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David De Roure, profile picture
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Social Machines Democratization

1) Social machines are hybrid systems of people and technology that allow for democratization and disintermediation by empowering citizens at scale. 2) They are studied as ecosystems of living, hybrid organisms where the successes and failures of instances inform the design of successors. 3) Stories and narrative play an important role in social machines by facilitating sociality, sustainability, and emergence through collaborative authorship and mixed authority.

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David De Roure @dder Social Machines: democratization, disintermediation, and citizens at scale DIRECTOR, UNIVERSITY OF OXFORD E-RESEARCH CENTRE
The Big Picture(s)
The  Big  Picture   More people Moremachines Big Data Big Compute Conventional Computation “Big Social” Social Networks e-infrastructure Online R&D (Science 2.0) Social Machines @dder
theODI.org
Data Detect Store AnalyticsFilter Analysts @dder
There is no such thing as the Internet of Things There is no such thing as a closed system Humans are creative and subversive The Rise of the Bots A Swarm of Drones Accidents happen (in the lab, bin) Holding machines to account Software vulnerability Where are the throttle points? @dder
Social Machines Empowered Citizens
Social  Machines  Defini6on  TBL   Pip Willcox
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
Scientists Talk Forum Image Classification data reduction Citizen Scientists
FundraisingThroughDigital:Howclicktivists,slacktivistsand hacktivistsarehelpingusbeatcancersooner—MichaelDocherty Photographs: Cancer Research UK
https://twitter.com/CR_UK/status/446223117841494016/ Some people's smartphones had autocorrected the word "BEAT" to instead read "BEAR". "Thank you for choosing an adorable polar bear," the reply from the WWF said. "We will call you today to set up your adoption." http://www.bbc.com/news/technology-26723457
http://chordify.net/
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 http://www.oecd.org/science/sci-tech/new-data-for-understanding-the-human-condition.htm
A rehearsal for the future ▶  The Internet of Things describes a world in which everyday objects are connected to a network so that data can be shared. ▶  But it is really as much about people as the inanimate objects. ▶  It is impossible to anticipate all the social changes that could be created by connecting billions of devices. https://www.gov.uk/government/publications/internet-of-things-blackett-review
Social Machines as disruptive (socio-)technology
“Yet  Wikipedia  and  its  stated  ambi6on  to  “compile  the  sum  of  all   human  knowledge”  are  in  trouble.  The  volunteer  workforce  that   built  the  project’s  flagship,  the  English-­‐language  Wikipedia—and   must  defend  it  against  vandalism,  hoaxes,  and  manipula6on— has  shrunk  by  more  than  a  third  since  2007  and  is  s6ll  shrinking…     The  main  source  of  those  problems  is  not  mysterious.  The  loose   collec6ve  running  the  site  today,  es6mated  to  be  90  percent   male,  operates  a  crushing  bureaucracy  with  an  oSen  abrasive   atmosphere  that  deters  newcomers  who  might  increase   par6cipa6on  in  Wikipedia  and  broaden  its  coverage…”    http://www.technologyreview.com/featuredstory/520446/the-decline-of-wikipedia/
http://www.parliament.uk/business/committees/committees-a-z/commons-select/science-and-technology-committee/news/report-responsible-use-of-data/
http://www.wired.com/2015/08/cant-squat-spotifys-eerie-new-privacy-policy/ Spotify Wants to Go Through Your Phone “With your permission, we may collect information stored on your mobile device, such as contacts, photos, or media files. Local law may require that you seek the consent of your contacts to provide their personal information to Spotify, which may use that information for the purposes specified in this Privacy Policy.” – Spotify Like a jealous ex, Spotify wants to see (and collect) your photos and see who you’re talking to. What kind of media files Spotify will collect from you is vague, and why the company needs it is unclear, but it’s doing it regardless. Also, the fact that Spotify expects you to go through your contact list and ask everyone for their consent in sharing their data with Spotify is–what’s the word? Oh yes: it’s ridiculous.
https://www.gartner.com/technology/research/digital-marketing/transit-map.jsp
Principles of Robotics 1.  Robots are multi-use tools. Robots should not be designed solely or primarily to kill or harm humans, except in the interests of national security. 2.  Humans, not robots, are responsible agents. Robots should be designed; operated as far as is practicable to comply with existing laws & fundamental rights & freedoms, including privacy. 3.  Robots are products. They should be designed using processes which assure their safety and security. 4.  Robots are manufactured artefacts. They should not be designed in a deceptive way to exploit vulnerable users; instead their machine nature should be transparent. 5.  The person with legal responsibility for a robot should be attributed. https://www.epsrc.ac.uk/research/ourportfolio/themes/engineering/activities/principlesofrobotics/ AlanWinfield
Principles of Robotics Social Machines? 1.  Social Machines are multi-use tools. Social Machines should not be designed solely or primarily to kill or harm humans, except in the interests of national security. 2.  Humans, not Social Machines, are responsible agents. Social Machines should be designed; operated as far as is practicable to comply with existing laws & fundamental rights & freedoms, including privacy. 3.  Social Machines are products. They should be designed using processes which assure their safety and security. 4.  Social Machines are manufactured artefacts. They should not be designed in a deceptive way to exploit vulnerable users; instead their machine nature should be transparent. 5.  The person with legal responsibility for a Social Machine should be attributed.
Studying Social Machines
Ecosystem Perspective •  We see a community of living, hybrid organisms, rather than a set of machines which happen to have humans amongst their components •  Their successes and failures inform the design and construction of their offspring and successors
time Social Machine instances @dder
Observer of one social machine Observers using third party observatory Observer of multiple social machines Human participants in Social Machine Human participants in multiple Social Machines Observer of Social Machine infrastructure 1   4   2   3   5   6   SM SM SM Social Machine Observing Social Machines 7   @dder
The Web Observatory Tiropanis, T., Hall, W., Shadbolt, N., De Roure, D., Contractor, N. and Hendler, J. 2013. The Web Science Observatory, IEEE Intelligent Systems 28(2) pp 100–104.
Simpson, R., Page, K.R. and De Roure, D. 2014. Zooniverse: observing the world's largest citizen science platform. In Proceedings of the companion publication of the 23rd international conference on World Wide Web, 1049-1054.
By Ségolène Tarte, David De Roure and Pip Willcox Working out the Plot The Role of Stories in Social Machines Tarte, S.M., De Roure, D. and Willcox, P. 2014. Working out the Plot: the Role of Stories in Social Machines. SOCM2014: The Theory and Practice of Social Machines, Seoul, Korea, International World Wide Web Conferences pp. 909–914
STORYTELLING AS A STETHOSCOPE FOR SOCIAL MACHINES 1.  Sociality through storytelling potential and realization 2.  Sustainability through reactivity and interactivity 3.  Emergence through collaborative authorship and mixed authority Zooniverse  is  a  highly   storified  Social  Machine   Facebook  doesn’t  allow   for  improvisa6on   Wikipedia  assigns   authority  rights  rigidly   http://ora.ox.ac.uk/objects/ora:8033
Pip Willcox
Tarte, S. Willcox, P., Glaser, H. and De Roure, D. 2015. Archetypal Narratives in Social Machines: Approaching Sociality through Prosopography. ACM Web Science 2015. SégolèneTarte
Normal Science – computer science is a puzzle-solving activity under our current paradigm, inspired by great achievements. Successful social machines, like Wikipedia, are the anomaly. They do not yield to standard techniques despite attempts to extend those techniques and fit social machines in as machines. cf Newtonian mechanics. Kuhn cycle We are in the period of crisis, where the failure of established methods permits us to experiment with new methods to crack the anomaly. We experiment with social machines as an underpinning model. If successful, social machines become the new paradigm and scientific revolution has occurred. This is evidenced by the papers and books that train the next generation. De Roure, D. 2014. The Emerging Paradigm of Social Machines, Digital Enlightenment Yearbook 2014 227 K. O’Hara et al. (Eds.) IOS Press, 2014. pp 227-234.
In 1999 Tim Berners-Lee predicted the rise of social machines, anticipating that “the ability to create new forms of social process would be given to the world at large, and development would be rapid”. This is clearly demonstrated through today’s social media, an arena where democratization and disintermediation encourage participation, and where new phenomena are set to emerge with increasing automation. The social machines perspective is a useful lens for all those engaged with socio-technical systems – which is all of us, as participants, observers and designers, but above all as humans.
david.deroure@oerc.ox.ac.uk @dder Thanks to Chris Lintott, Grant Miller, Kevin Page, Ségolène Tarte, Pip Willcox, our SOCIAM colleagues in Southampton and Edinburgh, Susan Halford, and Alan Winfield. http://www.slideshare.net/davidderoure/social-machines-democratization Supported by SOCIAM: The Theory and Practice of Social Machines, funded by the UK Engineering and Physical Sciences Research Council (EPSRC), under grant number EP/J017728/1, also FAST EP/L019981/1, and Smart Society: Hybrid and Diversity-Aware Collective Adaptive Systems: When People Meet Machines to Build a Smarter Society, funded under the European Commission FP7-ICT FET Proactive Initiative: Fundamentals of Collective Adaptive Systems (FOCAS), Project Reference 600854.