenneth Cukier, 2013
- 9. 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 0 0 BIG DATA BIG DANGER?
- 10. Challenges of big data Statistical • e.g. how do we deal with bias in these new sources? Technical • e.g. lots of legacy technology in government, including security Ethical • e.g. how do we create rules to ensure our work is trustworthy and good? Commercial • e.g. has to be a new business model – public value and commercial benefit Skills • e.g. blend of statistics, mining, computing, community needed to unleash potential ‘What is the future of official statistics in the Big Data era?’ event John Pullinger, January 2015
- 11. Public policy in the ‘Big Data’ age Gavin Freeguard, Institute for Government (Chair) Roeland Beerten, Royal Statistical Society | Ellen Broad, Open Data Institute #bigdata @YoungPolicyProsNetwork: visnet youngpolicyprofessionals.org @NAOorguknao.org.uku/n: YPP p/w: NAO Alex Krasodomski-Jones, Demos, CASM | Martin Ralphs, Office for National Statistics Introduced by Nick Halliday, National Audit Office Hosted by: