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AIR Worldwide

AIR's Life and Health Models

AIR models help to anticipate the drivers of mortality and morbidity risk to facilitate optimal risk management, risk transfer, and risk mitigation decisions that align with organisation's strategic goals.
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.
mHero

mHero

a two-way, mobile phone-based communication system that uses basic text messaging, or SMS, to connect ministries of health and health workers. mHero operates on simple talk-and-text mobile devices—no smartphone or tablet required.
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.
Portable PCR device for on site detection of pathogens

ESBL detect

Portable PCR device for on site detection of bacteria
AIR models architecture (both Single Task Learning and Multi-Task Learning)

Antimicrobial Resistance Model (AIR)

AIR is a Deep Neural Network (DNN) model used for predicting the excess mortality due to antimicrobial resistance. Additionally, it incorporates patient’s contextual epidemiological and infectious information.
The Information Protection and Secure Data Sharing Tool Architecture

Information Protection and Secure Data Sharing Blockchain Tool

An access control policy management framework implemented by capitalizing on the Blockchain technology
Illustration of the HybridDetect DipStick result obtained for SARS-CoV-2. In a negative sample only the control line is visual. In a positive sample both the control and specifically the test line will become visible. A positive sample can thus result in a Dipstick result that shows 2 lines (control and test line, see illustration) or one line (only the test line).

SARS-Cov-2 and Escherichia coli (E. coli) ESBL detection with SHERLOCK/DETECTR

Rapid detection of SARS-Cov-2 and E. coli (ESBL) via the utilisation of a portable SHERLOCK/DETECTR approach.
Proceed Laboratory interface

PROCeed Laboratory

PROCeed Laboratory supports decision makers in choosing the best solutions by simulating the consequences of decisions and events that are based on predefined cause-effect rules.
Forest Fire/Wildfire have specific requirements on the Disaster Management Solutions

ARGUS Fire

Forest Fire/Wildfire management solution based on aerial multi-sensorsystem, data processing and resources management
Water-Gate© in action to contain a stormy river

Emergency flood protection for cities | Water-Gate© Flexible dams

Prevent flooding in all circumstances. Water-Gate© is a flexible emergency flood dam that harnesses the power of floodwater or firewater to automatically fill, unfold and stabilise itself.
other

Debris Tool

The Debris Tool is a software based solution designed to amalgamate various defined inputs from the field, historic survey data and other sources, for the prediction and modelling of waste and debris removal options in a post-crisis environment.
Gare du Nord - Evacuation

SE-Star : THALES Crowd Simulation

Since 2008, inside Data Science & Artificial Intelligence Labs of THALES, a Crowd Simulation engine, called SE-Star, has been designed. It is a life simulator managing: internal variables, motivations & emotions, stimuli, personality and behaviors.
project infographic

I-REACT

Due to climate change, floods, wildfires and other extreme weather events are becoming more frequent and intense. This scenario poses a challenge for current risk management systems.
Information elements to analyse Disasters

EPISECC Inventory

The EPISECC Inventory is designed for the analysis of the management of selected past disasters with specific focus on interoperability and efficiency
System integration via Common Information Space (CIS)

EPISECC CIS

Common Information Space as Enabler for Collaboration in Disaster Management
Array of components of DMF

Influenza A (H1N1) on-site detection (POCT)

On-site detection of Influenza A (H1N1) with a portable qPCR device (POC)
Pebble qcLAMP Device

Real-time detection of Measles, West Nile Virus and SARS-Cov-2

Genetic markers allowing real time point-of-service detection of Measles, West Nile Virus and SARS-Cov-2 via the utilization of a portable qcLAMP device
GDACSmobile device view

GDACSmobile

GDACSmobile is a support platform for collecting and sharing situational awareness information. It aims to serve two main target groups with different rights and roles: people concerned with disaster relief and the (affected) population itself.
MDA command and control in Trial 2

MDA command and Control system

MDA C4I system allows for efficient, real time response to tasks on the field (e.g. people in need for medical assistance), by allocating the site, allocating the resources needed and available, tasking the resources and following up the acomplishment.
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.