Social Objects and Social Machines

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"Social Objects and Social Machines: Understanding the Co-Constitution of the Web" Talk as part of President's Seminar at Wolfson College, Oxford, UK, 7 May 2012

Technology Health & Medicine

Social Objects and Social Machines

Understanding the Co-Constitution of the Web

David De Roure

http://www.slideshare.net/dder/social-objects-and-social-machines

http://gapingvoid.com/category/social-object/

http://en.wikipedia.org/wiki/Barabasi-Albert_model

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

http://nosh.northwestern.edu/
B F

C
+ C - + E
E
D

D
Novice
Expert
Theories of Theories of Theories of
Collective Action Homophily Cognition

http://www.hackdiary.com/2012/04/05/extracting-a-social-graph-from-wikipedia-people-pages/

Compute & Data Complexity

Social Complexity

The users of a website, the website, and
the interactions between them, together
form our fundamental notion of a “machine”

1. Social Networks form around Social Objects
What are the new research objects?
2. Social Networks, like the Web, co-evolve
Analysing the Web Observatory
3. A new way of thinking: Social Machines
Rethinking sociotechnical systems
david.deroure@wolfson.ox.ac.uk @dder
http://www.oerc.ox.ac.uk/people/dder

Also see: http://www.w3.org/community/webobservatory/
Slide Credits: Noshir Contractor, Christine Borgman, Matt Biddulph

"Experimental Humanities: An Adventure with Lovelace and Babbage" by David De Roure and Pip Willcox, University of Oxford. Paper presentation at 13th IEEE eScience Conference, Auckland, New Zealand, 25 October 2017. Abstract: "The development and innovative application of digital research methods in humanities disciplines, characterised as Digital Humanities or e-Humanities, is an established feature of the e-Science and e-Research landscape. Typically these digital methods enable existing research questions to be tackled in new ways, at a scale and speed that transcend manual methods. In this paper we present a different approach to the application of digital techniques to humanities research, a branch of experimental humanities in which digital experiments bring insight and engagement with historical scenarios and in turn influence our understanding and our thinking today. We illustrate this through a series of experiments and demonstrations inspired by the work of Ada Lovelace and Charles Babbage, including simulation of the Analytical Engine, use of a web-based music application, construction of hardware, and reproduction of earlier mathematical results using contemporary computational methods."

Creativity in Digital Scholarship

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The Imagination of Ada Lovelace

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Scholarly Social Machines Essay

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Despite many attempts to perturb a scholarly publishing system that is over 350 years old, it feels pretty much like business as usual. I argue that we have become trapped inside the machine, and if we want to change it in an informed way we need to step outside and take a look. First I describe my lens—what I mean by a social machine, and the scholarly social machines ecosystem. I close with a list of questions that could be workshop discussion points. Presented at the ESWC 2017 Workshop on Enabling Decentralised Scholarly Communication, Portorož - Portorose, May 2017. This article is a response to the Call for Linked Research. The essay is currently available on www.oerc.ox.ac.uk/sites/default/files/users/user384/scholarly-social-machines.html

Social Machines and how to study them

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New and Emerging Forms of Data

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Keynote talk for NCRM Stream Analytics workshop, 19 January 2017, Manchester. My talk is called "New and Emerging Forms of Data: Past, Present, and Future” and I will be giving a perspective from my role as one of the ESRC Strategic Advisers for Data Resources, in which I was responsible for new and emerging forms of data and realtime analytics. The talk also includes some of the current work in the Oxford e-Research Centre on Social Machines (the SOCIAM project) and an introduction to the PETRAS Internet of Things project. The talk raises a number of important issues looking ahead, including massive scale of data that is already being supplied by Internet of Things, the implications of automation in our research, reproducibility and confidence in research results. I will also ask, how can the new forms of data and new research methods enable social scientists to work in new ways, and can we move on from the dependence on the traditional investment in longitudinal studies?

Plans and Performances

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The Short and the Long of Web Science

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Panel position for "10 Years of Web Science" panel at ACM Web Science 2016, Hannover, Germany, Monday 23 May 2016, with panellists: Steffen Staab, Universität Koblenz-Landau & University of Southampton (chair) David De Roure, Oxford e-Research Centre, University of Oxford Susan Halford, University of Southampton Anni Rowland-Campbell, Intersticia, Web Science Trust & Web Science Institute Jim Hendler, Rensselaer Polytechnic Institute

Short and Long of Data Driven Innovation

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New Data `New Computation

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Ada Lovelace Numbers and Notes

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Web Observatories

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Towards Web-Scale Analysis of Musical Structure

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SALAMI (Structural Analysis of Large Amounts of Music Information) is an ambitious computational musicology project which applies a computational approach to the huge volume of digital recordings now available from such sources as the Internet Archive. It aims to deliver a very substantive corpus of musical analyses in a common framework for use by music scholars, students and beyond, and to establish a web-based methodology and tooling which will enable others to add to this in the future. In its first phase the project has conducted a significant exercise in ground truth collection with 1000 recordings analysed by music students and shortly to be published as open Linked Data.

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David De Roure's Inaugural Lecture on 28th October at Oxford e-Research Centre, University of Oxford, UK 10 years ago we saw a few early adopters of e-Science technology; now we see acceleration of research through broader adoption and sharing of tools, techniques and artefacts, both for 'big science' and the 'long tail scientist'. Will this incremental trend continue or are we seeing glimpses of a phase change ahead, where researchers harness these emerging digital capabilities to address research questions in ways that simply were not possible before? This talk will describe three generations of e-Research, using the myExperiment social website as a lens to glimpse future research practice, and focusing on a web-scale computational musicology project as an illustration of 3rd generation thinking. Also available from http://wiki.myexperiment.org/index.php/Presentations

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Where are we going and how are we going to get there?

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Social Objects and Social Machines

1. Social Objects and Social Machines Understanding the Co-Constitution of the Web David De Roure

2. http://www.slideshare.net/dder/social-objects-and-social-machines

3. http://gapingvoid.com/category/social-object/ http://en.wikipedia.org/wiki/Barabasi-Albert_model

5. 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 http://nosh.northwestern.edu/ B F C + C - + E E D D Novice Expert Theories of Theories of Theories of Collective Action Homophily Cognition

6. http://gseis.ucla.edu/people/borgman

7. http://www.hackdiary.com/2012/04/05/extracting-a-social-graph-from-wikipedia-people-pages/

9. Compute & Data Complexity Social Complexity

10.

11. The users of a website, the website, and the interactions between them, together form our fundamental notion of a “machine”

12. 1. Social Networks form around Social Objects What are the new research objects? 2. Social Networks, like the Web, co-evolve Analysing the Web Observatory 3. A new way of thinking: Social Machines Rethinking sociotechnical systems david.deroure@wolfson.ox.ac.uk @dder http://www.oerc.ox.ac.uk/people/dder Also see: http://www.w3.org/community/webobservatory/ Slide Credits: Noshir Contractor, Christine Borgman, Matt Biddulph

Social Objects and Social Machines

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