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FR 854, folio 49r
http://oxfordschoolofphotography.wordpress.com/tag/tilt-shift-photography/
Dig
ital
Hum
anitie
s
Socia
l
Machin
es
Engineering
Linguistics
English
Oxford Martin School
Saïd
WolfsonDigital
IT Services
GeographyEnvironment
Physics
Computer Science
Maths History
BodleianDigital
OxfordInternet Institute
Music
Pharma
Archaeology
Classics
Zoology
DDeR 2015-04-25
An Introduction toDigital Humanities
Crowdsourcing forAcademic, Library andMuseum Environments
Digital Approachesin Medieval andRenaissance Studies
From Text to Tech
Leveraging the TextEncoding Initiative
Digital Musicology
Humanities Data:Curation, Analysis,Access, and Reuse
Linked Data forthe Humanities
20 - 24 July 2015
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 Big Picture
More people
More
machin
es
Big Data
Big Compute
Conventional
Computation
“Big Social”
Social Networks
e-infrastructure
Online R&D
(Science
2.0)
Social
Machines
@dder
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)
Social Machines
www.zooniverse.org
Community Software
Supercomputer
Digital Music Collections
Student-sourced ground truth
Community Software
Linked Data Repositories
Supercomputer
23,000 hours of
recorded music
Music Information
Retrieval Community
SALAMI
Richard O’Bierne
Elizabeth Williamson
MetadataStory of the
First Folio
Social
Machines
SM1: co-authoring
SM2: performance
SM3: prompt books
SM4: publication
SM5: copyright
SM6: reception
SM7: deacquisition
SM8: enquiry desk
SM9: scholarship
SM10: the press
SM11: campaign
SM12: campaign #2
SM13: publication #2
SM14: transcribe, edit
SM15: publication #3
SM16: use & reuse
SM17
https://www.academia.edu/12103878/_Coniunction
_with_the_participation_of_Society
_Citizens_Scale_and_Scholarly_Social_Machines
http://www.slideshare.net/davidderoure/cit
izens-scale-scholarly-social-machines
SM18
Shakespeare sonnet detector
By Ségolène Tarte, David De Roure
and Pip Willcox
Working out the Plot
The Role of Stories in
Social Machines
A computationally-enabled sense-making network of
expertise, data, software, models and narratives
Scholarly communications knowledge
infrastructure can usefully be seen as an
ecosystem of interacting social machines.
Social Machines are more than crowdsourcing.
We understand them well in the Humanities.
Thanks to J.Stephen Downie, Andrew Honey, Emma Smith,
Richard O’Bierne, Ségolène Tarte, Elizabeth Williamson; IAS
at UWA; Sprint for Shakespeare and Bodleian First Folio
supporters; Andrew W. Mellon Foundation, JISC, EPSRC,
ESRC, AHRC.
[email protected] @dder
[email protected] @pipwillcox
digital.humanities.ox.ac.uk
http://www.slideshare.net/davidderoure/citizens-scale-scholarly-social-machines
