Κοινωνία της Πληροφορίας Μ.Α.Ε. – Κ.Τ.Π. Μ.Α.Ε.

PROJECTS

“National Early Warning System using Artificial Intelligence”, Subproject 2 of the project “National Database: Integrated Information System for Risk Management and Prevention”

KTP ERGA HEADER 1
ktp photo 7
DEVELOPER
Ministry of Climate Crisis and Civil Protection
PROJECT OPERATOR
Ministry of Climate Crisis and Civil Protection
BUDGET
21,660,000.00 € (exclusive of VAT)
DEADLINE
July 16 2024
Financial Source
European Investment Bank (EIB)
What is the object of the project?

According to the strategic plan of the YCRP for the application of modern technologies in its field of activity, the main objective is to exploit new technologies and artificial intelligence to enhance its capabilities in each sector, with particular emphasis on prevention, preparedness and early warning. To this end, the Ministry will implement a holistic operational system that will exploit all the existing and new systems available under two main operational pillars:

  1. National Crisis Management and Prevention System
  2. National Early Warning System
What are the purpose and objectives of the project?

The proposed action aims at designing and implementing the appropriate digital infrastructure for data collection and processing and the creation of a central intelligent Digital Control Tower using advanced analytics. The Digital Control Tower will help prevent crises by enabling operational decisions. In the context of utilizing advanced technologies and digitization, the development of the Control Tower as an intelligent Crisis Prevention and Response System within the framework of the responsibilities of the General Secretariat for Civil Protection will upgrade the risk assessment capability and improve the disaster response time.

What are the expected benefits of the project?

The development of applications and diagnosis systems to address natural and man-made hazards and disasters requires the collection and management of data, even in real time, combined with the establishment of appropriate preventive monitoring indicators, statistical analyses, key performance indicators, as well as the development of digital twins and the visualization of interactive business intelligence reports, reinforcing research and innovation.

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