Big Data and Social
Machines
David De Roure
e-Research Centre, University of Oxford
@dder
Overview
1. Big Data for research (UK perspective)
2. Several shifts in scholarship
3. Social Machines
4. Towards a new kn...
Edwards, P. N., et al. (2013) Knowledge Infrastructures: Intellectual Frameworks
and Research Challenges. Ann Arbor: Deep ...
Big Data doesn‟t
respect disciplinary
boundaries
Digital Social Research
theODI.org
The Big Picture
More people
Moremachines
Big Data
Big Compute
Conventional
Computation
“Big Social”
Social Networks
e-infr...
Research Councils UK and Big
Data
▶ „Big data is a term for a collection of datasets
so large and complex that it is beyon...
Big Data Network
Research benefits of new data
▶ Undertaking research on pressing policy-related issues
without the need for new data colle...
http://www.theguardian.com/uk/series/reading-the-riots
E-infrastructureLeadership
NeilChueHong
Mandy Chessell
F i r s t
Interdisciplinary and “in the wild” *
* “in it” versus “on it”
Nigel Shadbolt et al
Real life is and must be full of all kinds of social
constraint – the very processes from which
society arises. Computers ...
SOCIAM: The Theory and Practice of Social Machines is funded by the UK Engineering and Physical Sciences Research Council
...
Physical World
(people and devices)
Building a Social Machine
Design and
Composition
Participation and
Data supply
Model o...
Kevin Page
Cat De Rourehttp://botornot.net
A revolutionary idea…
Open Science!
http://rstl.royalsocietypublishing.org/
Join the W3C Community Group www.w3.org/community/rosc
Jun
Zhao
www.researchobject.org
www.force11.org
Web as
lens
Web as
artefact
Web
Observatories
http://www.w3.org/community/webobservatory/
Big data elephant versus sense-making
network?
The challenge is to foster the co-constituted socio-technical
system on the...
Pip
Willcox
@marstonbikepath
Datasets or dataflows?
Take homes
▶ There are multiple shifts in scholarship occurring:
– Volumes of data and associated automation
– Computation...
david.deroure@oerc.ox.ac.uk
www.oerc.ox.ac.uk/people/dder
@dder
Slide and image credits: Fiona Armstrong, Christine Borgma...
www.oerc.ox.ac.uk
david.deroure@oerc.ox.ac.uk
@dder
Big Data and Social Machines
Big Data and Social Machines
Big Data and Social Machines
Big Data and Social Machines
Big Data and Social Machines
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Big Data and Social Machines

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Chalmers Initiative Seminar on Big Data, 25th March 2014

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  • EPSRC: Under ‘Big Data’ we are considering both very large and also complex data, including dynamic and heterogenous data from all the various sources including sensors, social media, industry etc.
  • ESRC was allocated 64m and much of this is being used to set up the ESRC Big Data Network. The ESRC’s Big Data Network will support the development of a network of innovative investments which will strengthen the UK’s competitive advantage in Big Data for the social sciences. The core aim of this network is to facilitate access to different types of data and thereby stimulate innovative research and develop new methods to undertake that research. Although you should note that diagram it is only illustrative in terms of how the UKDS and ADS will work across – that is still under discussion; and only illustrative in the number of Business and Local Government Data Research.This network has been divided into three phases. In Phase 1 of the Big Data Network the ESRC has invested in the development of the Administrative Data Research Network (ADRN) which will provide access to de-identified administrative data collected by government departments for research use – focus of this meeting and all your grants.A few words about Phase 2 and 3 before we pass to Vanessa to talk about the ADRN some more. Phase 2is currently bring commissioned and will deal primarily with business data and/ or local government data. Phase 3, further details of which will be released in the last autumn / winter and will focus primarily on third sector data and social media data. It is expected that there will be opportunities for interaction across all elements of the ESRC Big Data Network and that they will all work together around the wider objectives of facilitating access to different forms of data and of ensuring maximum impact is generated from the use of that data for the mutual benefit of data owners and researchers, and through the research facilitated by the Network, benefit society and the economy more generally.
  • Thanks to Simon Hettrick for additional input to this slide.
  • ESRC Cities Expert Group
  • Big Data and Social Machines

    1. 1. Big Data and Social Machines David De Roure e-Research Centre, University of Oxford @dder
    2. 2. Overview 1. Big Data for research (UK perspective) 2. Several shifts in scholarship 3. Social Machines 4. Towards a new knowledge infrastructure
    3. 3. Edwards, P. N., et al. (2013) Knowledge Infrastructures: Intellectual Frameworks and Research Challenges. Ann Arbor: Deep Blue.
    4. 4. Big Data doesn‟t respect disciplinary boundaries Digital Social Research
    5. 5. theODI.org
    6. 6. The Big Picture More people Moremachines Big Data Big Compute Conventional Computation “Big Social” Social Networks e-infrastructure online R&D Big Data Production & Analytics deeply about society
    7. 7. Research Councils UK and Big Data ▶ „Big data is a term for a collection of datasets so large and complex that it is beyond the ability of typical database software tools to capture, store, manage, and analyse them. „Big‟ is not defined as being larger than a certain number of „bytes‟ because as technology advances over time, the size of datasets that qualify as big data will also increase‟ (RCUK)
    8. 8. Big Data Network
    9. 9. Research benefits of new data ▶ Undertaking research on pressing policy-related issues without the need for new data collection • Food consumption, social background and obesity • Energy consumption, housing type and climatic conditions • Rural location, private/public transport alternatives and incomes • School attainment, higher education participation, subject choices, student debt and later incomes ▶ New data such as social media enable us to ask big questions, about big populations, and in real time – this is transformative
    10. 10. http://www.theguardian.com/uk/series/reading-the-riots
    11. 11. E-infrastructureLeadership
    12. 12. NeilChueHong
    13. 13. Mandy Chessell
    14. 14. F i r s t
    15. 15. Interdisciplinary and “in the wild” * * “in it” versus “on it”
    16. 16. Nigel Shadbolt et al
    17. 17. Real life is and must be full of all kinds of social constraint – the very processes from which society arises. Computers can help if we use them to create abstract social machines on the Web: processes in which the people do the creative work and the machine does the administration... The stage is set for an evolutionary growth of new social engines. The ability to create new forms of social process would be given to the world at large, and development would be rapid. Berners-Lee, Weaving the Web, 1999 (pp. 172–175) The Order of Social Machines
    18. 18. SOCIAM: The Theory and Practice of Social Machines is funded by the UK Engineering and Physical Sciences Research Council (EPSRC) under grant number EPJ017728/1 and comprises the Universities of Southampton, Oxford and Edinburgh. See sociam.org
    19. 19. Physical World (people and devices) Building a Social Machine Design and Composition Participation and Data supply Model of social interaction Virtual World (Network of social interactions) Dave Robertson
    20. 20. Kevin Page
    21. 21. Cat De Rourehttp://botornot.net
    22. 22. A revolutionary idea… Open Science! http://rstl.royalsocietypublishing.org/
    23. 23. Join the W3C Community Group www.w3.org/community/rosc Jun Zhao www.researchobject.org
    24. 24. www.force11.org
    25. 25. Web as lens Web as artefact Web Observatories http://www.w3.org/community/webobservatory/
    26. 26. Big data elephant versus sense-making network? The challenge is to foster the co-constituted socio-technical system on the right i.e. a computationally-enabled sense- making network of expertise, data, models, visualisations and narratives Iain Buchan
    27. 27. Pip Willcox @marstonbikepath Datasets or dataflows?
    28. 28. Take homes ▶ There are multiple shifts in scholarship occurring: – Volumes of data and associated automation – Computational infrastructure and realtime analytics – Dataflows vs datasets (and curation infrastructure) – Correlation vs causation – Responsible Innovation – Machine-to-Machine and Internet of Things ▶ Social Machines provide an approach to co- design and analysis in the evolving knowledge infrastructure
    29. 29. david.deroure@oerc.ox.ac.uk www.oerc.ox.ac.uk/people/dder @dder Slide and image credits: Fiona Armstrong, Christine Borgman, Iain Buchan, Mandy Chessell, Cat De Roure, Neil Chue Hong, Dave Robertson, Nigel Shadbolt, Pip Willcox, Jun Zhao, Guardian, Royal Society
    30. 30. www.oerc.ox.ac.uk david.deroure@oerc.ox.ac.uk @dder

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