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David De Roure

David De Roure. Christine Borgman. Nigel Shadbolt et al. Edwards, P. N., et al. (2013) Knowledge Infrastructures: Intellectual Frameworks and Research Challenges . Ann Arbor: Deep Blue. http:// hdl.handle.net /2027.42/97552. The Order of Social Machines.

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David De Roure

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  1. David De Roure

  2. Christine Borgman

  3. Nigel Shadbolt et al

  4. Edwards, P. N., et al. (2013) Knowledge Infrastructures: Intellectual Frameworks and Research Challenges. Ann Arbor: Deep Blue. http://hdl.handle.net/2027.42/97552

  5. The Order of Social Machines 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)

  6. Some Social Machines

  7. SOCIAM: The Theory and Practiceof Social Machines http://www.sociam.org/ EPSRC Programme Grant (June 2012 - May 2017) • Southampton Shadbolt, Hall,Berners-Lee, Moreau (ECS) • Edinburgh Robertson, Buneman (CS) • Oxford De Roure (e-Research)

  8. Behaviour is sociallyconstituted, notprogrammed in • Research into pioneering methods of supporting purposeful human interaction on the World Wide Web, of the kind exemplified by phenomena such as Wikipedia and Galaxy Zoo. • These collaborations are empowering, as communities identify and solve their own problems, harnessing their commitment, local knowledge and embedded skills, without having to rely on remote experts or governments. • The ambition is to enable us to build social machines that solve the routine tasks of daily life as well as the emergencies… to develop the theory and practice so that we can create the next generation of decentralised, data intensive, social machines. • Understanding the attributes of the current generation of successful social machines will help us build the next. http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/J017728/1 We are interested in design

  9. www.zooniverse.org

  10. ImageClassification TalkForum Citizen Scientists Scientists data reduction

  11. Towards a classification framework for social machines. Nigel Shadbolt, Daniel Alexander Smith, Elena Simperl, Max Van Kleek, Yang Yang,. Wendy Hall.

  12. Trajectories... distinguished by purpose Trajectories through Social Machines https://sites.google.com/site/bwebobs13/ Kevin Page

  13. http://botornot.net Cat De Roure

  14. Web Observatories Web as lens Web asinfrastructure Web as artefact http://www.w3.org/community/webobservatory/

  15. Towards a socio-technicalsystem ofobservatories Technical and business interface

  16. Big data elephant versus sense-making network? Iain Buchan 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 and narratives.

  17. Jun Zhao www.researchobject.org Join the W3C Community Group www.w3.org/community/rosc

  18. WOW2014 Web Observatory Workshop at WWW2014 • Fluctuation and Burst Response in Social Media • Humour Reactions in Crisis: A Proximal analysis of Chinese posts on SinaWeibo in Reaction to the Salt Panic of March 2011 • Legal and Ethical Considerations: Step 1b in Building a Health Web Observatory • Observing the Web by Understanding the Past: Archival Internet Research • The Design of a Live Social Observatory System • Towards a Taxonomy for Web Observatories • Visualising Data in Web Observatories: A Proposal for Visual Analytics Development & Evaluation • Zooniverse: Observing the World’s Largest Citizen Science Platform

  19. In Conclusion • The future is Big Data and Big Social… and with increasing automation and machine-to-machine • The Theory, Practice, Design and Construction of Social Machines are emerging areas of study • Try thinking about your projects in terms of an ecosystem of interacting Social Machines instead of layers of computer systems and users • There are growing Social Machines and Web Observatory communities (join the Web Observatory Community Group!)

  20. david.deroure@oerc.ox.ac.uk www.oerc.ox.ac.uk/people/dder @dder 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 SmartSociety: Hybrid and Diversity-Aware Collective Adaptive Systems: When People Meet Machines to Build a Smarter Society funded by 7th Framework Programme FP7-ICT-2011-9 Grant Agreement 600854. See www.smart-society-project.eu

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