Projects

Steering Socio-technical Systems (S3)

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S3 is a multipronged project thrusting a major effort to explore societal issues by complex systems, data and computational thinking science, in an integrated framework for mathematical, modelling and computational foundation of socio/econo-technical systems science, with a portfolio of case studies. Socio-Technical Systems (STS) are large-scale physical infrastructures intimately embedded in a dense communication/computing web, whose evolution is determined/driven by humans.

Predictions in STS reckon with limited knowledge of society/human behavior; knowledge accessible only through huge, unorganized data-sets. S3 builds on the ISI expertise for a quantitative approach to STS collective phenomena/systemic risk. Focus on two objectives by collaborative effort based on diverse, interconnected, expertise.

S3 goals are: I. Establishing algorithms and data handling techniques for reality mining human social behavior and contextual/environmental information from a multiplicity of heterogeneous technological proxies; II. Obtaining mechanisms of ‘network thinking’ theoretical analysis of STS collective multi-scale dynamics. Changes observed by such real-time distributed portrait of society, will allow for predictions about future events based on current data.

Funded by  Compagnia di San Paolo