Intersection Scale and Social Machines 2016
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Transcript of Intersection Scale and Social Machines 2016
David De Roure @dder
Intersection, Scale, and Social Machines
The Humanities in the Digital Age
DIRECTOR, UNIVERSITY OF OXFORD E-RESEARCH CENTRE
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
TORCHDH
Zooniverse
IoTEngineering
Cyber
Linguis7cs
English
OxfordMar7nSchool
Saïd
ARC ITServices
ECIGeography
SKA
CUDA
Physics
ComputerScience
MathsHistory
OxfordInternetIns7tute
Music
Archaeology
Classics
Zoology
Museums
Wolfson
Law
BodleianLibraries
Pharmacology
Biochemistry
Edwards, P. N., et al. (2013) Knowledge Infrastructures: Intellectual Frameworks and Research Challenges. Ann Arbor: Deep Blue. http://hdl.handle.net/2027.42/97552
Fourquadrants
Morepeople
Moremachine
s HPC
Conven7onalComputa7on
DigitalScholarship
SocialNetworks
Science2.0
BigData
Computa7onalmethods
Ci7zenScience
MachineLearningScien7ficCompu7ng
Cybersecurity
AUTOMATION
SocialMachinesReal 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)
hWps://twiWer.com/CR_UK/status/446223117841494016/
Somepeople'ssmartphonesautocorrected"BEAT"toinsteadread"BEAR”
"Thankyouforchoosinganadorablepolarbear,"thereplyfromtheWWFsaid"Wewillcallyoutodaytosetupyouradop7on."
hWp://www.bbc.com/news/technology-26723457
SocialMediaTrianglesocial media
data and analytics
social media for engagement with
research
social media as a subject of research
Sam McGregor
NewandEmergingFormsofData• Internetdata,derivedfromsocialmedia
andotheronlineinterac7ons(includingdatagatheredbyconnectedpeopleanddevices,egmobiledevices,wearabletechnology,InternetofThings)
• Trackingdata,monitoringthemovementofpeopleandobjects(includingGPS/geoloca7ondata,trafficandothertransportsensordata,CCTVimagesetc)
• Satelliteandaerialimagery(egGoogleEarth,Landsat,infrared,radarmappingetc)
http://www.oecd.org/sti/sci-tech/new-data-for-understanding-the-human-condition.htm
http://www.parliament.uk/business/committees/committees-a-z/commons-select/science-and-technology-committee/news/report-responsible-use-of-data/
CommunitySomware
Supercomputer
DigitalMusicCollec7ons
Student-sourcedgroundtruth
CommunitySomware
LinkedDataRepositories
Supercomputer
23,000 hours of recorded music
Music Information Retrieval Community
SALAMI
Sequence alignment
http://en.wikipedia.org/wiki/Sequence_alignment#/media/File:Histone_Alignment.png
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
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)
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/
Tarte, S. Willcox, P., Glaser, H. and De Roure, D. 2015. Archetypal Narratives in Social Machines: Approaching Sociality through Prosopography. ACM Web Science 2015.
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)
FirstFolioSocialMachines
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
Oxford e-Research Centre
Ada Lovelace: Notes and Numbers
David De Roure and Pip Willcox 22 December 2015
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)N035Store:V0=35Card:2.(fib.ae:2)N120Store:V1=20Card:3.(fib.ae:3)N20Store:V2=0Card:4.(fib.ae:4)N31Store:V3=1Card:5.(fib.ae:5)N41Store:V4=1Card:6.(fib.ae:6)N51Store:V5=1Card:7.(fib.ae:7)/Card:8.(fib.ae:8)L2Store:Mill<=V2(0)Card:9.(fib.ae:9)L0Store:Mill<=V0(35)Mill:0/35=0,Rem:0Card:10.(fib.ae:10)P0Card:11.(fib.ae:11)L3Store:Mill<=V3(1)Card:12.(fib.ae:12)L0Store:Mill<=V0(35)Mill:1/35=0,Rem:1Card:13.(fib.ae:13)P1Card:14.(fib.ae:14)+Card:15.(fib.ae:15)L2Store:Mill<=V2(0)Card:16.(fib.ae:16)L3Store:Mill<=V3(1)Mill:0+1=1Card:17.(fib.ae:17)S2Store:V2=1Card:18.(fib.ae:18)L2Store:Mill<=V2(1)Card:19.(fib.ae:19)L3Store:Mill<=V3(1)Mill:1+1=2Card:20.(fib.ae:20)S3Store:V3=2Card:21.(fib.ae:21)L4Store:Mill<=V4(1)Card:22.(fib.ae:22)L5Store:Mill<=V5(1)Mill:1+1=2Card:23.(fib.ae:23)S4Store:V4=2Card:24.(fib.ae:24)-Card:25.(fib.ae:25)L4Store:Mill<=V4(2)Card:26.(fib.ae:26)L1Store:Mill<=V1(20)Mill:2-20=-18RunupCard:27.(fib.ae:27)CB?21Card:7.(fib.ae:7)/Card:8.(fib.ae:8)L2Store:Mill<=V2(1)Card:9.(fib.ae:9)L0Store:Mill<=V0(35)Mill:1/35=0,Rem:1Card:10.(fib.ae:10)P1Card:11.(fib.ae:11)L3Store:Mill<=V3(2)Card:12.(fib.ae:12)L0Store:Mill<=V0(35)Mill:2/35=0,Rem:2Card:13.(fib.ae:13)P2
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
[email protected] @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