As an alternative to searching directly for solutions, you can also search for CM gaps and find out which solutions address the gaps you are interested in.
PDF export![WSMA pipeline](/sites/default/files/public/styles/me/public/2021-01/Social_media_tool_architecture_v0.1.png.jpeg?itok=FMUlX-Df)
Web and Social Media Analytics (WSMA)
Tool for crawling, monitoring and processing of web and social media content and users activity
![Socrates OC UI](/sites/default/files/public/styles/me/public/2018-10/Socrates%2520OC.jpg_0.png.jpeg?itok=uDzSRcD-)
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](/sites/default/files/public/styles/me/public/2021-06/solution-ccnull-Marco-Verch_3.jpg.jpeg?itok=ONcThueo)
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.
![Mixed reality shown in glasses](/sites/default/files/public/styles/me/public/2019-09/augreal.jpg.jpeg?itok=IpKE0T5T)
Mixed Reality Glasses
Using mixed-reality glasses to train, inform and warn the first responders
![Smart Wearable Sensor Device - SmarKo](/sites/default/files/public/styles/me/public/2021-05/smarko-device-transparent.png.jpeg?itok=jp5Qf3HD)
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](/sites/default/files/public/styles/me/public/2021-05/Capture.PNG.jpeg?itok=Fd15jV6u)
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](/sites/default/files/public/styles/me/public/2020-11/PoSP.png.jpeg?itok=9oTfUov-)
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](/sites/default/files/public/styles/me/public/2021-02/Bento.JPG.jpeg?itok=UrDt2bz3)
ESBL detect
Portable PCR device for on site detection of bacteria
![CHARM model](/sites/default/files/public/styles/me/public/2021-05/PoSC.png.jpeg?itok=gSPgRIvi)
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)](/sites/default/files/public/styles/me/public/2021-05/AIR%20architecture.jpg.jpeg?itok=CJUwpjwZ)
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](/sites/default/files/public/styles/me/public/2021-06/wnvt_0.png.jpeg?itok=CyahhYSz)
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](/sites/default/files/public/styles/me/public/2021-05/flee.png.jpeg?itok=qpMDcjJn)
Flee - Predictive Modelling Tool
Flee is an agent-based modelling code used to model (forced) migration and other movements across country borders.
![Proceed Laboratory interface](/sites/default/files/public/styles/me/public/2018-12/Mandra.jpg.jpeg?itok=sXMspaN5)
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](/sites/default/files/public/styles/me/public/2019-09/%231905-3Layer-Concept.png.jpeg?itok=BiPmTBCf)
ARGUS Fire
Forest Fire/Wildfire management solution based on aerial multi-sensorsystem, data processing and resources management
![Gare du Nord - Evacuation](/sites/default/files/public/styles/me/public/2018-11/1%20-%20Gare%20du%20Nord_0.jpg.jpeg?itok=njjl9Rf2)
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.
![System integration via Common Information Space (CIS)](/sites/default/files/public/styles/me/public/2019-07/CIS%20System%20integration%20via%20Common%20Information%20Space.jpg.jpeg?itok=yq-oqst7)
EPISECC CIS
Common Information Space as Enabler for Collaboration in Disaster Management
![Pebble qcLAMP Device](/sites/default/files/public/styles/me/public/2021-05/peeble.jpeg?itok=qfD3ti1G)
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
![GUI](/sites/default/files/public/styles/me/public/2018-10/LifeXCOP0.png.png.jpeg?itok=GjSao9Ws)
LifeX COP
LifeX COP is a web-centric multi-user Solution developed by Frequentis to address the lack of a Common Operational Picture in the field of Crisis Management.
![Figure modified from Hutchings, M., Dev, A., Palaniappan, M., Srinivasan, V., Ramanathan, N., Taylor, J. 2012.“mWASH: Mobile Phone Applications for the Water, Sanitation, and Hygiene Sector.” Pacific Institute, Oakland, California. 114 p.](/sites/default/files/public/styles/me/public/2021-06/water-quality--crowdsourcing.png.jpeg?itok=yobTD1rI)
Crowdsourcing for Water Monitoring
Methodology for crowdsourcing water quality data
![The AirCasting sensor pod and app](/sites/default/files/public/styles/me/public/2021-06/AirCasting-Pod-and-App.jpg.jpeg?itok=I2G-gg8M)
Air Sensor Toolbox
Air sensor monitors that are lower in cost, portable and generally easier to operate.
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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. |