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Start date:
Apr 2015
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End date:
May 2017
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Contact:
Principal Investigator
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Funder:
European Commission
In this project we evaluate Human-Machine Networks by focusing on two cases of peer-production in Wikipedia and citizen science projects in Zooniverse by applying quantitative methods to transactional big data.
Overview
Increasingly, activities in work and social life are conducted within human-machine networks, where collaboration involves many different actors; governments and organisations, individuals and machines such as smart devices, sensors and computing infrastructure. The targets of these networks can be for policy making, commercial innovation, education, improved quality of life, and information exchange or resource organisation. As networks become more complex and include more connections between humans and machines, so the characteristics of those networks become important in determining the effectiveness and successful evolution of the collaborations which they support. Emerging challenges are: understanding the processes necessary for developing and maintaining human-machine networks such that they are able to deliver their intended outcomes; and applying this knowledge to support emerging networks in public, commercial and civil domains to more readily achieve key European goals. In HUMANE we will develop a typology of human-machine networks focused on characteristics of relationships between networked humans and machines such as trust, motivation, reputation, responsibility, privacy and security. We will consider health indicators for networks and create prototype tools that can be exploited through a community of stakeholders to create and enrich human-machine networks. We will propose a roadmap and methodology for the evolution of such networks, appropriate to the needs of ICT developers, building on in-depth case studies taken from R&I projects relevant to the societal DAE pillars to form a supporting framework for future thinking and ICT policy-making in Europe. The project partners in HUMANE have wide and complementary experience in social sciences and ICT R&I, essential for bridging the technological, societal, industrial and human-centric components necessary to achieve improved understanding of emerging hyper-connected human-machine networks.
Support
This project is funded by the European Commission Horizon 2020 – Research and Innovation Framework Programme.
Latest blog posts
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HUMANE Workshop, Wrap-up
Date Published: 2 April 2017 - 2:08 pm
Authors: Taha Yasseri
On 21st of March, we hold the HUMANE Intentional Workshop in Oxford. We had some 50+ participants from across different sectors; academia, industry, and public sectors, ...
Read More HUMANE Workshop, Wrap-up -
Edit wars! Examining networks of negative social interaction
Date Published: 4 November 2016 - 10:05 am
Authors: Taha Yasseri
Network of all reverts done in the English language Wikipedia within one day (January 15, 2010). Read the full article for details. While network ...
Read More Edit wars! Examining networks of negative social interaction
People
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Dr Taha Yasseri
Oxford Internet Institute, University of Oxford
Principal Investigator
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Dr Milena Tsvetkova
Oxford Internet Institute, University of Oxford
Researcher
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Dr Ruth Olimpia García Gavilanes
Oxford Internet Institute, University of Oxford
Researcher
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Professor Eric T. Meyer
Oxford Internet Institute, University of Oxford
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Bill Mulligan
Oxford Internet Institute, University of Oxford
Research Assistant
Events
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THE HUMAN-MACHINE NETWORKS INTERNATIONAL WORKSHOP
21 March 2017, 09:30 - 17:00
THE HUMAN-MACHINE NETWORKS INTERNATIONAL WORKSHOP: Organized by the HUMANE project: creating a typology, method and roadmap for HUman-MAchine NEtworks
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Wikipedia 15th Birthday Editathon: The Social Internet
15 January 2016, 12:00:00 - 18:00:00
On Friday 15 January 2016 Wikipedia will celebrate its fifteenth birthday and we are celebrating by having a Wikipedia editathon!
Videos
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What Happens After You Both Swipe Right: A Statistical Description of Mobile Dating Communications
Duration: 00:27:18
Date: 18 October 2016
Our personal and social daily activities produce an unprecedented amount of data: Taha Yasseri is interested in developing mechanistic ... Read More What Happens After You Both Swipe Right: A Statistical Description of Mobile Dating Communications
News
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Public interest in plane crashes only predicted ‘if death toll is 50 or higher’
14 October 2016
English Wikipedia continues to be shaped by things that matter to Westerners, with little reference to the rest of the world outside of North America and Europe.
Blog
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HUMANE Workshop, Wrap-up
Date Published: 2 April 2017 - 2:08 pm
Authors: Taha Yasseri
On 21st of March, we hold the HUMANE Intentional Workshop in Oxford. We had some 50+ participants from across different sectors; academia, industry, and public sectors, ...
Read More HUMANE Workshop, Wrap-up -
Edit wars! Examining networks of negative social interaction
Date Published: 4 November 2016 - 10:05 am
Authors: Taha Yasseri
Network of all reverts done in the English language Wikipedia within one day (January 15, 2010). Read the full article for details. While network ...
Read More Edit wars! Examining networks of negative social interaction
Press
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Plane crashes: public only interested if toll 50 or higher, study finds
Date Published: 12 October 2016
Source: The Guardian
Researchers at the Oxford Internet Institute examine Wikipedia articles about some 1,500 crashes around the world.
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The Wikipedia bots that are engaged in spats that never end
Date Published: 21 September 2016
Source: New Scientist
Wikipedia editors sometimes use bots to help them keep on top of changes that users have made to the online encyclopedia. But sometimes two editors will task different bots with making incompatible edits.
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Bots are waging passive-aggressive war on Wikipedia
Date Published: 21 September 2016
Source: TechCrunch
Bots are a useful tool on Wikipedia: they identify and undo vandalism, add links and perform other tedious tasks. But even these automated helpers come into conflict, reverting and re-reverting each other on the same topic, sometimes for years.
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Indefatigable WikiBots keep Wikipedia battles going long after humans give up and go home
Date Published: 21 September 2016
Source: The Register
A group of researchers from Oxford University and the Alan Turing Institute in London say once Wikipedia bots get into a disagreement, they spend years reverting each others' edits.
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The Growing Problem of Bots That Fight Online
Date Published: 20 September 2016
Source: MIT Technology Review
The way software agents interact on the Web is poorly understood. Now evidence shows that they fight each other for years.