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Tom Smith: Data Science for Public Good

Swirrl
June 15, 2017

Tom Smith: Data Science for Public Good

Tom's presentation centred on the new data science campus and the role it plays in using data analysis to grow the economy. He includes examples of their work and a call to arms for anyone using ons data to get in touch. This deck supports the talk Tom gave at Swirrl's 2017 data conference. To see this, and other, talks from the day head to http://power-of-data-2017.swirrl.com/

Swirrl

June 15, 2017
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Transcript

  1. ONS Data Science Campus
    SYG Campws Gwyddor Data
    Tom Smith
    MD, Data Science Campus
    @_datasmith

    View Slide

  2. Economy
    GDP
    Inflation
    Labour market
    People
    Population
    Census
    Incomes
    The world
    Trade
    Sustainable
    Development

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  3. “Although better use of [data] has the
    potential to transform the provision of
    economic statistics, ONS will need to
    build up its capability to handle such
    data.
    This will take some time and will
    require not only recruitment of a cadre
    of data scientists but also active
    learning and experimentation.
    That can be facilitated through
    collaboration with relevant partners –
    in academia, the private and public
    sectors, and internationally.”
    Independent Review of Economic Statistics
    Professor Sir Charles Bean, 2016, p.11
    The Elvetham, Hampshire

    View Slide

  4. London Transport workers manually examine over 4 million
    tickets to identify most and least popular routes, March 1939
    Gerry Cranham/Fox Photos/Hulton Archive/Getty Images
    “The 21st Century has brought new
    challenges in the analysis of data,
    and it is increasingly apparent that
    solutions to these are both statistical
    and computational. This has led to a
    great demand for people both in
    industry and in research who are able
    to draw upon the mathematics of both
    computation and probability to make
    sense of the large amounts of data
    that are collected in order to solve
    major problems.
    Data science is an interdisciplinary
    response to this demand”
    - University of Warwick

    View Slide

  5. “The 21st Century has brought new
    challenges in the analysis of data,
    and it is increasingly apparent that
    solutions to these are both statistical
    and computational. This has led to a
    great demand for people both in
    industry and in research who are able
    to draw upon the mathematics of both
    computation and probability to make
    sense of the large amounts of data
    that are collected in order to solve
    major problems.
    Data science is an interdisciplinary
    response to this demand”
    - University of Warwick
    Transport for London 2016 pilot, assessing journeys by WiFi access

    View Slide

  6. UKSA Chair Sir Andrew Dilnot tours the Campus with
    Scott Howell, Jason Ryan and Tom Smith, March 2017
    Building the Data Science Campus
    • Funding approved in Mar 2016
    • Start-up team in place in Jul 2016
    • 1st Data Scientist in Aug 2016
    • 1st Academic Manager in Sep 2016
    • Research commenced in Sep 2016
    • 1st Apprentices in Nov 2016
    • 1st Business Support in Dec 2016
    • MD joined in Jan 2017
    • Headcount reached 26 FTE in Mar 2017
    • Projected Headcount to reach 50-60 FTE
    by March 2018

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  7. Data Science Campus data scientists collaborating
    with colleagues at the Alan Turing Institute, Jan 2017
    Data Science for Public Good
    Research activities commenced in
    September 2016 under five core themes:
    Economic Statistics
    • The Evolving Economy
    • UK in a Global Context
    Social Data
    • Urban and Rural
    • Society
    Sustainable Development Goals
    • Sustainability
    Six research projects are underway and two
    rapid prototyping data dissemination tools
    have been built for partners

    View Slide

  8. Mapping urban trees
    Natural Capital – urban tree & foliage coverage

    View Slide

  9. Mobile phone data and daytime population
    GDP and Road Traffic
    • Road Traffic predicts GDP
    by 1 quarter
    • Correlation
    82% from 2010-Q3 until 2014-Q4
    91% from 2011-Q2 until 2014-Q4

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  10. Mapping poverty using mobile phone and satellite data, Steele et al (Feb 2017), Journal of the Royal Society
    Interface, 14:127. http://rsif.royalsocietypublishing.org/content/14/127/20160690

    View Slide

  11. Growing Data Science Skills
    Apprenticeship in Data Analytics
    • Developed with ONS Learning Academy
    • Two-year vocational programme
    • 2 rounds - 280 applications, 23 apprentices
    (Campus, ONS and Welsh Government)
    MSc Data Analytics for Government
    • Developed with ONS Learning Academy &
    GSS Professional Support
    • Dedicated Data Science pathway
    • Multiple Academic partners
    • First intake in September 2017
    Data Science Accelerator
    • Government Data Science Partnership with
    GDS and GO-Science
    • 3-month programme
    • Open to all Public Sector staff
    • South & West Hub @ Data Science Campus
    London Transport workers manually examine over 4 million
    tickets to identify most and least popular routes, March 1939
    Gerry Cranham/Fox Photos/Hulton Archive/Getty Images

    View Slide

  12. ONS  Data  Science  Campus  
    SYG  Campws Gwyddor Data
    email [email protected]
    web datasciencecampus.ons.gov.uk
    twitter @DataSciCampus
    Tom Smith @_datasmith

    View Slide