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Bigger data, better policy?
Public Policy in the Big Data Age
Young Policy Professionals - 9th March 2016
Roeland Beerten
Director of Policy & Public Affairs
r.beerten@rss.org.uk
@roelandb
Big Data: what’s in a name?
Google Trends “big data”, 29/02/16
Big Data: what’s in a name?
“Medium data”
“Rich data”
“Deep data”
“We’re dripping with data”
Data is everywhere
Big Data: what’s in a name?
• More data being generated
• Transactional, IoT
• More processing power
• More interest in data
• Implications?
• Policy making
• Ethics: public trust – and further
Bigger data, better policy?
• Huge potential of having more data
• But data are the raw material
• Should data inform policy, or evidence?
• What’s the difference?
Bigger data, better policy?
Data are not error-free
Bigger data, better policy?
Data are not value-free
Bigger data, better policy?
Bigger data, better policy?
From data to evidence
• Who asks the questions?
• Who makes the judgements?
• Professional qualifications?
• Frameworks for quality (e.g. UKSA CoP)
• Culture change – but boundaries of change:
• Data skills and literacy important for all
• Ethics
Big data ethics
• More possibilities, also more risks
• Estimate ethnicity based on surnames?
• Micro-targeting for advertising
• Categorised web users into “probably bipolar”,
“daughter killed in car crash”, “rape victim”, and
“gullible elderly”
Big data ethics
Not just data itself – algorithms are black boxes
Big data ethics
Public concerns, but wider
• Data trust deficit
• Wider: coverage, group privacy, discrimination
Which mechanisms?
• Professional competence, frameworks
• Transparency
• Public engagement, test beds, positive use cases
• Council for Big Data Ethics
Want to know more?
The Opportunities and Ethics of Big Data
http://www.rss.org.uk/Images/PDF/influencing-change/2016/rss-report-opps-and-ethics-of-
big-data-feb-2016.pdf
Number Hygiene
http://www.statslife.org.uk/images/pdf/rss-number-hygiene-list-2014.pdf
RSS Courses: Presenting Data
Understanding and Analysing Data
www.rss.org.uk/courses

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Public policy in the ‘big data’ age: Roeland Beerten presentation

  • 1. Bigger data, better policy? Public Policy in the Big Data Age Young Policy Professionals - 9th March 2016 Roeland Beerten Director of Policy & Public Affairs r.beerten@rss.org.uk @roelandb
  • 2. Big Data: what’s in a name? Google Trends “big data”, 29/02/16
  • 3. Big Data: what’s in a name? “Medium data” “Rich data” “Deep data” “We’re dripping with data” Data is everywhere
  • 4. Big Data: what’s in a name? • More data being generated • Transactional, IoT • More processing power • More interest in data • Implications? • Policy making • Ethics: public trust – and further
  • 5. Bigger data, better policy? • Huge potential of having more data • But data are the raw material • Should data inform policy, or evidence? • What’s the difference?
  • 6. Bigger data, better policy? Data are not error-free
  • 7. Bigger data, better policy? Data are not value-free
  • 9. Bigger data, better policy? From data to evidence • Who asks the questions? • Who makes the judgements? • Professional qualifications? • Frameworks for quality (e.g. UKSA CoP) • Culture change – but boundaries of change: • Data skills and literacy important for all • Ethics
  • 10. Big data ethics • More possibilities, also more risks • Estimate ethnicity based on surnames? • Micro-targeting for advertising • Categorised web users into “probably bipolar”, “daughter killed in car crash”, “rape victim”, and “gullible elderly”
  • 11. Big data ethics Not just data itself – algorithms are black boxes
  • 12. Big data ethics Public concerns, but wider • Data trust deficit • Wider: coverage, group privacy, discrimination Which mechanisms? • Professional competence, frameworks • Transparency • Public engagement, test beds, positive use cases • Council for Big Data Ethics
  • 13. Want to know more? The Opportunities and Ethics of Big Data http://www.rss.org.uk/Images/PDF/influencing-change/2016/rss-report-opps-and-ethics-of- big-data-feb-2016.pdf Number Hygiene http://www.statslife.org.uk/images/pdf/rss-number-hygiene-list-2014.pdf RSS Courses: Presenting Data Understanding and Analysing Data www.rss.org.uk/courses