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EWS main components

ML-Based Early Warning System

ML-Based Early Warning System is responsible to provide the necessary notifications (warnings and/or alerts) to the end users in case of potential outbreaks taking into consideration certain rules and patterns based on Machine Learning models. Support users in order to identify needs on material resources, while assist authorities to monitor and validate the effectiveness of policies and measures that are applied.
PALMS GUI

Physical Activity Lifelong Modelling & Simulation (PALMS) model

The Physical Activity Lifelong Modelling & Simulation (PALMS) model is an agent-based micro-simulation that predicts the lifelong physical activity behaviour of individuals of a population and its effect on their quality of life.
WN cycle

BIMS_WN West Nile epidemics model. 

The BIMS_WN model is a muti-agent model whose goal is to predict the occurrence of a WN epidemic using climate and bird migration and movement data.
Flee logo

Flee - Predictive Modelling Tool

Flee is an agent-based modelling code used to model (forced) migration and other movements across country borders.
eu Portfolio of Solutions web site has been initially developed in the scope of DRIVER+ project. Today, the service is managed by AIT Austrian Institute of Technology GmbH., for the benefit of the European Management. PoS is endorsed and supported by the Disaster Competence Network Austria (DCNA) as well as by the STAMINA and TeamAware H2020 projects.