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Research Project
TEMA – Accurate Mapping and Forecasting for Emergency Management
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Advanced Technologies and Tools for Natural Disaster Management (NDM)
Where: international
Where: international
Challenge
Natural disaster management (NDM), such as floods and wildfires, requires advanced tools to interpret and predict complex phenomena in real time. The main challenge is to develop solutions capable of integrating and processing large volumes of heterogeneous data to produce up-to-date semantic maps and reliable real-time forecasts of event evolution.
Approach
Heterogeneous sources of data of extreme events — such as AI-powered edge smart sensors, satellite imagery, and geosocial content (texts, images, videos) — can play a crucial role in advanced emergency management. TEMA project develops cutting-edge technologies for real-time semantic extraction from multiple modalities and heterogeneous data sources, dynamic and semantically annotated mapping of the affected area, forecasting of the phenomenon’s evolution, and automatic response recommendation.
Solution
The TEMA project develops automated tools for accurate semantic mapping and near real-time forecasting of phenomena related to Natural Disaster Management (NDM). The main end-users are Civil Protection Agencies and First Responders. Since the catastrophic events addressed by TEMA affect the entire European territory, the research naturally takes on a transnational dimension, promoting interoperability between EU countries and regions. The NDM-as-a-Service functionality further strengthens this interoperability. ENG is responsible for the architectural design and leads the integration and validation of the technological solution, as well as providing the project’s cloud infrastructure.
The project has received funding from the European Union’s Horizon Europe programme (HORIZON-CL4-2022-DATA-01-01) – Grant Agreement No. 101093003.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. The European Union cannot be held responsible for them.
Results
Enhanced NDM using new digital technologies
Increased accuracy of data analysis algorithms
Impacts
Technologies
Cloud
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An app to encourage sustainable behaviors by promoting the use of public and private transport, as well as private and shared bicycles for commuting.
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Research Project
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A holistic approach based on artificial intelligence tools for monitoring the production and illegal trafficking of drugs.
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Case Study
Towards intelligent and scalable Workforce Management
Together with UKG, a Workforce Management platform was implemented to one of the largest luxury fashion brands to globally improve time tracking, planning, and operational efficiency.
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