Models, Tools, and Data

The RISK Program uses a variety of models, as well as games and IIASA-branded participatory stakeholder processes to conduct its research.

Models

The Binary constrained Disaster (BinD) model

The BinD model is a new generation dynamic disaster-macroeconomic modeling framework that captures supply and demand-side constraints on a developing economy facing disaster risk. More

CATSIM

A modeling approach to improve financial disaster risk management More

CATSIM - Inter-industry Impact Assessment

The Inter-industry Impact Assessment model is a variation of the CATSIM model and used by the Risk and Resilience Program to help understand the effects of natural disasters. More

CATSIM - Stochastic Debt Assessment

The model is currently being applied in Austria to assess flood and drought risk under climate change. The CATSIM Stochastic Debt Assessment has been applied in the assessment of flood risk in 28 EU countries. More

DYNAMMICs

The DYNAMMICs is a macroeconomic growth modeling framework that quantifies the many co-benefits of DRR investment for multiple hazards. More

Participatory decision support for complex policy issues

The Risk and Resilience program has developed a number of decision-support and process-oriented methods. These tools help stakeholders and policy-makers make sense of the complex governance landscape, while clarifying trade-offs and synergies associated with alternative policy options.  More

SHELscape

SHELscape is a spatially-explicit agent-based model for understanding short-run post-natural disasters non-linear adjustment processes in a multi-market framework. More




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Last edited: 20 February 2019

CONTACT DETAILS

Joanne Linnerooth-Bayer

Acting Program Director

Risk and Resilience

YSSP Dean

Young Scientists Summer Program

T +43(0) 2236 807 308

Reinhard Mechler

Deputy Program Director

Risk and Resilience

T +43(0) 2236 807 313

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313