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São Paulo State Civil Defense

Sipremo

Sipremo does natural disaster prediction and monitoring
WSMA pipeline

Web and Social Media Analytics (WSMA)

Tool for crawling, monitoring and processing of web and social media content and users activity
Socrates OC UI

SOCRATES OC

SOCRATES OC enhances analysis and decision-making capabilities by means of an improved shared situational awareness based on relevant information about the operational situation including crisis events, missions and resources.
Placeholder

PROTECT

Using the know-how and expertise acquired during the development of the CECIS tool, the PROTECT application is a web-based alert and notification system for emergency (and early warnings) situations concerning civil protection.
Sign-in page

Preparedness Pandemic Training tool (PPT)

This is a scenario builder tool, in which a trainer is able to create simple or complex training scenarios and execute them in order to perform exercises
CAE GESI-SiTA Classroom setup

CAE GESI-SiTA Classroom Trainer

The CAE GESI-SiTA classroom trainer offers a unique foundation to experience and learn tactical basics at a new level of detail and interactivity.
XVR Crisis Media in use in an emergency management exercise

XVR Crisis Media

With XVR Crisis Media you can train how to manage and monitor communication from news media, social media and internal communication sources in a crisis situation.
Mixed reality shown in glasses

Mixed Reality Glasses

Using mixed-reality glasses to train, inform and warn the first responders
CAE GESI-based exercise image

CAE GESI

CAE GESI provides an environment for emergency managers and their staff to plan, test, and train their response strategies in a safe and controlled environment.
Screenshots of natural disaster scenes

XVR On Scene

XVR On Scene provides 3D virtual reality simulation of an incident scene. Instructors can build any type of incident to educate, train or assess operational and tactical first responders and incident commanders, either individually or in teams.
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.
Smart Wearable Sensor Device - SmarKo

SmarKo Wearable Monitoring Tool

SmarKo, a smart wearble sensor device, that enables remote real time monitoring of health, environmental and physical activity data as well as geolocation and can transmit the measurement data to a mobile app.
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
CHARM model

CHARM dynamiC Hospital wARd Management

dynamiC Hospital wARd Management (CHARM) is a discrete-event simulation (DES) that models dynamic reconfiguration of hospital wards for bed capacity planning facilitating continuation of normal Intensive Care Unit (ICU) operations during disease outbreaks.
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.
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.
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
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.