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Advances in Digital Scholarship

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Presentation at invited workshop "DIGITAL RESEARCH RESOURCES IN THE ARTS AND HUMANITIES - Achievements and Prospects for Future Collaboration" held at King’s College London, 25 July 2012

Presentation at invited workshop "DIGITAL RESEARCH RESOURCES IN THE ARTS AND HUMANITIES - Achievements and Prospects for Future Collaboration" held at King’s College London, 25 July 2012

Published in: Technology, Education

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  • CERN teams up with Leaders in Information Technology to build giant Data GridData accumulation rate: 10 Petabytes per year (equivalent to about 20 million CD-ROMs).http://public.web.cern.ch/press/pressreleases/Releases2001/PR11.01ECERNopenlab.html
  • Transcript

    • 1. Advances inDigital ScholarshipDavid De Roure
    • 2. Research “on” the Web• Web as an infrastructure for research• Web as a source of data• Web as a subject of research• Web of scholarly discourse
    • 3. ...the imminent flood of scientific data expected from the next generation of experiments, simulations, sensors and satellites Tony Hey and Anne Trefethen Source: CERN, CERN-EX-0712023, http://cdsweb.cern.ch/record/1203203
    • 4. BioEssays,, 26(1):99–105, January 2004 http://research.microsoft.com/en-us/collaboration/fourthparadigm/
    • 5. The Problem INT. VERSE VERSE BRIDG VERSE BRIDG VERSE O . E E UT
    • 6. Structural Analysis of Large Amounts of Music Information 23,000 hours of Digital Music recorded music Collections Music Information Retrieval Community Student-sourced Community ground truth Software Supercomputer Linked Data Repositories
    • 7. http://www.bodleian.ox.ac.uk/bodley/library/special/projects/whats-the-score
    • 8. PolicyGrid m Current Nodes Rural communities Demonstrators DE Hubs DAMES d & Sustainability ds Harnessing advances in digital Social Inclusion technology and practice to achieve world-class social highwire NeISS CQeSS Genesis s e-Social Scienceresearch with maximum impact m MoSeS m Obesity e-Lab ss HUB m DReSS Horizon DE DTCs Creative Industries Finance mm d MiMeG Healthcare Genesis Media OeSS GeoVUE mm eStat m d NCRM phase 3 Entertainment m Web Science ncrmLifeGuide NCRM phase 2 www.digitalsocialresearch.net
    • 9. New York London Paris Moscow The Tweet-o-Meter http://www.casa.ucl.ac.uk/tom/
    • 10. A A B B F + F + - C - E C E D D Theories of Theories of Theories of Self interest Exchange Balance A A B F B F C + C - + E E D D Novice Expert Theories of Theories of Theories ofCollective Action Homophily Cognition
    • 11. Anatomy of an observatory Install Query Subscribe analyticData flows ongoing collection
    • 12. 1 Web as lens 23 Web as artefact
    • 13. Framework for ResponsibleResearch and Innovation in ICT responsible-innovation.org.uk
    • 14. SOCIAMThe Theory and Practice of Social Machines
    • 15. The order of social machinesReal life is and must be full of all kinds ofsocial constraint – the very processesfrom which society arises. Computerscan help if we use them to createabstract social machines on the Web:processes in which the people do thecreative work and the machine does theadministration… The stage is set for anevolutionary growth of new socialengines. Berners-Lee, Weaving the Web, 1999
    • 16. An Example Social Machine• The Kenyan election on the 27th December 2007…• wave of riots, killings and turmoil…• African blogger Erik Hersman read a post by another blogger Ory Okolloh…• Resulted in Ushahidi…• “Nobody Knows Everything, but Everyone Knows Something.”• Local observers to submit reports using the Web or SMS messages from mobile phones
    • 17. The Zooniverse principles1. Telling people about the Versus… purpose of the research • The Deficit model – the and about its context is a layperson is irrational, good thing ignorant, and even2. Treat participants as intellectually vacuous collaborators not as • Human-based computation subjects – a computer science3. Do not waste people’s technique in which a time computational process4. All volunteers, and their performs its function by contributions, are of equal outsourcing certain steps to value to the project humans
    • 18. Some other machines?
    • 19. Social Machines in ContextMore machines Big Data Social Big Compute Machines Conventional Social Computation Networking More people
    • 20. www.einfrastructuresouth.ac.uk
    • 21. explore.clarosnet.org
    • 22. The users of a website, the website, andthe interactions between them, togetherform our fundamental notion of a “machine”
    • 23.  “Facebook for Scientists”  A probe into researcher ...but different to Facebook! behaviour A repository of research  Open source (BSD) Ruby on methods Rails app A community social network of  REST and SPARQL interfaces, people and things supports Linked Data A Social Virtual Research  Influenced BioCatalogue, Environment MethodBox and SysMO-SEEK myExperiment currently has 307 groups, 2494 workflows, 643 files and 250 packs - see wiki.myexperiment.org
    • 24. method data
    • 25. Research repeat Record repeatMachine paper Machine REPRODUCE papersoftware softwareMachine Machine Software REPRODUCE OR REPEAT? paperworkflow workflow wf softwaresoftwareMachine Software Machine blogs.nature.com/eresearch/
    • 26. http://force11.org/
    • 27. The Executable Thesis new data executable thesis PhD Student new results
    • 28. Discussion• The underlying themes in this talk have been: – Web (co-constituted) – people (expert to lay) – computation (device to supercomputer) – automation / assistance – methods, reuse and value-add• These reflect significant trends in our “knowledge infrastructure”, and significant opportunities for digital humanities
    • 29. david.deroure@oerc.ox.ac.ukwww.oerc.ox.ac.uk/people/dderblogs.nature.com/eresearch@dderSlide credits: Christine Borgman, Ichiro Fujinaga, Noshir Contractor, MarinaJirotka, Nigel Shadbolt, Dave Robertson, Andrew Zissermanhttp://www.slideshare.net/dder/advances-in-digital-scholarshiphttp://www.myexperiment.org/packs/313

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