SIBER-RISK (called by the initials of SImulation Based Earthquake Risk and Resilience of Interdependent Systems and NetworKs) is a project led by professor Juan Carlos de la Llera and co-investigators Paula Aguirre and Gabriel Candia, and funded by Fondecyt grant #1170836. The project started in April 2017 and it aims to investigate, develop, and implement a conceptual framework to evaluate earthquake vulnerability, risk and resilience of geographically Distributed Network Systems (DNS).

The four-year long SIBER-RISK project is designed in a format of work packages. It considers a total of six work packages (WP), four major research packages, plus two additional management oriented WPs, one aimed to a significant program of research outreach-dissemination activities, and the other to the effective management and reporting of the project.

The four thematic research WPs of SIBER-RISK and the two reporting WPs are:

  • WP1: Seismic hazard and risk assessment of spatially distributed systems.
  • WP2: Vulnerability, risk, and resilience evaluation of physical Distributed Network Systems (DNS).
  • WP3: Graphical model synthesis of interdependent net-works for risk and resilience analysis.
  • WP4: The problem of two-cities: seismic risk and resilience of DNS at urban scale.
  • WP5: Outreach and dissemination of research activities.
  • WP6: Project management and reporting.

This project is connected directly with the National Research Center for Integrated Natural Disaster Management CIGIDEN, which mission is to guide the discussions and decisions that must be taken in the face of disasters, through scientific and technical evidence, to help implement improvements that increase the resilience of the country. Additionally, several collaborations have arisen with different institutions: University College of London (UCL), Universidad Autónoma de México (UNAM).

SIBER-RISK will support the development of a rather new field of research in earthquake engineering, which results will become essential in the years to come to policy and decision makers. Further, the results of this project will advance knowledge on the topic of vulnerability, risk, and resilience of DNS, and will provide a relevant substrate of information that could be used to perform similar analyses in other earthquake prone places in Chile and elsewhere in the world. These results will also contribute to deepen our understanding of the effects of interdependency of systems and networks, and how cascading effects may occur and propagate across systems. Specifically, the new graphical and physical network models developed will prove useful to utility companies, public transportation systems, and public healthcare systems to assess their current risks and earthquake resilience, and to evaluate the effects of several possible prevention and mitigation measures.