Tool
AgroTutor provides highly specific and timely agricultural recommendations to farmers across Mexico and complements the work of local extension agents. Although most of the benchmarking information provided in the app is specific to Mexico, some of the functionalities can be used anywhere in the world. Give it a try!
Model
Losses from natural and man-made catastrophes are rapidly increasing. The main reason for this is the clustering of people and capital in hazard-prone areas, interdepedencis between economic activities, systemic risks, the creation of new hazard-prone areas. Warming climate is projected to be a driver affecting the frequency of extreme events, such as wildfires and flash floods, as well as the intensity of precipitation, wind speed, etc. The increasing vulnerability of the society calls for new integrated approaches to economic developments and risk management with an explicit emphasis on catastrophes and systemic risks. The integrated spatilly-explicit catastrophe risk modeling and management model (ISCRiMM) is beeing developed at CAT (Cooperation and Transformative Governance) group of the Advancing Systems Analysis (ASA) program at IIASA for spatial and temporal analysis and management of various natural disaster risks and possible chain risks in interdependet systems. This is a GIS-based model which explicitly accounts for the interplay between national and local ex-ante measures, e.g., investment in prevention/mitigation measures (on the part of the public authorities, the citizens and the insurance industry) and ex-post policies for sharing the financial costs after the disaster.