|
Frank, J., Pagliari C., Guebbles E., & Mutenga S.
(In Press). New Forms of Data for Understanding Health Inequalities – The Case of Tanzania.
Journal of Global Health. |
The Quantified Patient |
|
Shadbolt, N., O'Hara K., De Roure D., & Hall W.
(2019). The Theory and Practice of Social Machines.
Lecture Notes in Social Networks. |
Theoretical Frameworks |
|
Lyngs, U., Lukoff K., Slovak P., Binns R., Slack A., Inzlicht M., et al.
(2019). Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. |
Motivation and Self-Regulation |
|
Van Kleek, M., Binns R., Zhao J., Slack A., Lee S., Ottewell D., et al.
(2018). X-Ray Refine: Supporting the Exploration and Refinement of Information Exposure Resulting from Smartphone Apps.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. |
Mobile App X-Ray |
|
Binns, R., Lyngs U., Van Kleek M., Zhao J., Libert T., & Shadbolt N.
(2018). Third Party Tracking in the Mobile Ecosystem.
Proceedings of the 10th International ACM Web Science Conference 2018. |
Mobile App X-Ray |
|
Binns, R., Van Kleek M., Veale M., Lyngs U., Zhao J., & Shadbolt N.
(2018). 'It's Reducing a Human Being to a Percentage'; Perceptions of Justice in Algorithmic Decisions.
CHI'18, ACM Conference on Human Factors in Computing Systems. |
Fairness and Accountability in Data Use |
|
Gallippi, C., Evans J., & Pagliari C.
(2018). Crypto-philanthropy in action: Lessons from 3 deployments in global health.
Blockchain and the Global South Conference. |
Ethics |
|
Smart, P.
(2018). Knowledge machines.
The Knowledge Engineering Review. 33(e11), 1-26. |
Knowledge Machines and Knowledge Elicitation |
|
Smart, P.
(2018). Human-extended machine cognition.
Cognitive Systems Research. 49, 9 - 23. |
Machine Intelligence and Extended Cognition |
|
Smart, P.
(2018). Emerging Digital Technologies: Implications for Extended Conceptions of Cognition and Knowledge.
Extended Epistemology. |
Machine Intelligence and Extended Cognition |
|
Smart, P., Madaan A., & Hall W.
(2018). Where the smart things are: social machines and the Internet of Things.
Phenomenology and the Cognitive Sciences. |
Social Computation |
|
Story, H.
(2018). From Digital Sovereignty to the Web of Nations.
Southampton CyberSecurity blog. |
Philosophy of Social Machines |
|
Smart, P., & Shadbolt N.
(2018). The World Wide Web.
(Chase, J., & Coady D., Ed.).The Routledge Handbok of Applied Epistemology. |
Philosophy of Social Machines |
|
Taylor, J., & Pagliari C.
(2018). #Deathbedlive: the end-of-life trajectory, reflected in a cancer patient's tweets.
{BMC} Palliative Care. 17, |
E-Health and Digital Epidemiology |
|
Pagliari, C.
(2018). The Meaning and Misuse of Identity in the Social Machine Age.
Workshop on Ethics and Privacy of Social Machines, Web Science Conference (WebSci18). |
E-Health and Digital Epidemiology |
|
Elliot, M., O'Hara K., Raab C., O'Keefe C. M., Mackey E., Dibben C., et al.
(2018). Functional anonymisation: Personal data and the data environment.
Computer Law & Security Review. 34, 204 - 221. |
Privacy Theories and Frameworks |
|
Lyngs, U., Binns R., Van Kleek M., & Shadbolt N.
(2018). So, Tell Me What Users Want, What They Really, Really Want!.
CHI'18 (alt.chi), ACM Conference on Human Factors in Computing Systems. |
Motivation and Self-Regulation |
|
O'Hara, K.
(2018). The contradictions of digital modernity.
AI {&} SOCIETY. |
Social Machines and Society |
|
Zhao, J., Lyngs U., & Shadbolt N.
(2018). What privacy concerns do parents have about children's mobile apps, and how can they stay SHARP?.
Research report, Dept. of Computer Science, University of Oxford. |
Kids Online Anonymity |
|
Moreau, L.
(2017). A canonical form for PROV documents and its application to equality, signature, and validation.
ACM Transactions on Internet Technology. 20. |
Provenance |
|
Buneman, P., Gascon A., Moreau L., & Murray-Rust D.
(2017). Provenance Composition in PROV.
|
Provenance |
|
Moreau, L., Batlajery B. Victor, Huynh T. Dong, Michaelides D., & Packer H. S.
(2017). A templating system to generate provenance.
IEEE Transactions on Software Engineering. |
Provenance |
|
Huynh, T. Dong
(2017). Provenance and Analytics for Social Machines.
|
Provenance |
|
Van Kleek, M., Liccardi I., Binns R., Zhao J., Weitzner D., & Shadbolt N.
(2017). Better the Devil You Know: Exposing the Data Sharing Practices of Smartphone Apps.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 5208–5220. |
Mobile App X-Ray |
|
Binns, R., Van Kleek M., & Zhao J.
(2017). PROWISH.
|
Mobile App X-Ray |
|
Van Kleek, M., & Binns R.
(2017). Better the Devil You Know: Exposing the Data Sharing Practices of Smartphone Apps (full talk).
|
Mobile App X-Ray |
|
Van Kleek, M., Slack A., Ottewell D., Francis A., & Lee S.
(2017). App Observatory: SOCIAM all-hands update.
|
Mobile App X-Ray |
|
Binns, R.
(2017). Better the Devil You Know: Exposing the Data Sharing Practices of Smartphone Apps (teaser).
|
Mobile App X-Ray |
|
Van Kleek, M., Zhao J., Binns R., Slack A., & Lee S.
(2017). X-Ray Refine.
|
Mobile App X-Ray |
|
Van Kleek, M., Zhao J., Binns R., Francis A., Slack A., Ottewell D., et al.
(2017). X-Ray Archiver.
|
Mobile App X-Ray |
|
O'Hara, K.
(2017). Smart Contracts - Dumb Idea.
{IEEE} Internet Computing. 21, 97–101. |
Fairness and Accountability in Data Use |
|
Binns, R., Zhao J., Van Kleek M., Shadbolt N., Liccardi I., & Weitzner D.
(2017). My Bank Already Gets This Data: Exposure Minimisation and Company Relationships in Privacy Decision-Making.
Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. 2403–2409. |
Fairness and Accountability in Data Use |
|
Binns, R.
(2017). Understanding Algorithmic Decisions.
|
Fairness and Accountability in Data Use |
|
Pagliari, C.
(2017). Blockchain for Clinical Trials - Ethical Issues.
Blockchain for Clinical Trials Symposium. |
Decentralised Personal Data |
|
Pagliari, C.
(2017). Blockchain for Clinical Trials - Ethical Issues.
Blockchain for Clinical Trials Symposium. |
The Quantified Patient |
|
Pagliari, C.
(2017). Blockchain for Clinical Trials - Ethical Issues.
Blockchain for Clinical Trials Symposium. |
Ethics |
|
Story, H.
(2017). SoLiD: co-operating systems.
|
Decentralised Personal Data |
|
Pagliari, C.
(2017). Transparency, Accountability and Informed Choice in Online Genetic Tests: Spotlight on the UK 'Health, Wellness and Lifestyle' Sector.
|
Data Terms of Use |
|
Pagliari, C.
(2017). Blockchain for Clinical Trials - Ethical Issues.
Blockchain for Clinical Trials Symposium. |
Decentralised Personal Data |
|
Hall, J. A., Gertz R., Amato J., & Pagliari C.
(2017). Transparency of genetic testing services for `health, wellness and lifestyle': analysis of online prepurchase information for UK consumers.
European Journal Of Human Genetics. 25, 908 EP -. |
Ethics |
|
Taylor, J., & Pagliari C.
(2017). Mining social media data: How are research sponsors and researchers addressing the ethical challenges?.
Research Ethics. 1747016117738559. |
Ethics |
|
Pagliari, C.
(2017). Blockchain for Clinical Trials - Ethical Issues.
Blockchain for Clinical Trials Symposium. |
The Quantified Patient |
|
Hall, J. A., Gertz R., Amato J., & Pagliari C.
(2017). Transparency of genetic testing services for `health, wellness and lifestyle': analysis of online prepurchase information for UK consumers.
European Journal Of Human Genetics. 25, 908 EP -. |
Data Terms of Use |
|
Pagliari, C.
(2017). Transparency, Accountability and Informed Choice in Online Genetic Tests: Spotlight on the UK 'Health, Wellness and Lifestyle' Sector.
|
Ethics |
|
Pagliari, C.
(2017). Blockchain for Clinical Trials - Ethical Issues.
Blockchain for Clinical Trials Symposium. |
Ethics |
|
Pagliari, C.
(2017). Networks, Crowdsourcing, and the Rise of Social Machines.
|
Trust in Social Machines |
|
O'Hara, K.
(2017). SOCIAM Book: The Theory and Practice of Social Machines.
|
Theoretical Frameworks |
|
Smart, P.
(2017). Social Machines: Theoretical Perspectives (book update).
|
Theoretical Frameworks |
|
Luczak-Roesch, M., Tinati R., & O'Hara K.
(2017). What an entangled Web we weave: An information-centric approach to socio-technical systems.
|
Theoretical Frameworks |
|
Luczak-Roesch, M., & Tinati R.
(2017). The social in the platform trap: Why a microscopic system focus limits the prospect of social machines.
|
Theoretical Frameworks |
|
Smart, P.
(2017). Machine Intelligence and the Social Web: How to Get a Cognitive Upgrade.
|
Machine Intelligence and Extended Cognition |
|
Smart, P.
(2017). COGWEB–Cognition and the Web: Social Minds, Distributed Brains, and Talkative Technologies.
|
Machine Intelligence and Extended Cognition |
|
Smart, P.
(2017). Situating machine intelligence within the cognitive ecology of the Internet.
Minds and Machines. 27, 357–380. |
Machine Intelligence and Extended Cognition |
|
Smart, P.
(2017). Human-Extended Machine Cognition.
|
Machine Intelligence and Extended Cognition |
|
Smart, P.
(2017). Extended cognition and the Internet: a review of current issues and controversies.
Philosophy & Technology. 30(3), 357-390. |
Machine Intelligence and Extended Cognition |
|
Smart, P., Clowes R., & Heersmink R.
(2017). Minds Online: The Interface between Web Science, Cognitive Science and the Philosophy of Mind.
Foundations and Trends® in Web Science. 6, 1–232. |
Philosophy of Social Machines |
|
Smart, P.
(2017). Mandevillian intelligence.
Synthese. |
Philosophy of Social Machines |
|
Smart, P.
(2017). Mandevillian Intelligence.
|
Philosophy of Social Machines |
|
Tiropanis, T.
(2017). Data sharing in the age of the social machine.
|
Social Machine Observatory |
|
Tinati, R., & Luczak-Roesch M.
(2017). Wikipedia: A Complex Social Machine by Ramine Tinati and Markus Luczak-Roesch with Martin Vesely As Coordinator.
SIGWEB Newsl.. 6:1–6:10. |
Wikipedia |
|
Extance, A.
(2017). Could Bitcoin technology help science?.
Nature. |
E-Health and Digital Epidemiology |
|
Vijaykumar, S., Meurzec R. Wally, Jayasundar K., Pagliari C., & Fernandopulle Y.
(2017). What's buzzing on your feed? Health authorities' use of Facebook to combat Zika in Singapore.
Journal of the American Medical Informatics Association. |
E-Health and Digital Epidemiology |
|
Tursunbayeva, A., Franco M., & Pagliari C.
(2017). Use of social media for e-Government in the public health sector: A systematic review of published studies.
Government Information Quarterly. 34, 270–282. |
Integrated Care Pathways |
|
Alexandru, C. Adriana, Clutterbuck D., Papapanagiotou P., Fleuriot J., & Manataki A.
(2017). A Step Towards the Standardisation of HIV Care Practices.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017). 457-462. |
Integrated Care Pathways |
|
Akhlaq, A., Sheikh A., & Pagliari C.
(2017). Health Information Exchange as a Complex and Adaptive Construct: Scoping Review.
Journal of Innovation in Health Informatics. 23, 633. |
Integrated Care Pathways |
|
Dewanti, A., Papapanagiotou P., Gilhooly C., Fleuriot J., Manataki A., & Moss L.
(2017). Development of workflow-based guidelines for the care of burns in Scotland.
|
Integrated Care Pathways |
|
Akhlaq, A., Sheikh A., & Pagliari C.
(2017). Defining Health Information Exchange: Scoping Review of Published Definitions.
Journal of Innovation in Health Informatics. 23, 684. |
Integrated Care Pathways |
|
Papapanagiotou, P.
(2017). Safe Haven in a Box: Project Overview, AS-IS Project Analysis.
|
Data Safe Havens |
|
Pagliari, C.
(2017). Blockchain for Clinical Trials - Ethical Issues.
Blockchain for Clinical Trials Symposium. |
Decentralised Personal Data |
|
Pagliari, C.
(2017). Blockchain for Clinical Trials - Ethical Issues.
Blockchain for Clinical Trials Symposium. |
The Quantified Patient |
|
Pagliari, C.
(2017). Blockchain for Clinical Trials - Ethical Issues.
Blockchain for Clinical Trials Symposium. |
Ethics |
|
Deighan, C., Michalova L., Pagliari C., Elliott J.., Taylor L., & Rinaldi H..
(2017). The Digital Heart Manual: A pilot study of an innovative cardiac rehabilitation programme developed for and with users.
Patient Education and Counseling. 100, |
The Digital Heart Manual |
|
Hanschke, V., Manataki A., Alexandru C. Adriana, Papapanagiotou P., Deighan C., Taylor L., et al.
(2017). Designing a Social Machine for the Heart Manual Service.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017). 435-440. |
The Digital Heart Manual |
|
Papapanagiotou, P., Murray-Rust D., Van Kleek M., Davoust A., Manataki A., & Robertson D.
(2017). Rapid Assembly of Social Machines with the Lightweight Social Calculus.
2017 Workshop on Hybrid Human-Machine Computing (HHMC 2017) . |
Sociagrams |
|
Davoust, A., Papapanagiotou P., Murray-Rust D., Van Kleek M., & Manataki A.
(2017). Sociagrams Demo: How to design a social machine.
|
Sociagrams |
|
Reeves, N., Tinati R., Zerr S., Van Kleek M., & Simperl E.
(2017). From Crowd to Community: A Survey of Online Community Features in Citizen Science Projects.
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. |
Citizen Science Frameworks |
|
O'Hara, K.
(2017). A Privacy Framework for Social Machines.
|
Privacy Theories and Frameworks |
|
O'Hara, K.
(2017). Smart Contracts - Dumb Idea.
IEEE Internet Computing. 21, 97-101. |
Privacy Theories and Frameworks |
|
Slack, A., Ottewell D., & Francis A.
(2017). Ethical Data Initiative.
|
Privacy Theories and Frameworks |
|
Lyngs, U., & McKay R.
(2017). ‘It’s More Fun With My Phone’: A Replication Study of Cell Phone Presence and Task Performance.
39th Annual Conference of the Cognitive Science Society. |
Motivation and Self-Regulation |
|
Lyngs, U.
(2017). 'It's More Fun With My Phone': A Replication Study of Cell Phone Presence and Task Performance.
Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. 136–141. |
Motivation and Self-Regulation |
|
Lyngs, U.
(2017). Ulysses in Cyberspace: Distraction and Self-Regulation in Social Machines.
|
Motivation and Self-Regulation |
|
Tinati, R.
(2017). Emergent Properties of Social Machines.
WAIS Seminar. |
Social Machines and Society |
|
Miller, G.
(2017). Zooniverse: SOCIAM all-hands update.
|
Zooniverse |
|
Tinati, R., Miller G., & Hutchings R.
(2017). Zooniverse panoptes-researcher-dashboard .
|
Zooniverse |
|
Tinati, R., Simperl E., & Luczak-Roesch M.
(2017). To help or hinder: Real-time chat in citizen science.
|
Eyewire |
|
Tinati, R., Luczak-Roesch M., Simperl E., & Hall W.
(2017). An investigation of player motivations in Eyewire, a gamified citizen science project.
Computers in Human Behavior. 73, 527 - 540. |
Eyewire |
|
Pagliari, C.
(2017). Transparency, Accountability and Informed Choice in Online Genetic Tests: Spotlight on the UK 'Health, Wellness and Lifestyle' Sector.
|
Ethics |
|
Pagliari, C.
(2017). Transparency, Accountability and Informed Choice in Online Genetic Tests: Spotlight on the UK 'Health, Wellness and Lifestyle' Sector.
|
Data Terms of Use |
|
Hall, J. A., Gertz R., Amato J., & Pagliari C.
(2017). Transparency of genetic testing services for `health, wellness and lifestyle': analysis of online prepurchase information for UK consumers.
European Journal Of Human Genetics. 25, 908 EP -. |
Ethics |
|
Hall, J. A., Gertz R., Amato J., & Pagliari C.
(2017). Transparency of genetic testing services for `health, wellness and lifestyle': analysis of online prepurchase information for UK consumers.
European Journal Of Human Genetics. 25, 908 EP -. |
Data Terms of Use |
|
Gascon, A.
(2017). Privacy-Preserving Data Analysis.
|
Privacy-Preserving Data Analysis |
|
Tiwari, A.
(2017). Look for the Proof to Find the Program: Decorated-Component-Based Program Synthesis.
"Analysis of Software and Hardware" @ CAV 2017. |
Privacy-Preserving Data Analysis |
|
Gascon, A.
(2017). Privacy-Preserving Distributed Linear Regression on High-Dimensional Data.
17th Privacy Enhancing Technologies Symposium. |
Privacy-Preserving Data Analysis |
|
Gascon, A., Schoppmann P., Balle B., Raykova M., Dorner J., Zahur S., et al.
(2017). Privacy-Preserving Distributed Linear Regression on High-Dimensional Data.
Privacy Enhancing Technologies. 4, 248-267. |
Privacy-Preserving Data Analysis |
|
Gascon, A., Tiwari A., Carmer B., & Mathur U.
(2017). Look for the Proof to Find the Program: Decorated-Component-Based Program Synthesis.
Computer Aided Verification. 86–103. |
Privacy-Preserving Data Analysis |
|
Buneman, P., Davidson S., & Frew J.
(2016). Why Data Citation is a Computational Problem.
Commun. ACM. 59, 50–57. |
Data Citation |
|
Davidson, S.
(2016). Why Data Citation Is a Computational Problem.
|
Data Citation |
|
Zhao, J., Van Kleek M., & Binns R.
(2016). X-Ray DCI.
|
Mobile App X-Ray |
|
O'Hara, K.
(2016). The Seven Veils of Privacy.
IEEE Internet Computing. 20, 86-91. |
Privacy Languages |
|
Zhao, J., Binns R., Van Kleek M., & Shadbolt N.
(2016). Privacy Languages: Are We There Yet to Enable User Controls?.
Proceedings of the 25th International Conference Companion on World Wide Web. 799–806. |
Privacy Languages |
|
Zhao, J., Binns R., Van Kleek M., & Shadbolt N.
(2016). Privacy Languages: Are We There Yet to Enable User Controls?.
Proceedings of the 25th International Conference Companion on World Wide Web. 799–806. |
Data Terms of Use |
|
Van Kleek, M., Murray-Rust D., Guy A., O'Hara K., & Shadbolt N.
(2016). Computationally Mediated Pro-Social Deception (teaser).
CHi'16. |
Pro-Social Deception |
|
Van Kleek, M., Murray-Rust D., Guy A., O'Hara K., & Shadbolt N.
(2016). Computationally Mediated Pro-Social Deception.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 552–563. |
Pro-Social Deception |
|
Waites, W., Sweet J., Baig R., Buneman P., Fayed M., Hughes G., et al.
(2016). RemIX: A Distributed Internet Exchange for Remote and Rural Networks.
Proceedings of the 2016 Workshop on Global Access to the Internet for All. 25–30. |
Decentralised Personal Data |
|
Van Kleek, M., Binns R., Zhao J., & Shadbolt N.
(2016). The Long-Term Implications of the Increasing Loss of Control Over Our Personal Information.
CHI. |
Decentralised Personal Data |
|
Van Kleek, M.
(2016). Max.
|
Decentralised Personal Data |
|
Holeman, I., Cookson T. Patricia, & Pagliari C.
(2016). Digital technology for health sector governance in low and middle income countries: a scoping review.
Journal of Global Health. 6, |
Integrated Care Pathways |
|
Pagliari, C.
(2016). The Opportunities and Ethics of Big Data.
|
Ethics |
|
Pagliari, C.
(2016). Ethics Case Study: Social Machines.
|
Ethics |
|
Holeman, I., Cookson T. Patricia, & Pagliari C.
(2016). Digital technology for health sector governance in low and middle income countries: a scoping review.
Journal of Global Health. 6, |
Ethics |
|
Pagliari, C.
(2016). Combatting corruption with technology for sustainable healthcare.
|
Ethics |
|
Pagliari, C.
(2016). Combatting corruption with technology for sustainable healthcare.
|
E-Health and Digital Epidemiology |
|
Holeman, I., Cookson T. Patricia, & Pagliari C.
(2016). Digital technology for health sector governance in low and middle income countries: a scoping review.
Journal of Global Health. 6, |
E-Health and Digital Epidemiology |
|
Aitken, M., Cunningham-Burley S., & Pagliari C.
(2016). Moving from trust to trustworthiness: Experiences of public engagement in the Scottish Health Informatics Programme.
Science and Public Policy. 43, 713-723. |
Trust in Social Machines |
|
Pagliari, C., Hall J., & Amato J.
(2016). Transparency in the marketing of direct-to-consumer genetic tests.
|
Trust in Social Machines |
|
Aitken, M., Jorre J. de St., Pagliari C., Jepson R., & Cunningham-Burley S.
(2016). Public responses to the sharing and linkage of health data for research purposes: a systematic review and thematic synthesis of qualitative studies.
BMC Medical Ethics. 17, 73. |
Trust in Social Machines |
|
Joksimović, S., Manataki A., Gašević D., Dawson S., Kovanović V., & de Kereki I. Friss
(2016). Translating Network Position into Performance: Importance of Centrality in Different Network Configurations.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge. 314–323. |
Theoretical Frameworks |
|
Hooper, C., Bailey B., Glaser H., & Hendler J.
(2016). Social machines in practice: solutions, stakeholders and scopes.
|
Theoretical Frameworks |
|
Van Kleek, M.
(2016). Decentralised Social Machine Virtual Machine (dSMVM) network.
|
Theoretical Frameworks |
|
Luczak-Roesch, M., Tinati R., Aljaloud S., Hall W., & Shadbolt N.
(2016). A Universal Socio-Technical Computing Machine.
(Bozzon, A., Cudré-Mauroux P., & Pautasso C., Ed.)."Web Engineering: 16th International Conference, ICWE 2016, Lugano, Switzerland, June 6-9, 2016. Proceedings". "559–562". |
Social Computation |
|
Smart, P., O'Hara K., & Hall W.
(2016). Predicting me, experiencing us: predictive processing, big data and the mind of society.
|
Philosophy of Social Machines |
|
Smart, P.
(2016). The rise of the (social) machines.
|
Philosophy of Social Machines |
|
Siow, E., Wang X., & Tiropanis T.
(2016). Facilitating data-driven innovation using VOICE observatory infrastructure.
Proceedings of the Workshop on Data-Driven Innovation on the Web - {DDI} {\textquotesingle}16. |
Social Machine Observatory |
|
Tinati, R., & Tiropanis T.
(2016). Introduction to the Web Observatory.
|
Social Machine Observatory |
|
Madaan, A., Tiropanis T., Srinivasa S., & Hall W.
(2016). Observlets: Empowering Analytical Observations on Web Observatory.
Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion. |
Web Science |
|
Phethean, C.., Simperl E., Tiropanis T., Tinati R., & Hall W.
(2016). The Role of Data Science in Web Science.
IEEE Intelligent Systems. 31, 102-107. |
Web Science |
|
Tinati, R., Van Kleek M., & Smith D. A.
(2016). SOCIAM Macroscope Node Server.
|
Web Macroscope |
|
Tinati, R.
(2016). Macroscope-Server.
|
Web Macroscope |
|
Tinati, R.
(2016). Filter App for the MacroScope.
|
Web Macroscope |
|
Tinati, R.
(2016). Macroscope-UI.
|
Web Macroscope |
|
Tinati, R., Luczak-Roesch M., & Hall W.
(2016). Finding Structure in Wikipedia Edit Activity: An Information Cascade Approach.
Proceedings of the 25th International Conference Companion on World Wide Web. 1007–1012. |
Wikipedia |
|
Tinati, R., Luczak-Roesch M., Hall W., & Shadbolt N.
(2016). More Than an Edit: Using Transcendental Information Cascades to Capture Hidden Structure in Wikipedia.
Proceedings of the 25th International Conference Companion on World Wide Web. 115–116. |
Wikipedia |
|
Murthy, D., Powell A., Tinati R., Anstead N., Carr L., Halford S., et al.
(2016). Automation, Algorithms, and Politics| Bots and Political Influence: A Sociotechnical Investigation of Social Network Capital.
International Journal of Communication. 10, |
Political Social Machines |
|
Holeman, I., Cookson T. Patricia, & Pagliari C.
(2016). Digital technology for health sector governance in low and middle income countries: a scoping review.
Journal of Global Health. 6, |
E-Health and Digital Epidemiology |
|
Pagliari, C.
(2016). Combatting corruption with technology for sustainable healthcare.
|
E-Health and Digital Epidemiology |
|
Holeman, I., Cookson T. Patricia, & Pagliari C.
(2016). Digital technology for health sector governance in low and middle income countries: a scoping review.
Journal of Global Health. 6, |
Integrated Care Pathways |
|
Pagliari, C.
(2016). Personal Health Records and Personalised Health. Where Are We Headed?.
|
E-Health and Digital Epidemiology |
|
Holeman, I., Cookson T. Patricia, & Pagliari C.
(2016). Digital technology for health sector governance in low and middle income countries: a scoping review.
Journal of Global Health. 6, |
Ethics |
|
Pagliari, C., & Vijaykumar S.
(2016). Digital Participatory Surveillance and the Zika Crisis: Opportunities and Caveats.
|
E-Health and Digital Epidemiology |
|
Pagliari, C.
(2016). Combatting corruption with technology for sustainable healthcare.
|
Ethics |
|
Burton, C., Tatar A. Szentagota, McKinstry B., Matheson C., Matu S., Moldovan R., et al.
(2016). Pilot randomised controlled trial of Help4Mood, an embodied virtual agent-based system to support treatment of depression.
Journal of Telemedicine and Telecare. 22, 348–355. |
E-Health and Digital Epidemiology |
|
Pagliari, C., & Vijaykumar S.
(2016). Digital Participatory Surveillance and the Zika Crisis: Opportunities and Caveats.
|
Crowdsourcing |
|
Holeman, I., Cookson T. Patricia, & Pagliari C.
(2016). Digital technology for health sector governance in low and middle income countries: a scoping review.
Journal of Global Health. 6, |
E-Health and Digital Epidemiology |
|
Holeman, I., Cookson T. Patricia, & Pagliari C.
(2016). Digital technology for health sector governance in low and middle income countries: a scoping review.
Journal of Global Health. 6, |
Integrated Care Pathways |
|
Holeman, I., Cookson T. Patricia, & Pagliari C.
(2016). Digital technology for health sector governance in low and middle income countries: a scoping review.
Journal of Global Health. 6, |
Ethics |
|
Franco, M., Tursunbayeva A., & Pagliari C.
(2016). Social Media for e-Government in the Public Health Sector: Protocol for a Systematic Review.
{JMIR} Research Protocols. 5, e42. |
Integrated Care Pathways |
|
Robertson, D., Giunchiglia F., Pavis S., Turra E., Bella G., Elliot E., et al.
(2016). Healthcare Data Safe Havens: Towards a Logical Architecture and Experiment Automation.
The Journal of Engineering. |
Data Safe Havens |
|
Tursunbayeva, A., Bunduchi R., Franco M., & Pagliari C.
(2016). Human resource information systems in health care: a systematic evidence review.
Journal of the American Medical Informatics Association. ocw141. |
Data Safe Havens |
|
West, P., Giordano R., Van Kleek M., & Shadbolt N.
(2016). The Quantified Patient in the Doctor's Office: Challenges and Opportunities (teaser).
CHI'16. |
The Quantified Patient |
|
West, P., Giordano R., Van Kleek M., & Shadbolt N.
(2016). The Quantified Patient in the Doctor's Office: Challenges & Opportunities.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 3066–3078. |
The Quantified Patient |
|
Pagliari, C.
(2016). Digital Support for Childbirth in Developing Countries.
{JAMA} Pediatrics. 170, 737. |
The Quantified Patient |
|
Murray-Rust, D., Papapanagiotou P., & Robertson D.
(2016). Softening electronic institutions to support natural interaction.
Human Computation. 2, |
Lightweight Social Calculus |
|
Feyisetan, O., & Simperl E.
(2016). Please Stay vs Let's Play: Social Pressure Incentives in Paid Collaborative Crowdsourcing.
Lecture Notes in Computer Science. 405–412. |
Crowdsourcing |
|
Pagliari, C., & Vijaykumar S.
(2016). Digital Participatory Surveillance and the Zika Crisis: Opportunities and Caveats.
|
E-Health and Digital Epidemiology |
|
Pagliari, C., & Vijaykumar S.
(2016). Digital Participatory Surveillance and the Zika Crisis: Opportunities and Caveats.
|
Crowdsourcing |
|
Zahur, S., Wang X., Raykova M., Gascon A., Doerner J., Evans D., et al.
(2016). Revisiting Square-Root ORAM: Efficient Random Access in Multi-party Computation.
2016 {IEEE} Symposium on Security and Privacy ({SP}). |
Privacy Theories and Frameworks |
|
Buneman, P., & Staworko S.
(2016). RDF Graph Alignment with Bisimulation.
Proc. VLDB Endow.. 9, 1149–1160. |
Linked Data |
|
Luczak-Roesch, M.
(2016). Navigating a Heterogeneous Data Landscape and Legislating for Big Data.
|
Social Machines and Society |
|
de Kereki, I. Friss, J. Paulos V., & Manataki A.
(2016). A bilingual MOOC that teaches youngsters how to program: Analysis and reflections on one year of experiences.
2016 {XLII} Latin American Computing Conference ({CLEI}). |
Social Machines and Society |
|
de Kereki, I. Friss, & Manataki A.
(2016). “Code Yourself” and “A Programar”: A bilingual MOOC for teaching computer science to teenagers.
2016 {IEEE} Frontiers in Education Conference ({FIE}). |
Social Machines and Society |
|
Tinati, R., Luczak-Roesch M., Simperl E., & Hall W.
(2016). Because Science is Awesome: Studying Participation in a Citizen Science Game.
Proceedings of the 8th ACM Conference on Web Science. 45–54. |
Zooniverse |
|
Zhao, J., Binns R., Van Kleek M., & Shadbolt N.
(2016). Privacy Languages: Are We There Yet to Enable User Controls?.
Proceedings of the 25th International Conference Companion on World Wide Web. 799–806. |
Privacy Languages |
|
Zhao, J., Binns R., Van Kleek M., & Shadbolt N.
(2016). Privacy Languages: Are We There Yet to Enable User Controls?.
Proceedings of the 25th International Conference Companion on World Wide Web. 799–806. |
Data Terms of Use |
|
Moreau, L., & Groth P.
(2015). Provenance of Publications: A PROV style for latex.
Seventh USENIX Workshop on the Theory and Practice of Provenance (TAPP'15). |
Provenance |
|
Moreau, L.
(2015). Aggregation by Provenance Types: A Technique for Summarising Provenance Graphs.
Electronic Proceedings in Theoretical Computer Science. 181, 129–144. |
Provenance |
|
Dragan, L., Luczak-Rösch M., Simperl E., Packer H., & Moreau L.
(2015). A-posteriori Provenance-enabled Linking of Publications and Datasets Via Crowdsourcing.
D-Lib Magazine. 21, in print. |
Provenance |
|
Moreau, L., Groth P., Cheney J., Lebo T., & Miles S.
(2015). The rationale of PROV.
Web Semantics: Science, Services and Agents on the World Wide Web. 35, 235–257. |
Provenance |
|
Weston, A., Morrison L., Yardley L., Van Kleek M., & Weal M.
(2015). Measurements of engagement in mobile behavioural interventions?.
Digital Health 2015. |
Pro-Social Deception |
|
Abramatic, J-F., Bellamy B., Cate F., van Eecke P., van Eijk N., Guild E., et al.
(2015). Privacy Bridges: EU and US privacy experts in search of transatlantic privacy solutions.
37th International Privacy Conference Amsterdam 2015. |
Fairness and Accountability in Data Use |
|
Van Kleek, M., Willams C., West P., Tinati R., Smith D., & Dragan L.
(2015). INDX.
|
Decentralised Personal Data |
|
Van Kleek, M., Smith D., Murray-Rust D., Guy A., O'Hara K., Dragan L., et al.
(2015). Social Personal Data Stores.
Proceedings of the 24th International Conference on World Wide Web - {WWW} {\textquotesingle}15 Companion. |
Decentralised Personal Data |
|
Oswald, M., Van Kleek M., Murray-Rust D., O'Hara K., & Shadbolt N.
(2015). Possible futures for personal data stores .
TRILCon. |
Decentralised Personal Data |
|
Murray-Rust, D., O'Hara K., Oswald M., Van Kleek M., & Shadbolt N.
(2015). Privacy by obfuscation with personal data management architectures: possibilities and constraints.
Workshop on the Economics of Surveillance, ACM Web Science Conference 2015. |
Decentralised Personal Data |
|
Van Kleek, M.
(2015). Not in my castle: the case for the web, not app platforms, as a model for digital home ecosystems..
USEWOD'15. |
Decentralised Personal Data |
|
Pagliari, C.
(2015). Politicians and the Privacy-Transparency Paradox.
|
Ethics |
|
Pagliari, C.
(2015). Deception and Democracy in Digital Science Publishing. LinkedIn Publishing..
|
Ethics |
|
Pagliari, C.
(2015). Privacy, data science and personalised medicine. Time for a balanced discussion.
|
Ethics |
|
Pagliari, C.
(2015). Integrating psychology and big data for emotionally smarter investment.
|
Ethics |
|
O'Hara, K.
(2015). Are We Getting Lost in Data?.
|
Trust in Social Machines |
|
Shadbolt, N.
(2015). SOCIAM Introduction.
|
Theoretical Frameworks |
|
Murray-Rust, D., Tarte S., Hartswood M., & Green O.
(2015). On Wayfaring in Social Machines.
Proceedings of the 24th International Conference on World Wide Web. 1143–1148. |
Theoretical Frameworks |
|
Moreau, L., Groth P., Cheney J., Lebo T., & Miles S.
(2015). The rationale of PROV.
Web Semantics: Science, Services and Agents on the World Wide Web. 35, 235–257. |
Theoretical Frameworks |
|
Kwasnikowska, N., Moreau L., & Van Den Bussche J.
(2015). A Formal Account of the Open Provenance Model.
{ACM} Transactions on the Web. 9, 1–44. |
Theoretical Frameworks |
|
Shadbolt, N., & Smart P.
(2015). Knowledge Elicitation: Methods, Tools and Techniques.
(Wilson, J. R., & Sharples S., Ed.).Evaluation of Human Work. 163–200. |
Knowledge Machines and Knowledge Elicitation |
|
Luczak-Roesch, M., Tinati R., O'Hara K., & Shadbolt N.
(2015). Socio-technical Computation.
Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work &\#38; Social Computing. 139–142. |
Social Computation |
|
Brown, I., Harris L., & Hall W.
(2015). DNA.
Proceedings of the {ACM} Web Science Conference on {ZZZ} - {WebSci} {\textquotesingle}15. |
Social Machine Observatory |
|
Tinati, R., Wang X., Brown I., Tiropanis T., & Hall W.
(2015). A Streaming Real-Time Web Observatory Architecture for Monitoring the Health of Social Machines.
Proceedings of the 24th International Conference on World Wide Web - {WWW} {\textquotesingle}15 Companion. |
Social Machine Observatory |
|
De Roure, D., Hooper C., Page K. R., Tarte S., & Willcox P.
(2015). Observing Social Machines Part 2.
Proceedings of the {ACM} Web Science Conference on {ZZZ} - {WebSci} {\textquotesingle}15. |
Social Machine Observatory |
|
Luczak-Roesch, M.
(2015). INCROWD.
|
Social Machine Observatory |
|
Tinati, R., Wang X.., Tiropanis T., & Hall W.
(2015). Building a Real-Time Web Observatory.
IEEE Internet Computing. 19, 36-45. |
Social Machine Observatory |
|
Tiropanis, T., Hall W., Crowcroft J., Contractor N., & Tassiulas L.
(2015). Network science, web science, and internet science.
Communications of the {ACM}. 58, 76–82. |
Web Science |
|
Leanne, F., Hall W., Koronios A., Mayer W., O'Hara K., Rowland-Campbell A., et al.
(2015). Governance in the age of social machines: the web observatory.
The Australia and New Zealand School of Government. 1–34. |
Web Science |
|
Wang, X., Tinati R., Mayer W., Rowland-Campbell A., Tiropanis T., Brown I., et al.
(2015). Building a web observatory for south Australian government: supporting an age friendly population.
3rd International workshop on Building Web Observatories (BWOW). |
Web Science |
|
Tarte, S., Willcox P., Glaser H., & De Roure D.
(2015). Archetypal Narratives in Social Machines: Approaching Sociality Through Prosopography.
Proceedings of the ACM Web Science Conference. 24:1–24:10. |
Prosopography |
|
Tinati, R.
(2015). SOCIAM Macroscope.
|
Web Macroscope |
|
Müller-Birn, C., Karran B., Lehmann J., & Luczak-Roesch M.
(2015). Peer-production System or Collaborative Ontology Engineering Effort: What is Wikidata?.
Proceedings of the 11th International Symposium on Open Collaboration. 20:1–20:10. |
Wikipedia |
|
Tinati, R., Luczak-Roesch M., Shadbolt N., & Hall W.
(2015). Using WikiProjects to Measure the Health of Wikipedia.
Proceedings of the 24th International Conference on World Wide Web. 369–370. |
Wikipedia |
|
Tinati, R.
(2015). Wikipedia Word Map.
|
Wikipedia |
|
Tinati, R.
(2015). Growth of Wikipedia Projects.
|
Wikipedia |
|
O'Hara, K., & Stevens D.
(2015). Echo Chambers and Online Radicalism: Assessing the Internet's Complicity in Violent Extremism.
Policy & Internet. 7, 401–422. |
Political Social Machines |
|
Pagliari, C.
(2015). Value of Personal Health Records for Patients, Citizens & Science.
|
E-Health and Digital Epidemiology |
|
O'Hara, K.
(2015). Government open data and transparency: Oakeshott, civil association and the general will.
Global Discourse. 5, 135-152. |
Open Data |
|
Pinciroli, F., & Pagliari C.
(2015). Understanding the evolving role of the Personal Health Record.
Computers in Biology and Medicine. 59, 160–163. |
Data Safe Havens |
|
Cucciniello, M., Lapsley I., Nasi G., & Pagliari C.
(2015). Understanding key factors affecting electronic medical record implementation: a sociotechnical approach.
{BMC} Health Services Research. 15, |
Data Safe Havens |
|
Lee, S. Hwa, Nurmatov U. B., Nwaru B. I., Mukherjee M., Grant L., & Pagliari C.
(2015). Effectiveness of Health interventions for maternal, newborn and child health in low– and middle–income countries: Systematic review and meta–analysis.
Journal of Global Health. 6, |
The Quantified Patient |
|
Hanley, J., Fairbrother P., McCloughan L., Pagliari C., Paterson M., Pinnock H., et al.
(2015). Qualitative study of telemonitoring of blood glucose and blood pressure in type 2 diabetes.
{BMJ} Open. 5, e008896. |
The Quantified Patient |
|
West, P., Giordano R., & Van Kleek M.
(2015). The Quantified Self and Clinical Decision Making: Understanding and Reducing Clinical Decision Bias and Errors When Using Quantified Self..
|
The Quantified Patient |
|
Murray-Rust, D., Scekic O., Papapanagiotou P., Truong H-L., Roberston D., & Dustdar S.
(2015). A Collaboration Model for Community-Based Software Development with Social Machines.
EAI Endorsed Transactions on Collaborative Computing. 15, |
Lightweight Social Calculus |
|
Tinati, R.
(2015). Twitter Collisions.
|
Crowdsourcing |
|
Tinati, R.
(2015). From Coincidence to Purposeful Flow?.
ASONAM2015 . |
Crowdsourcing |
|
Pagliari, C.
(2015). Digital Support for Nepal: The Human Face of Big Data.
|
Crowdsourcing |
|
Dragan, L., Luczak-Roesch M., Simperl E., Packer H. S., & Moreau L.
(2015). A-posteriori Provenance-enabled Linking of Publications and Datasets Via Crowdsourcing.
D-Lib Magazine. 21, |
Crowdsourcing |
|
Tinati, R.
(2015). Transcendental Information Cascades.
|
Crowdsourcing |
|
Luczak-Roesch, M., Tinati R., Van Kleek M., & Shadbolt N.
(2015). From Coincidence to Purposeful Flow? Properties of Transcendental Information Cascades.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015. 633–638. |
Crowdsourcing |
|
Luczak-Roesch, M., Tinati R., & Shadbolt N.
(2015). When Resources Collide: Towards a Theory of Coincidence in Information Spaces.
Proceedings of the 24th International Conference on World Wide Web. 1137–1142. |
Crowdsourcing |
|
Feyisetan, O., Simperl E., Van Kleek M., & Shadbolt N.
(2015). Improving Paid Microtasks Through Gamification and Adaptive Furtherance Incentives.
Proceedings of the 24th International Conference on World Wide Web. 333–343. |
Crowdsourcing |
|
O'Hara, K.
(2015). Authority Printed Upon Emptiness.
IEEE Internet Computing. 19, 72-76. |
Privacy Theories and Frameworks |
|
O'Hara, K.
(2015). Data, Legibility, Creativity ... and Power.
IEEE Internet Computing. 19, 88-91. |
Privacy Theories and Frameworks |
|
Kostylev, E. V., & Reutter J. L.
(2015). Complexity of answering counting aggregate queries over DL-Lite.
Web Semantics: Science, Services and Agents on the World Wide Web. 33, 94 - 111. |
Linked Data |
|
Story, H.
(2015). Linked Data Platform 1.0..
|
Linked Data |
|
Van Kleek, M., Smith D., Shadbolt N., Murray-Rust D., & Guy A.
(2015). Self Curation, Social Partitioning, Escaping from Prejudice and Harassment: The Many Dimensions of Lying Online.
Proceedings of the 24th International Conference on World Wide Web. 371–372. |
Identity and Self-Curation |
|
Van Kleek, M., Murray-Rust D., Guy A., Smith D., O'Hara K., & Shadbolt N.
(2015). Self Curation, Social Partitioning, Escaping from Prejudice and Harassment: The Many Dimensions of Lying Online.
Proceedings of the ACM Web Science Conference. 10:1–10:9. |
Identity and Self-Curation |
|
Hara, O'K.
(2015). The Right to Be Forgotten: The Good, the Bad, and the Ugly.
{IEEE} Internet Computing. 19, 73–79. |
Social Machines and Society |
|
Segal, A., Gal Y'akov.(Kobi), Simpson R., Homsy V. Victoria, Hartswood M., Page K. R., et al.
(2015). Improving Productivity in Citizen Science Through Controlled Intervention.
Proceedings of the 24th International Conference on World Wide Web. 331–337. |
Zooniverse |
|
Tinati, R., Van Kleek M., Simperl E., Luczak-Roesch M., Simpson R., & Shadbolt N.
(2015). Designing for Citizen Data Analysis: A Cross-Sectional Case Study of a Multi-Domain Citizen Science Platform.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. 4069–4078. |
Zooniverse |
|
Tinati, R., Van Kleek M., Simperl E., Luczak-Roesch M., Simpson R., & Shadbolt N.
(2015). Designing for Citizen Data Analysis: A Cross-Sectional Case Study of a Multi-Domain Citizen Science Platform (CHI2015 Preview Trailer).
CHI'15. |
Zooniverse |
|
Tinati, R., Luczak-Roesch M., Simperl E., Shadbolt N., & Hall W.
(2015). 'Command' and Conquer: Analysing Discussion in a Citizen Science Game.
Proceedings of the ACM Web Science Conference. 26:1–26:10. |
Eyewire |
|
Pagliari, C.
(2015). Deception and Democracy in Digital Science Publishing.
|
Scholarly Communication |
|
Buneman, P.
(2014). The Providence of Provenance.
|
Provenance |
|
Packer, H. S., Moreau L., & Dragan L.
(2014). An auditable reputation service for collective adaptive systems.
|
Provenance |
|
Dragan, L., Luczak-Roesch M., Simperl E., Berendt B., & Moreau L.
(2014). Crowdsourcing data citation graphs using provenance.
Provenance Analytics. 4. |
Provenance |
|
Moreau, L., Huynh T. Dong, & Michaelides D.
(2014). An Online Validator for Provenance: Algorithmic Design, Testing, and API.
Proceedings of the 17th International Conference on Fundamental Approaches to Software Engineering - Volume 8411. 291–305. |
Provenance |
|
Kostylev, E. V., Reutter J. L., & Salamon A. Z.
(2014). Classification of Annotation Semirings over Containment of Conjunctive Queries.
ACM Trans. Database Syst.. 39, 1:1–1:39. |
Data Annotation |
|
Murray-Rust, D., Shadbolt N., Van Kleek M., & Dragan L.
(2014). Social palimpsests - clouding the lens of the personal panopticon.
|
Pro-Social Deception |
|
O'Hara, K., Haynes P., & Nguyen M-H. Carolyn
(2014). Introduction.
|
Decentralised Personal Data |
|
Van Kleek, M.
(2014). Alternative Internet.
|
Decentralised Personal Data |
|
O'Hara, K., Haynes P., & Nguyen M-H. Carolyn
(2014). Digital enlightenment yearbook 2014: social networks and social machines, surveillance and empowerment.
|
Decentralised Personal Data |
|
Smith, D.
(2014). INDX Personal Data Store.
|
Decentralised Personal Data |
|
O'Hara, K., Carolyn N. M. - H., & Peter H.
(2014). Introduction.
Stand Alone. 3–21. |
Decentralised Personal Data |
|
Van Kleek, M., Smith D., Tinati R., Hara O'K., Hall W., & Shadbolt N.
(2014). 7 billion home telescopes.
Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion. |
Decentralised Personal Data |
|
Van Kleek, M., & O'Hara K.
(2014). The Future of Social Is Personal: The Potential of the Personal Data Store.
(Miorandi, D., Maltese V., Rovatsos M., Nijholt A., & Stewart J., Ed.).Social Collective Intelligence: Combining the Powers of Humans and Machines to Build a Smarter Society. 125–158. |
Decentralised Personal Data |
|
Liccardi, I., Pato J., Weitzner D., Abelson H., & De Roure D.
(2014). No technical understanding required: Helping users make informed choices about access to their personal data.
Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. |
Decentralised Personal Data |
|
Dragan, L., Luczak-Roesch M., & Shadbolt N.
(2014). Understanding personal data as a space - learning from dataspaces to create linked personal data.
Services and Applications over Linked APIs and Data (SALAD2014). |
Decentralised Personal Data |
|
Hartswood, M., Grimpe B., Jirotka M., & Anderson S.
(2014). Towards the Ethical Governance of Smart Society.
(Miorandi, D., Maltese V., Rovatsos M., Nijholt A., & Stewart J., Ed.)."Social Collective Intelligence: Combining the Powers of Humans and Machines to Build a Smarter Society". "3–30". |
Ethics |
|
Shadbolt, N.
(2014). SOCIAM - Setting The Scene: Nigel Shadbolt.
|
Theoretical Frameworks |
|
Smart, P., & Shadbolt N.
(2014). Social Machines.
(Khosrow-Pour, M., Ed.).Encyclopedia of Information Science and Technology. 6855–6862. |
Theoretical Frameworks |
|
Tarte, S., De Roure D., & Willcox P.
(2014). Working out the Plot: The Role of Stories in Social Machines.
Proceedings of the 23rd International Conference on World Wide Web. 909–914. |
Theoretical Frameworks |
|
De Roure, D.
(2014). The Emerging Paradigm of Social Machines.
Stand Alone. 227?234. |
Theoretical Frameworks |
|
De Roure, D.
(2014). SOCIAM - Social Machines.
|
Theoretical Frameworks |
|
Smart, P., Simperl E., & Shadbolt N.
(2014). A Taxonomic Framework for Social Machines.
(Miorandi, D., Maltese V., Rovatsos M., Nijholt A., & Stewart J., Ed.).Social Collective Intelligence: Combining the Powers of Humans and Machines to Build a Smarter Society. 51–85. |
Theoretical Frameworks |
|
Tinati, R., Carr L., Halford S., & Pope C.
(2014). (Re)Integrating the Web: Beyond 'Socio-technical'.
Proceedings of the 23rd International Conference on World Wide Web. 565–566. |
Theoretical Frameworks |
|
Robertson, D., Moreau L., Murray-Rust D., & O'Hara K.
(2014). An Open System for Social Computation.
O'Hara, Kieron , Nguyen, M.-H. Carolyn and Haynes, Peter D. (eds.) Digital Enlightenment Yearbook 2014: Social Networks and Social Machines, Surveillance and Empowerment.}, Chapter title = {An Open System for Social Computation. |
Social Computation |
|
Robertson, D.
(2014). State, Data and Social Computation.
|
Social Computation |
|
Tiropanis, T., Hall W., Hendler J., & de Larrinaga C.
(2014). The Web Observatory: A Middle Layer for Broad Data.
Big Data. 2, 129–133. |
Social Machine Observatory |
|
-Administrator, SOCIAM.
(2014). Updates on the SOCIAM Web Observatory.
|
Social Machine Observatory |
|
Tinati, R.
(2014). Web Observatory Workshop (WOW) 2014 @ WWW2014.
|
Social Machine Observatory |
|
Tiropanis, T.
(2014). A Web of Observatories.
|
Social Machine Observatory |
|
Tinati, R., Tiropanis T., Hall W., De Roure D., & Shadbolt N.
(2014). Web Observatory.
|
Social Machine Observatory |
|
O'Hara, K., Sackley A., Tinati R., Tiropanis T., & Wang X.
(2014). Security and Legitimacy in a Web Observatory: Requirements for Data Linkage, Sharing and Collection in Policing and Justice.
|
Social Machine Observatory |
|
Shadbolt, N.
(2014). Nigel Shadbolt on Web Science.
|
Web Science |
|
Van Kleek, M.
(2014). Barebones Multi-Stream Consumer for Wikipedia/Twitter/etc.
|
Web Science |
|
Tinati, R.
(2014). Web Science 2014 Conference - Summary and Thoughts.
|
Web Science |
|
Smith, D. A., & Papapanagiotou P.
(2014). SOCIAM Livementions Demonstrator.
|
Web Science |
|
Tinati, R.
(2014). Web Observatory: Analysis of social machines.
|
Web Science |
|
Tinati, R., Phillipe O., Pope C., Carr L., & Halford S.
(2014). Challenging social media analytics.
Proceedings of the 2014 {ACM} conference on Web science - WebSci '14. |
Web Science |
|
Brown, I., Hall W., & Harris L.
(2014). Towards a taxonomy for web observatories.
WOW2014 Web Observatory Workshop. |
Web Science |
|
Hall, W., Tiropanis T., Tinati R., Wang X., Luczak-Roesch M., & Simperl E.
(2014). The Web Science Observatory - The Challenges of Analytics over Distributed Linked Data Infrastructures.
ECRIM News. 29–30. |
Web Science |
|
Tinati, R.
(2014). Web Observatory.
|
Web Science |
|
Hall, W.
(2014). Wendy Hall on Web Science.
|
Web Science |
|
Tarte, S.
(2014). On Sociality in Social Machines.
|
Prosopography |
|
Brodzki, J.
(2014). Hunting Planets with Topology.
|
Topological Data Analysis |
|
O'Hara, K.
(2014). SOCIAM collaboration: The Policing Domain.
|
Policing |
|
Tinati, R.
(2014). Wikimania Social Machines Hack Event.
|
Wikipedia |
|
Tinati, R., Gaskell P., Tiropanis T., Phillipe O., & Hall W.
(2014). Examining Wikipedia Across Linguistic and Temporal Borders.
Proceedings of the 23rd International Conference on World Wide Web. 445–450. |
Wikipedia |
|
Tiropanis, T., Rowland-Campbell A., & Hall W.
(2014). Government As a Social Machine in an Ecosystem.
Proceedings of the 23rd International Conference on World Wide Web. 903–904. |
Political Social Machines |
|
Pagliari, C.
(2014). Patients, Prescribing & Personalised Pharmacy: Innovations and Opportunities.
|
E-Health and Digital Epidemiology |
|
-Administrator, SOCIAM.
(2014). Combatting Corruption with Technology for Sustainable Healthcare.
|
E-Health and Digital Epidemiology |
|
Pagliari, C.
(2014). Global Health in the Digital Age - the power of data and communications for managing infectious, communicable and complex diseases.
|
E-Health and Digital Epidemiology |
|
O'Hara, K.
(2014). Enhancing the Quality of Open Data.
(Floridi, L., & Illari P., Ed.).The Philosophy of Information Quality. 201–215. |
Open Data |
|
Omitola, T., Davies J., Duke A., Glaser H., & Shadbolt N.
(2014). Linking Social, Open, and Enterprise Data.
Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14). 41:1–41:8. |
Open Data |
|
Shadbolt, N.
(2014). Open Innovation and Open Data.
|
Open Data |
|
Ceolin, D., Moreau L., O'Hara K., Fokkink W., Van Hage W. Robert, Maccatrozzo V., et al.
(2014). Two Procedures for Analyzing the Reliability of Open Government Data.
(Laurent, A., Strauss O., Bouchon-Meunier B., & Yager R. R., Ed.).Information Processing and Management of Uncertainty in Knowledge-Based Systems: 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part I. 15–24. |
Open Data |
|
Taylor, J., Osborne M., & Pagliari C.
(2014). An exploratory study into how the clinical condition of diabetes is discussed on Twitter.
Stanford Medicine X. |
The Quantified Patient |
|
Taylor, J., Osborne M., & Pagliari C.
(2014). Applying Systematic Review Methodologies to the Analysis of Data Available on Social Media Sites: An Exploratory Study.
Medicine 2.0. |
The Quantified Patient |
|
Smith, D. A.
(2014). iOS/Android (Cordova) Application for Self-Tracking.
|
The Quantified Patient |
|
Packer, H. S., Buzogany G., Smith D., Dragan L., Van Kleek M., & Shadbolt N.
(2014). The Editable Self: A Workbench for Personal Activity Data.
|
The Quantified Patient |
|
Murray-Rust, D., & Robertson D.
(2014). LSCitter: Building Social Machines by Augmenting Existing Social Networks with Interaction Models.
Proceedings of the 23rd International Conference on World Wide Web. 875–880. |
Lightweight Social Calculus |
|
Murray-Rust, D.
(2014). Building Parasitic Social Machines with LSC.
|
Lightweight Social Calculus |
|
-Administrator, SOCIAM.
(2014). Citizen Science, It's not a Game.
|
Citizen Science Frameworks |
|
Dragan, L., Luczak-Roesch M., Simperl E., Berendt B., & Moreau L.
(2014). Crowdsourcing data citation graphs using provenance.
Provenance Analytics (ProvAnalytics2014). |
Crowdsourcing |
|
O'Hara, K., & Shadbolt N.
(2014). Who guards the guardians?.
Science. 345, 387–387. |
Privacy Theories and Frameworks |
|
O'Hara, K.
(2014). Social machines as an approach to group privacy.
|
Privacy Theories and Frameworks |
|
O'Hara, K.
(2014). Privacy and the internet of things.
|
Privacy Theories and Frameworks |
|
Liccardi, I., Pato J., Weitzner D., Abelson H., & De Roure D.
(2014). No Technical Understanding Required: Helping Users Make Informed Choices About Access to Their Personal Data.
Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. 140–150. |
Privacy Theories and Frameworks |
|
O'Hara, K.
(2014). The Fridge's Brain Sure Ain't the Icebox.
IEEE Internet Computing. 18, 81-84. |
Privacy Theories and Frameworks |
|
Hall, W.
(2014). Linked Data: The Quiet Revolution.
|
Linked Data |
|
Koumenides, C. L., & Shadbolt N.
(2014). Ranking methods for entity-oriented semantic web search.
Journal of the Association for Information Science and Technology. 65, 1091–1106. |
Linked Data |
|
Van Kleek, M.
(2014). Interacting Through Past and Future Social Machines.
|
Motivation and Self-Regulation |
|
O'Hara, K.
(2014). In Worship of an Echo.
IEEE Internet Computing. 18, 79-83. |
Social Machines and Society |
|
O'Hara, K.
(2014). The Information Spring.
IEEE Internet Computing. 18, 79-83. |
Social Machines and Society |
|
Tinati, R., Simperl E., Luczak-Roesch M., Van Kleek M., & Shadbolt N.
(2014). Collective intelligence in citizen science ? a study of performers and talkers.
|
Zooniverse |
|
Luczak-Roesch, M.
(2014). Zooniverse: Through the Observatory.
|
Zooniverse |
|
Tinati, R., Luczak-Roesch M., Simperl E., & Shadbolt N.
(2014). Motivations of Citizen Scientists: A Quantitative Investigation of Forum Participation.
Proceedings of the 2014 ACM Conference on Web Science. 295–296. |
Zooniverse |
|
Luczak-Roesch, M., Tinati R., Simperl E., Van Kleek M., Shadbolt N., & Simpson R.
(2014). Why won't aliens talk to us? Content and community dynamics in online citizen science.
|
Zooniverse |
|
Simpson, R., Page K. R., & De Roure D.
(2014). Zooniverse: Observing the World's Largest Citizen Science Platform.
Proceedings of the 23rd International Conference on World Wide Web. 1049–1054. |
Zooniverse |
|
Tinati, R.
(2014). Zooniverse Information diffusion on Twitter.
|
Zooniverse |
|
De Roure, D.
(2014). The future of scholarly communications.
|
Scholarly Communication |
|
De Roure, D.
(2014). Social Machines Stethoscopes.
|
Scholarly Communication |
|
[Anonymous]
(2014). Digital enlightenment yearbook 2014: social networks and social machines, surveillance and empowerment.
(O'Hara, K., Nguyen M-H. Carolyn, & Haynes P., Ed.). |
Scholarly Communication |
|
Moreau, L., & Lebo T.
(2013). Linking Across Provenance Bundles.
|
Provenance |
|
De Nies, T., Coppens S., Verborgh R., Sande M. Vander, Mannens E., Van de Walle R., et al.
(2013). Easy Access to Provenance: An Essential Step Towards Trust on the Web.
2013 {IEEE} 37th Annual Computer Software and Applications Conference Workshops. |
Provenance |
|
Huynh, T. Dong, & Zednik P. Grothand S.
(2013). PROV Implementation Report.
|
Provenance |
|
Moreau, L., & Groth P.
(2013). PROV-Overview: An Overview of the PROV Family of Documents.
|
Provenance |
|
Moreau, L., & Missier P.
(2013). PROV-N: The Provenance Notation.
|
Provenance |
|
Cheney, J., Missier P., Moreau L., & De Nies T.
(2013). Constraints of the PROV Data Model.
|
Provenance |
|
Moreau, L., & Groth P.
(2013). Provenance: An Introduction to PROV.
|
Provenance |
|
Missier, P., Moreau L., Cheney J., Lebo T., & Soiland-Reyes S.
(2013). PROV-Dictionary: Modeling Provenance for Dictionary Data Structures.
(De Nies, T., & Coppens S., Ed.). |
Provenance |
|
Moreau, L., & Missier P.
(2013). PROV-DM: The PROV Data Model.
|
Provenance |
|
Buneman, P., Kostylev E. V., & Vansummeren S.
(2013). Annotations Are Relative.
Proceedings of the 16th International Conference on Database Theory. 177–188. |
Data Annotation |
|
O'Hara, K.
(2013). Are We Getting Privacy the Wrong Way Round?.
IEEE Internet Computing. 17, 89-92. |
Fairness and Accountability in Data Use |
|
Mireille, H., Kieron O’H., & Michael W.
(2013). Introduction.
Stand Alone. 1–25. |
Decentralised Personal Data |
|
O'Hara, K., Waidner M., & Hildebrandt M.
(2013). Introduction.
|
Decentralised Personal Data |
|
Van Kleek, M., Smith D., Packer H. S., Skinner J., & Shadbolt N.
(2013). Carpé Data: Supporting Serendipitous Data Integration in Personal Information Management.
ACM SIGCHI Conference on Human Factors in Computing Systems (CHI2013). |
Decentralised Personal Data |
|
Van Kleek, M., Smith D. A., Packer H. S., Skinner J., & Shadbolt N.
(2013). Carpe data: supporting serendipitous data integration in personal information management (CHI 2013 Preview Trailer).
CHI'13. |
Decentralised Personal Data |
|
Pattanaphanchai, J., O'Hara K., & Hall W.
(2013). Trustworthiness Criteria for Supporting Users to Assess the Credibility of Web Information.
Proceedings of the 22Nd International Conference on World Wide Web. 1123–1130. |
Trust in Social Machines |
|
Simperl, E.
(2013). Towards a classification framework for social machines.
|
Theoretical Frameworks |
|
Shadbolt, N., Smith D., Simperl E., Van Kleek M., Yang Y., & Hall W.
(2013). Towards a Classification Framework for Social Machines.
Proceedings of the 22Nd International Conference on World Wide Web. 905–912. |
Theoretical Frameworks |
|
Shadbolt, N.
(2013). SOCIAM: The Theory and Practice of Social Machines.
|
Theoretical Frameworks |
|
De Roure, D., Hooper C., Meredith-Lobay M., Page K. R., Tarte S., Cruickshank D., et al.
(2013). Observing social machines part 1.
Proceedings of the 22nd International Conference on World Wide Web - {WWW} {\textquotesingle}13 Companion. |
Social Machine Observatory |
|
Page, K. R., & De Roure D.
(2013). Trajectories through social machines.
|
Social Machine Observatory |
|
Hara, O'K.
(2013). Web Science: Understanding the Emergence of Macro-Level Features on the World Wide Web.
Foundations and Trends® in Web Science. 4, 103–267. |
Web Science |
|
Glaser, H.
(2013). Observing observatories: web observatories should use linked data.
1st International Workshop on Building Web Observatories. |
Web Science |
|
Brown, I., Hall W., & Harris L.
(2013). From search to observation.
WOW2013 Web Observatory Workshop. 1–3. |
Web Science |
|
Tiropanis, T., Hall W., Shadbolt N., De Roure D., Contractor N., & Hendler J.
(2013). The Web Science Observatory.
IEEE Intelligent Systems. 100–104. |
Web Science |
|
O'Hara, K.
(2013). Social Machine Politics Are Here to Stay.
IEEE Internet Computing. 17, 87-90. |
Political Social Machines |
|
O'Hara, K.
(2013). The Many-Headed e-Monster.
IEEE Internet Computing. 17, 88-92. |
Political Social Machines |
|
Van Kleek, M., Smith D., Hall W., & Shadbolt N.
(2013). “The Crowd Keeps Me in Shape”: Social Psychology and the Present and Future of Health Social Machines.
WWW '13 Companion Proceedings of the 22nd International Conference on World Wide Web. |
E-Health and Digital Epidemiology |
|
McLean, S., Sheikh A., Cresswell K., Nurmatov U., Mukherjee M., Hemmi A., et al.
(2013). The Impact of Telehealthcare on the Quality and Safety of Care: A Systematic Overview.
(Lovis, C., Ed.).{PLoS} {ONE}. 8, e71238. |
E-Health and Digital Epidemiology |
|
Van Kleek, M., & Smith D.
(2013). Health social machines - a quick overview for SOCIAM-Soton.
|
E-Health and Digital Epidemiology |
|
Shadbolt, N.
(2013). The Fifth Paradigm: From Open Data to Social Machines.
|
Open Data |
|
O'Hara, K.
(2013). Open data comes to market..
|
Open Data |
|
Ceolin, D., Moreau L., O'Hara K., Schreiber G., Sackley A., Fokkink W., et al.
(2013). Reliability Analyses of Open Government Data.
Proceedings of the 9th International Conference on Uncertainty Reasoning for the Semantic Web - Volume 1073. 34–39. |
Open Data |
|
Davidson, S., McLean C., Treanor S., MORI I., Aitken M., Cunningham-Burley S., et al.
(2013). Public Acceptability of Data Sharing Between the Public, Private and Third Sectors for Research Purposes.
|
Data Safe Havens |
|
Smith, D., Shadbolt N., & Van Kleek M.
(2013). Using Personal Activity Diaries to Enhance Electronic Health Records.
|
The Quantified Patient |
|
Hare, J., Lewis P. H., Acosta M., Weston A., Dupplaw D., Simperl E., et al.
(2013). An investigation of techniques that aim to improve the quality of labels provided by the crowd..
|
Crowdsourcing |
|
Evans, M. Byrne, O'Hara K., Tiropanis T., & Webber C.
(2013). Crime Applications and Social Machines: Crowdsourcing Sensitive Data.
Proceedings of the 22Nd International Conference on World Wide Web. 891–896. |
Crowdsourcing |
|
Acosta, M., Aroyo L., Bernstein A., Lehmann J., Noy N. F., & Simperl E.
(2013). CrowdSem 2013 Crowdsourcing the Semantic Web..
|
Crowdsourcing |
|
Simperl, E., Demartini G., & Acosta M.
(2013). Crowdsourcing for the Semantic Web.
|
Crowdsourcing |
|
Acosta, M., Zaveri A., Simperl E., Kontokostas D., Auer S\""oren., & Lehmann J.
(2013). Crowdsourcing Linked Data Quality Assessment.
Proceedings of the 12th International Semantic Web Conference - Part II. 260–276. |
Crowdsourcing |
|
Zafeiropoulou, A. M., Millard D. E., Webber C., & O'Hara K.
(2013). Unpicking the Privacy Paradox: Can Structuration Theory Help to Explain Location-based Privacy Decisions?.
Proceedings of the 5th Annual ACM Web Science Conference. 463–472. |
Privacy Theories and Frameworks |
|
Zafeiropoulou, A. M., Millard D. E., Webber C., & Hara O'K.
(2013). Unpicking the privacy paradox.
Proceedings of the 5th Annual {ACM} Web Science Conference on - {WebSci} {\textquotesingle}13. |
Privacy Theories and Frameworks |
|
Shadbolt, N., & O'Hara K.
(2013). Linked Data in Government.
IEEE Internet Computing. 17, 72-77. |
Linked Data |
|
Gutiérrez-Basulto, V., Ibañez-García Y., Kontchakov R., & Kostylev E. V.
(2013). Conjunctive Queries with Negation over DL-Lite: A Closer Look.
Proceedings of the 7th International Conference on Web Reasoning and Rule Systems. 109–122. |
Linked Data |
|
Kostylev, E. V., & Reutter J. L.
(2013). Answering Counting Aggregate Queries over Ontologies of the DL-lite Family.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence. 534–540. |
Linked Data |
|
Gianluca, C., & Shadbolt N.
(2013). Linked Nomenclature of Territorial Units for Statistics.
Semantic Web. 4, 251–256. |
Linked Data |
|
Simperl, E., Norton B.., Acosta M., Maleshkova M.., Domingue J.., Mikroyannidis A.., et al.
(2013). Using Linked Data Effectively.
|
Linked Data |
|
De Roure, D.
(2013). Big Data meets Big Social: Social Machines and the Semantic Web.
|
Linked Data |
|
Buneman, P.
(2013). Provenance, Annotation, Archiving and Citation - Why can't we make 'it' work for linked data?.
|
Linked Data |
|
Correndo, G., Shadbolt N., & Hitzler P(ed.).
(2013). Linked nomenclature of territorial units for statistics.
|
Linked Data |
|
Simperl, E., Cuel R.., & Stein M..
(2013). Incentive-Centric Semantic Web Application Engineering.
4. |
Linked Data |
|
Grau, B. Cuenca, Kharlamov E., Kostylev E. V., & Zheleznyakov D.
(2013). Controlled Query Evaluation over OWL 2 RL Ontologies.
Proceedings of the 12th International Semantic Web Conference - Part I. 49–65. |
Linked Data |
|
Berners-Lee, T., & O'Hara K.
(2013). The read–write Linked Data Web.
Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences. 371, |
Linked Data |
|
O'Hara, K.
(2013). Welcome to (and from) the Digital Citizen.
IEEE Internet Computing. 17, 92–95. |
Social Machines and Society |
|
De Roure, D.
(2013). e-Research and the Demise of the Scholarly Article.
|
Scholarly Communication |
|
De Roure, D.
(2013). Social Machines of Science and Scholarship.
|
Scholarly Communication |
|
Martin, U., & Pease A.
(2013). Mathematical practice, crowdsourcing, and social machines.
Conferences on Intelligent Computer Mathematics. Vol. 7961 of Lecture Notes in Computer Science, |
Social Machine of Mathematics |
|
Kostylev, E. V., Reutter J. L., & Salamon A. Z.
(2012). Classification of Annotation Semirings over Query Containment.
Proceedings of the 31st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. 237–248. |
Data Annotation |
|
O'Hara, K.
(2012). Cultural Heritage Getting Social: Trust and Authority in the Crowd.
|
Crowdsourcing |
|
O'Hara, K.
(2012). Transparency, Open Data and Trust in Government.
|
Trust in Social Machines |
|
O'Hara, K.
(2012). Transparency, Open Data and Trust in Government.
|
Open Data |
|
O'Hara, K.
(2012). Trust in social machines: the challenges.
|
Trust in Social Machines |
|
O'Hara, K.
(2012). Data, Trust and Governance.
|
Trust in Social Machines |
|
O'Hara, K.
(2012). Cultural Heritage Getting Social: Trust and Authority in the Crowd.
|
Trust in Social Machines |
|
Tinati, R., & Carr L.
(2012). Understanding Social Machines.
2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing. 975-976. |
Theoretical Frameworks |
|
O'Hara, K.
(2012). Transparency, Open Data and Trust in Government: Shaping the Infosphere.
Proceedings of the 4th Annual ACM Web Science Conference. 223–232. |
Open Data |
|
O'Hara, K.
(2012). Data quality, government data and the open data infosphere.
|
Open Data |
|
O'Hara, K.
(2012). Transparency, Open Data and Trust in Government.
|
Trust in Social Machines |
|
O'Hara, K.
(2012). Transparency, Open Data and Trust in Government.
|
Open Data |
|
Shadbolt, N., O'Hara K., Berners-Lee T., Gibbins N., Glaser H., Hall W., et al.
(2012). Linked Open Government Data: Lessons from Data.gov.uk.
IEEE Intelligent Systems. 27, 16-24. |
Open Data |
|
Sarasua, C., Simperl E., & Noy N. F.
(2012). CrowdMap: Crowdsourcing Ontology Alignment with Microtasks.
(Cudré-Mauroux, P., Heflin J., Sirin E., Tudorache T., Euzenat J., Hauswirth M., et al., Ed.).The Semantic Web – ISWC 2012: 11th International Semantic Web Conference, Boston, MA, USA, November 11-15, 2012, Proceedings, Part I. 525–541. |
Crowdsourcing |
|
O'Hara, K.
(2012). Cultural Heritage Getting Social: Trust and Authority in the Crowd.
|
Trust in Social Machines |
|
O'Hara, K.
(2012). Cultural Heritage Getting Social: Trust and Authority in the Crowd.
|
Crowdsourcing |
|
Correndo, G., Penta A., Gibbins N., & Shadbolt N.
(2012). Statistical Analysis of the owl:sameAs Network for Aligning Concepts in the Linking Open Data Cloud.
(Liddle, S. W., Schewe K-D., A. Tjoa M., & Zhou X., Ed.).Database and Expert Systems Applications: 23rd International Conference, DEXA 2012, Vienna, Austria, September 3-6, 2012. Proceedings, Part II. 215–230. |
Linked Data |
|
Simperl, E.
(2012). Incentives-Driven Technology Design.
|
Motivation and Self-Regulation |
|
De Roure, D.
(2012). End-to-End Semantics: Sensors, Semitones and Social Machines.
|
Musical Social Machines |
|
De Roure, D.
(2012). From SALAMI to Social Machines: Music Information Retrieval as an Exemplar of Digital Research.
|
Musical Social Machines |
|
-Administrator, SOCIAM.
(2010). Crowdsourcing provenance of distributed scholarly contributions - An experiment in the context of USEWOD.
|
Crowdsourcing |
|
Correndo, G., Salvadores M., Millard I., Glaser H., & Shadbolt N.
(2010). SPARQL Query Rewriting for Implementing Data Integration over Linked Data.
|
Linked Data |
|
O'Hara, K., & Stevens D.
(2009). The Devil's Long Tail: Religious Moderation and Extremism on the Web.
IEEE Intelligent Systems. 24, 37-43. |
Political Social Machines |
|
O'Hara, K., & Shadbolt N.
(2008). The Spy in the Coffee Machine: The End of Privacy As We Know It.
|
Privacy Theories and Frameworks |
|
Shadbolt, N., Berners-Lee T., & Hall W.
(2006). The Semantic Web Revisited.
IEEE Intelligent Systems. 21, 96–101. |
Linked Data |
|
O'Hara, K., & Stevens D.
(2006). Inequality.com: Power, Poverty and the Digital Divide.
|
Social Machines and Society |
