CORDIS
EU research results

CORDIS

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Bringing CItizens, Models and Data together in Participatory, Interactive SociaL EXploratories

Project information

Grant agreement ID: 641191

  • Start date

    1 January 2015

  • End date

    31 December 2017

Funded under:

H2020-EU.1.2.2.

  • Overall budget:

    € 4 206 875

  • EU contribution

    € 3 450 625

Coordinated by:

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH

Germany

Objective

We propose visionary research to develop modeling, computational, and ICT tools needed to predict and influence disease spread and other contagion phenomena in complex social systems. To achieve non-incremental advances we will combine large scale, realistic, data-driven models with participatory data-collection and advanced methods for Big Data analysis. In particular we will go beyond the one-dimensional focus of current approaches tackling one aspect of the problem at a time. We will interconnect contagion progression (e.g. epidemics) with social adaptation, the economic impact and other systemic aspects that will finally allow a complete analysis of the inherent systemic risk. We will develop models dealing with multiple time and length scales simultaneously, leading to the definition of new, layered computational approaches. Towards policy impact and social response we will work to close the loop between models, data, behavior and perception and develop new concepts for the explanation, visualization and interaction with data and models both on individual and on collective level. We will cast the fundamental advances into an integrated system building on widely accepted open ICT technologies that will be used and useful beyond the project. As a tangible ICT outcome directed at facilitating the uptake and impact of the project, we will implement “Interactive Social Exploratories” defined as interactive environments which act as a front-end to a set of parameterizable and adjustable models, data analysis techniques, visualization methods and data collection frameworks. In summary, we aim to (1) produce fundamental theoretical, methodological and technological advances (2) mold them into a broadly usable ICT platform that will be a catalyst for producing, delivering, and embedding scientific evidence into the policy and societal processes and (3) evaluate the system empirically with policy makers and citizens focusing on the concrete problem of epidemic spreading.

Coordinator

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH

Address

Trippstadter Strasse 122
67663 Kaiserslautern

Germany

Activity type

Research Organisations

EU Contribution

€ 798 750

Participants (7)

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH

Switzerland

UNIVERSITAET STUTTGART

Germany

EU Contribution

€ 577 625

UNIVERSITY COLLEGE LONDON

United Kingdom

EU Contribution

€ 360 000

KOZEP-EUROPAI EGYETEM

Hungary

EU Contribution

€ 323 000

ISTITUTO PER L'INTERSCAMBIO SCIENTIFICO

Italy

EU Contribution

€ 540 000

CONSIGLIO NAZIONALE DELLE RICERCHE

Italy

EU Contribution

€ 652 500

FONDAZIONE BRUNO KESSLER

Italy

EU Contribution

€ 198 750

Project information

Grant agreement ID: 641191

  • Start date

    1 January 2015

  • End date

    31 December 2017

Funded under:

H2020-EU.1.2.2.

  • Overall budget:

    € 4 206 875

  • EU contribution

    € 3 450 625

Coordinated by:

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH

Germany