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

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.

Field of science

  • /natural sciences/computer and information sciences/data science/big data
  • /natural sciences/computer and information sciences/data science/data analysis

Call for proposal

H2020-FETPROACT-2014
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

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
EU contribution
€ 0
Address
Raemistrasse 101
8092 Zuerich
Activity type
Higher or Secondary Education Establishments
UNIVERSITAET STUTTGART
Germany
EU contribution
€ 577 625
Address
Keplerstrasse 7
70174 Stuttgart
Activity type
Higher or Secondary Education Establishments
UNIVERSITY COLLEGE LONDON
United Kingdom
EU contribution
€ 360 000
Address
Gower Street
WC1E 6BT London
Activity type
Higher or Secondary Education Establishments
KOZEP-EUROPAI EGYETEM
Hungary
EU contribution
€ 323 000
Address
Nador Utca 9
1051 Budapest
Activity type
Higher or Secondary Education Establishments
ISTITUTO PER L'INTERSCAMBIO SCIENTIFICO
Italy
EU contribution
€ 540 000
Address
Via Chisola 5
10126 Torino
Activity type
Research Organisations
CONSIGLIO NAZIONALE DELLE RICERCHE
Italy
EU contribution
€ 652 500
Address
Piazzale Aldo Moro 7
00185 Roma
Activity type
Research Organisations
FONDAZIONE BRUNO KESSLER
Italy
EU contribution
€ 198 750
Address
Via Santa Croce 77
38122 Trento
Activity type
Research Organisations