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HUMANE: a typology, method and roadmap for HUman-MAchine NEtworks


Roadmap of future human-machine networks

A first version of the roadmap derived from the first outcomes of the project results.

Public project report

Public reports, summarising all achievements and work performed.

Deliverable of Systematic literature review

Document with the conclusions and overall analysis including transversal patterns of human-machine network, identifying the key dimensions and recommendations to create resilient prototypes of human-machine networks.

Typology-driven modelling and validation of design options

Report on the implementation of core simulation model and results from specific models run for selected case studies.

Data management plan

This deliverable will describe how HUMANE will organize dissemination of work, results, data and publications to meet the Open Research Data requirements. This includes a description of the data management life cycle for all data sets that will be collected. The DMP will be updated throughout the project-period.

The HUMANE typology and method

This report will provide the final version of the typology with archetypical human-machine networks mapped in terms of characteristic dimensions and fully-fledged and resource-efficient methodology.

Typology and method v1

This report will sketch prototypical human-machine networks with an emphasis on demonstrating how these can be applied as guidance for an initial context-analysis and the particular concerns needed to be taken to adapt an envisioned or existing service to the human-machine network(s) in question. It will include a framework for interaction and collaboration.

Final roadmap of future human-machine networks

The final roadmap on future human-machine networks derived from the final project outcomes and also the user survey results.

Typology and method v2

This report will provide a refined version of the typology and a comprehensive methodological approach supporting context analysis, human-machine network requirements, design patterns and analytical method.

Survey of users' need results

A dedicated online survey of practitioners.

Report on implications of future thinking

A first version of the roadmap derived from the first outcomes of the project results.

Dissemination and communication plan

Describing main activities to ensure dissemination and communication of HUMANE results to target-groups.

Final overall report of dissemination and exploitation

Dissemination compendium including the main outcomes, achievements, and stakeholders involved during the event.

Online platform

An institutional website with the repository of key resources elaborated during the different WPs.

A compendium of ongoing results

Newsletter/live blogging and a report on social media outreach and visibility will be provided. The report will offer an accountability of the open licenses included to the publication and promotion of resources and deliverables.

HUMANE open research data

This deliverable summarizes the data sets that have been collected in HUMANE with data set descriptions, standards and metadata, data sharing (Zenodo/OpenAIRE) and archiving/preservation.

Searching for OpenAIRE data...


Understanding and coping with extremism in an online collaborative environment

Author(s): Csilla Rudas, Olivér Surányi, Taha Yasseri, János Török
Published in: PLoS ONE, 2017, ISSN 1932-6203
DOI: 10.1371/journal.pone.0173561

Even good bots fight: The case of Wikipedia

Author(s): Milena Tsvetkova, Ruth García-Gavilanes, Luciano Floridi, Taha Yasser
Published in: PLoS ONE, 2017, ISSN 1932-6203
DOI: 10.1371/journal.pone.0171774

Dynamics of Disagreement: Large-Scale Temporal Network Analysis Reveals Negative Interactions in Online Collaboration

Author(s): Milena Tsvetkova, Ruth García-Gavilanes, Taha Yasseri
Published in: Scientific Reports, 2016, ISSN 2045-2322
DOI: 10.1038/srep36333

Innovating with users online? How network-characteristics affect collaboration for innovation

Author(s): Marika Lüders
Published in: The Journal of Media Innovations, 2016, ISSN 1894-5562
DOI: 10.5617/jmi.v3i1.2709

Understanding Human-Machine Networks: A Cross-Disciplinary Survey

Author(s): Milena Tsvetkova, Taha Yasseri, Eric T. Meyer, J. Brian Pickering, Vegard Engen, Paul Walland, Marika Lüders, Asbjørn Følstad, George Bravos
Published in: ACM Computing Surveys, 2017, ISSN 1557-7341
DOI: 10.1145/3039868

uman-Machine Networks: Towards a Typology and Profiling Framework

Author(s): Aslak Wegner Eide, J. Brian Pickering, Taha Yasseri, George Bravos, Asbjørn Følstad, Vegard Engen, Milena Tsvetkova, Eric T. Meyer, Paul Walland, Marika Lüders
Published in: Human-Computer Interaction. Theory, Design, Development and Practice. HCI 2016. Lecture Notes in Computer Science, vol 9731, 2016
DOI: 10.1007/978-3-319-39510-4_2

Machine Agency in Human-Machine Networks; Impacts and Trust Implications

Author(s): Vegard Engen, J. Brian Pickering, Paul Walland
Published in: Human-Computer Interaction. Novel User Experiences. HCI 2016. Lecture Notes in Computer Science, vol 9733, 2016
DOI: 10.1007/978-3-319-39513-5_9

The Interplay between Human and Machine Agency

Author(s): J. Brian Pickering, Vegard Engen, Paul Walland
Published in: Proceedings of HCI International 2017, 2017

Automation in Human-Machine Networks: How Increasing Machine Agency Affects Human Agency

Author(s): Asbjørn Følstad, Vegard Engen, Ida Maria Haugstveit, Brian Pickering
Published in: Proceedings of the International Conference on Man-Machine Interaction 2017, 2017

Mennesker og maskiner

Author(s): Lüders, M.
Published in: Norsk Medietidsskrift, Issue 22(3), 2015, Page(s) 1-7, ISSN 0805-9535