Decision-making support

In this context, the objective of WP3 is to propose some innovative approaches to face the challenge of developing living risk analysis and adaptive risk-based decision making. Risk assessment is generally static, not integrating both real-time monitoring information and the effect of operational decisions.
The challenge is to develop a new living risk analysis & management approach - from information-taking to decision-making - which dynamically integrates monitoring information, propagates uncertainties and includes stakeholders. Based on the "living risk" approach, WP3 aims at developing decision support systems and methodologies for preventive measures or risk/disaster mitigation (#T4), and perform residual risk assessment in post-disaster situations, for medium/long-term recovery with integration of local building cultures (reengineering & reverse engineering, #T11).

Seminars will be the places for innovative methodological collaborations on advanced modeling and decision-making. WP3 will also benefit from analysis and simulation softwares developed within the consortium and available field knowledge & data bases (such as shake-maps or scenarios (#T7), or data provided by AURG on the Grenoble Metropole area), hydro meteorological forecasting systems, or existing simulation platforms. WP3 will benefit from the innovative data processing and modelling approaches in WP2 and will provide tools to be included in the general risk management schemes studied in WP1.

2-year deliverables

  • State of the art on decision making;
  • Specification note of the simulation platform (disaster and mitigation scenarios, studied area: Grenoble basin);
  • Innovative approaches for methodological advances for decision making tools (report);
  • MATLAB simulator design to demonstrate living-risk analysis & mitigation algorithms;

3.5-year deliverables

  • Operational road-maps on studied areas and publications;
  • Full implementation of the developed decision-making algorithms in the simulation platform (studied area: Grenoble basin).