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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 [email protected]/n: YPP p/w: NAO
Alex Krasodomski-Jones, Demos, CASM | Martin Ralphs, Office for National StatisticsIntroduced by Nick Halliday, National Audit Office
Hosted by:
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
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 ThinkViktor Mayer-Schonberger and Kenneth Cukier, 2013
Increasing volume of data2,500,000,000,000,000,000(2.5 x 1018)
90%2 years
c.280BC320x
5x
2007
2 years
2000
The ‘Internet of Things’
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 ThinkViktor Mayer-Schonberger and Kenneth Cukier, 2013
Three profound changes
Pristine
Messy
Samples
n = all
Causation
Correlation
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 ThinkViktor Mayer-Schonberger and Kenneth Cukier, 2013
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BIG DATA BIG DANGER?
Challenges of big dataStatistical• 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
benefitSkills• 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
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 [email protected]/n: YPP p/w: NAO
Alex Krasodomski-Jones, Demos, CASM | Martin Ralphs, Office for National StatisticsIntroduced by Nick Halliday, National Audit Office
Hosted by:
