1. David De Roure discusses intersection, scale, and social machines in the context of the humanities in the digital age. He presents examples of how digital technologies are enabling new forms of scholarship across disciplines through tools like social media, citizen science, and the internet of things. 2. The document outlines emerging areas at the intersection of disciplines like computational methods, digital scholarship, and big data. It also discusses how social machines as defined by Tim Berners-Lee allow people to collaboratively create new forms of social processes and development online. 3. De Roure argues that while the goals of humanities research remain the same, digital technologies are providing new methods for inquiry and doing new types of scholarship. Other

1. David De Roure
@dder
Intersection, Scale, and
Social Machines
The Humanities in the Digital Age
DIRECTOR, UNIVERSITY OF OXFORD E-RESEARCH CENTRE

2. Porter, Bernard. 1939. Being a Map of Physics. Courtesy of Maine State Library and Mark Melnicove. In "10th Iteration (2014): The
Future of Science Mapping," Places & Spaces: Mapping Science, edited by Katy Börner and Samuel Mills. http://scimaps.org

3. http://oxfordschoolofphotography.wordpress.com/tag/tilt-shift-photography/

4. TORCH DH
Zooniverse
IoT
Engineering
Cyber
Linguis7cs
English
Oxford
Mar7n
School
Saïd
ARC IT Services
ECI
Geography
SKA
CUDA
Physics
Computer Science
Maths
History
Oxford
Internet
Ins7tute
Music
Archaeology
Classics
Zoology
Museums
Wolfson
Law
Bodleian Libraries
Pharmacology
Biochemistry

6. Segolene’s slide

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

8. The Big Picture(s)

9. ChristineBorgman

10. theODI.org

11. Data Detect Store AnalyticsFilter Analysts

12. Four quadrants
More people
More machines
HPC
Conven7onal
Computa7on
Digital
Scholarship
Social
Networks
Science 2.0
Big Data
Computa7onal
methods
Ci7zen
Science
Machine Learning Scien7fic Compu7ng
Cybersecurity
AUTOMATION

13. Citizens

14. 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)

16. Scientists
Talk
Forum
Image
Classification
data reduction
Citizen Scientists

17. hWps://twiWer.com/CR_UK/status/446223117841494016/
Some people's smartphones
autocorrected "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 adop7on."
hWp://www.bbc.com/news/technology-26723457

18. Social Media Triangle
social media
data and
analytics
social media for
engagement with
research
social media
as a subject
of research
Sam McGregor

19. New and Emerging Forms of Data
• Internet data, derived from social media
and other online interac7ons (including
data gathered by connected people and
devices, eg mobile devices, wearable
technology, Internet of Things)
• Tracking data, monitoring the
movement of people and objects
(including GPS/geoloca7on data, traffic
and other transport sensor data, CCTV
images etc)
• Satellite and aerial imagery (eg Google
Earth, Landsat, infrared, radar mapping
etc)
http://www.oecd.org/sti/sci-tech/new-data-for-
understanding-the-human-condition.htm

20. http://www.parliament.uk/business/committees/committees-a-z/commons-select/science-and-technology-committee/news/report-responsible-use-of-data/

21. Crossing the Boundaries of
Discipline
Multi/Inter/Trans/Post

22. Community
Somware
Supercomputer
Digital Music
Collec7ons
Student-sourced
ground truth
Community
Somware
Linked Data
Repositories
Supercomputer
23,000 hours of
recorded music
Music Information
Retrieval Community
SALAMI

23. Sequence alignment
http://en.wikipedia.org/wiki/Sequence_alignment#/media/File:Histone_Alignment.png

24. Dan Edelstein, Robert Morrissey, and Glenn Roe, To Quote or not to Quote: Citation Strategies in the Encyclopédie. Journal of the
History of Ideas , Volume 74, Number 2, April 2013 . pp. 213-236. 10.1353/jhi.2013.0012

25. 3,610 Shared Passages
Montesquieu - 681 passages
• De l'esprit des lois (1746) - 477 passages
• Considérations sur les Romains… (1734) - 173 passages
Voltaire - 528 passages
• Essai sur l'histoire générale… (1756) - 415 passages
Jean-Baptiste Dubos - 229 passages
• Réflexions critiques sur la poésie et sur la peinture (1719) - 227 passages
René Aubert de Vertot - 122 passages
• Histoire des révolutions arrivées dans le gouvernement romain (1727) - 122 passages
Antoine Arnauld & Pierre Nicole - 107 passages
• La logique, or l'art de penser (1662) - 107 passages
Charles Rollin - 100 passages
• Histoire ancienne des Égyptiens (1738) - 94 passages
Montaigne - 91 passages
• Les Essais (1595) - 91 passages
Condillac - 91 passages
• Essai sur l'origine des connaissances humaines (1746) - 91 passages
Aligned passages in the over 900 texts that predate the publication of the Encyclopédie in the ARTFL-Frantext collection,
from Russell Horton, Mark Olsen, and Glenn Roe, Something Borrowed: Sequence Alignment and the Identification of
Similar Passages in Large Text Collections, Digital Studies - Le Champ numérique 2 (1)

26. Psychology and digital technology are
being combined to understand music
in new ways. In the run-up to the
Being Human festival, a group of
students in the audience for Wagner’s
epic ‘Ring Cycle’, conducted by Valery
Gergiev (Birmingham Hippodrome)
will take part in an intriguing
experiment to monitor the sensations
produced over the 16-hour cycle of
four operas.
How do we really
experience Wagner’s music?
http://beinghumanfestival.org/event/hearing-wagner/

27. Tarte, S. Willcox, P., Glaser, H. and De Roure, D. 2015. Archetypal Narratives in Social
Machines: Approaching Sociality through Prosopography. ACM Web Science 2015.

28. Speakers:
Howard Hotson (Professor of Early
Modern Intellectual History, University
of Oxford)
Andrew Prescott (Professor of Digital
Humanities, University of Glasgow)
Dave De Roure (Professor of e-
Research, Oxford e-Research Centre)
Heather Viles (Head of School of
Geography and the Environment)

29. Crossing the Boundaries
of Time

31. Richard O’Bierne

32. First Folio Social Machines
Metadata
Story of the
First Folio
Social
Machines Annotation
David De Roure and Pip Willcox
‘“Coniunction, with the participation of Society”: Citizens, Scale, and
Scholarly Social Machines’
Beyond the PDF: Born-Digital Humanities, Boston, 27–28 April 2015
Pip Willcox

33. Digital Material
Pip Willcox

34. Oxford e-Research Centre
Ada Lovelace:
Notes and Numbers
David De Roure and Pip Willcox
22 December 2015

35. Oxford e-Research Centre

36. DMRN+9

37. 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144,
233, 377, 610, 987, 1597, 2584, 4181,
6765, 10946, 17711, 28657, 46368,
75025, 121393, 196418, 317811,
514229, 832040, 1346269, 2178309,
3524578, 5702887, 9227465, 14930352,
24157817, 39088169, …
Fibonacci numbers
F(n) = F(n-1) + F(n-2) with F(0)
= 0 and F(1) = 1
Card: 1. (fib.ae:1) N0 35
Store: V0 = 35
Card: 2. (fib.ae:2) N1 20
Store: V1 = 20
Card: 3. (fib.ae:3) N2 0
Store: V2 = 0
Card: 4. (fib.ae:4) N3 1
Store: V3 = 1
Card: 5. (fib.ae:5) N4 1
Store: V4 = 1
Card: 6. (fib.ae:6) N5 1
Store: V5 = 1
Card: 7. (fib.ae:7) /
Card: 8. (fib.ae:8) L2
Store: Mill <= V2(0)
Card: 9. (fib.ae:9) L0
Store: Mill <= V0(35)
Mill: 0 / 35 = 0, Rem: 0
Card: 10. (fib.ae:10) P
0
Card: 11. (fib.ae:11) L3
Store: Mill <= V3(1)
Card: 12. (fib.ae:12) L0
Store: Mill <= V0(35)
Mill: 1 / 35 = 0, Rem: 1
Card: 13. (fib.ae:13) P
1
Card: 14. (fib.ae:14) +
Card: 15. (fib.ae:15) L2

39. Human Digital Physical Triangle
human
digital physical
social
media
IoT
automation
and scale

40. Same quest, with some new methods
Doing things in new ways
Doing entirely new things
Social as well as digital as well as physical
Intersection, Scale, and Social Machines
Humanities can benefit from
scholarship in other disciplines
Can other disciplines benefit from
scholarship in the humanities?
For discussion at the closing panel
"We're all in some sense digital humans, and digital humanists” @jfwinters

41. david.deroure@oerc.ox.ac.uk
@dder
Thanks to Christine Borgman, Chris Lintott, Emily Howard,
Richard O’Bierne, Glenn Roe, Ségolène Tarte, Pip Willcox;
CofK, FAST, FORCE11, SOCIAM, Transforming Musicology;
AHRC, EPSRC, ESRC, JISC, Andrew W. Mellon Foundation.
http://www.slideshare.net/davidderoure/humanities-in-the-digital-age-2016