On Thursday, September 23, CIMA and CRI, organised a webinar on Impact-Based Forecasting in Humanitarian Operations. In this webinar dedicated to the transfer of good practices in research into humanitarian operations in hydrometeorological disasters, innovations and good practices in this area are shown to the community of experts.
COVALEX aims to establish a common and extended community of experts on the experience, geographical coverage and diverse sectoral networks in hydrometeorological multi-hazards events. The project is financed by the European Commission through the DG ECHO Union Civil Protection Knowledge Network.
In this webinar dedicated to the transfer of good practices in research into humanitarian operations in hydrometeorological disasters, innovations and good practices in this area are shown to the community of experts.
The webinar was moderated by Davide Miozzo and was attended by 37 participants.
The webinar consisted of 3 parts, in the first part Davide Miozzo welcomes and shows the work he has been doing in the field of weather prediction using AI for CRI and relies on close examples such as the war in Ukraine.
Davide explains that during the war the tool developed by CIMA was used to carry out weather planning in Ukraine, where there were problems with the internet,... and to be used in planning the intervention of humanitarian aid to the population and the vulnerable groups. Allowing with an alert system to foresee that humanitarian aid would be with the necessary equipment for the population, such as in the case of alerts for polar temperatures or floods, always from the point of view of the designer of the artificial intelligence tool.
In the second part of the Webinar Chiara commented on the same case, the intervention of humanitarian aid in the war in Ukraine through the use of an artificial intelligence tool for predicting hydrometeorological disasters but from the point of view of intervention. Chiara commented that the use of the tool developed in collaboration with CIMA was very useful to optimize the help and be more effective in it.
Finally, Jean B, explained his case as a researcher and doctoral student where he adapts CIMA developments more specifically for humanitarian aid, therefore allowing a prediction tool, adapted to hydrometeorological disasters that allows better management of aid humanitarian, more effective, faster, allowing better decision-making and better quality of intervention.
The final conclusion is that tools based on artificial intelligence, provided they are also designed by researchers and field personnel, are very useful in the prediction of hydrometeorological disasters, in the evaluation of risk for the population and especially for that vulnerable population and for planning aid and obtaining the best possible results.
Another conclusion is that it is very convenient to promote doctoral theses in the field of emergencies as long as they are hand in hand between research centers of recognized prestige such as CIMA Foundation and intervention organizations such as CRI.
Community of Valued Experts in Hydro meteorological and Technological Multi-hazards.
