Explore the words cloud of the HUMANE project. It provides you a very rough idea of what is the project "HUMANE" about.
The following table provides information about the project.
|Coordinator Country||Norway [NO]|
|Total cost||1˙383˙021 €|
|EC max contribution||1˙383˙021 € (100%)|
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
|Duration (year-month-day)||from 2015-04-01 to 2017-05-31|
Take a look of project's partnership.
|1||STIFTELSEN SINTEF||NO (TRONDHEIM)||coordinator||561˙500.00|
|2||THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD||UK (OXFORD)||participant||308˙985.00|
|3||UNIVERSITY OF SOUTHAMPTON||UK (SOUTHAMPTON)||participant||287˙536.00|
|4||ATHENS TECHNOLOGY CENTER ANONYMI BIOMICHANIKI EMPORIKI KAI TECHNIKI ETAIREIA EFARMOGON YPSILIS TECHNOLOGIAS||EL (ATHINA)||participant||225˙000.00|
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, 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.
|The HUMANE typology and method||Documents, reports||2019-07-23 10:39:06|
|Typology-driven modelling and validation of design options||Documents, reports||2019-07-23 10:39:06|
|Roadmap of future human-machine networks||Documents, reports||2019-07-23 10:39:06|
|Typology and method v1||Documents, reports||2019-07-23 10:39:06|
|HUMANE open research data||Open Research Data Pilot||2019-07-23 10:39:06|
|Survey of users\' need results||Documents, reports||2019-07-23 10:39:06|
|Data management plan||Documents, reports||2019-07-23 10:39:06|
|Final roadmap of future human-machine networks||Documents, reports||2019-07-23 10:39:06|
|Public project report||Documents, reports||2019-07-23 10:39:06|
|Online platform||Websites, patent fillings, videos etc.||2019-07-23 10:39:06|
|A compendium of ongoing results||Websites, patent fillings, videos etc.||2019-07-23 10:39:06|
|Typology and method v2||Documents, reports||2019-07-23 10:39:05|
|Report on implications of future thinking||Documents, reports||2019-07-23 10:39:05|
|Final overall report of dissemination and exploitation||Documents, reports||2019-07-23 10:39:05|
|Deliverable of Systematic literature review||Documents, reports||2019-07-23 10:39:06|
|Dissemination and communication plan||Documents, reports||2019-07-23 10:39:05|
Take a look to the deliverables list in detail: detailed list of HUMANE deliverables.
|year||authors and title||journal||last update|
Innovating with users online? How network-characteristics affect collaboration for innovation
published pages: , ISSN: 1894-5562, DOI: 10.5617/jmi.v3i1.2709
|The Journal of Media Innovations||2019-07-23|
Csilla Rudas, OlivÃ©r SurÃ¡nyi, Taha Yasseri, JÃ¡nos TÃ¶rÃ¶k
Understanding and coping with extremism in an online collaborative environment
published pages: , ISSN: 1932-6203, DOI: 10.1371/journal.pone.0173561
AsbjÃ¸rn FÃ¸lstad, Vegard Engen, Ida Maria Haugstveit, Brian Pickering
Automation in Human-Machine Networks: How Increasing Machine Agency Affects Human Agency
published pages: , ISSN: , DOI:
|Proceedings of the International Conference on Man-Machine Interaction 2017||2019-07-23|
Milena Tsvetkova, Ruth GarcÃa-Gavilanes, Luciano Floridi, Taha Yasser
Even good bots fight: The case of Wikipedia
published pages: , ISSN: 1932-6203, DOI: 10.1371/journal.pone.0171774
J. Brian Pickering, Vegard Engen, Paul Walland
The Interplay between Human and Machine Agency
published pages: , ISSN: , DOI:
|Proceedings of HCI International 2017||2019-07-23|
Milena Tsvetkova, Taha Yasseri, Eric T. Meyer, J. Brian Pickering, Vegard Engen, Paul Walland, Marika LÃ¼ders, AsbjÃ¸rn FÃ¸lstad, George Bravos
Understanding Human-Machine Networks: A Cross-Disciplinary Survey
published pages: , ISSN: 1557-7341, DOI: 10.1145/3039868
|ACM Computing Surveys||2019-07-23|
Mennesker og maskiner
published pages: 1-7, ISSN: 0805-9535, DOI:
|Norsk Medietidsskrift 22(3)||2019-07-23|
Milena Tsvetkova, Ruth GarcÃa-Gavilanes, Taha Yasseri
Dynamics of Disagreement: Large-Scale Temporal Network Analysis Reveals Negative Interactions in Online Collaboration
published pages: , ISSN: 2045-2322, DOI: 10.1038/srep36333
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The information about "HUMANE" are provided by the European Opendata Portal: CORDIS opendata.
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