Project

CIMPLEX

Bringing Citizens, Models and Data together in Participatory, Interactive Social Exploratories

Bringing Citizens, Models and Data together in Participatory, Interactive Social Exploratories

  • Duration:

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 an important part for the new concepts of simulation and visualization components, the Agents and Simulation Group (ASR) of Prof. Slusallek, also from DFKI, will import their excellence. 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, simulation and 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. 

Partners

  • Eidgenössische Technische Hochschule Zürich/Schweiz
  • Universität Stuttgart/Deutschland
  • University College London/England
  • Central  European University/Ungarn
  • Fondazione Istituto per L’Interscambio Scientifico
  • Consiglio Nazionale delle Ricerche
  • Fondazione Bruno Kessler

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Contact Person
Prof. Dr.-Ing. Philipp Slusallek
Prof. Dr.-Ing. Philipp Slusallek

Publications about the project

Marco Hirsch, Olivia Woolley-Meza, Daniela Paolotti, Antoine Flahault, Paul Lukowicz

In: Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2018) October 9-11 Singapore Singapore ACM 2018.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz