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Intersection Scale and Social Machines 2016

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Opening talk for the Introduction to Digital Humanities Workshop, at the Digital Humanities at Oxford Summer School 2016. Presented 3 July 2016 in St Hugh's College.

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Intersection Scale and Social Machines 2016

  1. 1. David De Roure @dder Intersection, Scale, and Social Machines The Humanities in the Digital Age DIRECTOR, UNIVERSITY OF OXFORD E-RESEARCH CENTRE
  2. 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. 3. http://oxfordschoolofphotography.wordpress.com/tag/tilt-shift-photography/
  4. 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
  5. 5. Segolene’s slide
  6. 6. Edwards, P. N., et al. (2013) Knowledge Infrastructures: Intellectual Frameworks and Research Challenges. Ann Arbor: Deep Blue. http://hdl.handle.net/2027.42/97552
  7. 7. The Big Picture(s)
  8. 8. ChristineBorgman
  9. 9. theODI.org
  10. 10. Data Detect Store AnalyticsFilter Analysts
  11. 11. 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
  12. 12. Citizens
  13. 13. 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)
  14. 14. Scientists Talk Forum Image Classification data reduction Citizen Scientists
  15. 15. 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
  16. 16. Social Media Triangle social media data and analytics social media for engagement with research social media as a subject of research Sam McGregor
  17. 17. 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
  18. 18. http://www.parliament.uk/business/committees/committees-a-z/commons-select/science-and-technology-committee/news/report-responsible-use-of-data/
  19. 19. Crossing the Boundaries of Discipline Multi/Inter/Trans/Post
  20. 20. 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
  21. 21. Sequence alignment http://en.wikipedia.org/wiki/Sequence_alignment#/media/File:Histone_Alignment.png
  22. 22. 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
  23. 23. 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)
  24. 24. 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/
  25. 25. Tarte, S. Willcox, P., Glaser, H. and De Roure, D. 2015. Archetypal Narratives in Social Machines: Approaching Sociality through Prosopography. ACM Web Science 2015.
  26. 26. 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)
  27. 27. Crossing the Boundaries of Time
  28. 28. Richard O’Bierne
  29. 29. 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
  30. 30. Digital Material Pip Willcox
  31. 31. Oxford e-Research Centre Ada Lovelace: Notes and Numbers David De Roure and Pip Willcox 22 December 2015
  32. 32. Oxford e-Research Centre
  33. 33. DMRN+9
  34. 34. 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
  35. 35. Human Digital Physical Triangle human digital physical social media IoT automation and scale
  36. 36. 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
  37. 37. 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

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