Project

Current Challenges


In the past two decades, the international disasters database EM-DAT has recorded 7,348 natural disasters resulting in the loss of 1.23 million lives and affecting over 4 billion others. These environmental catastrophes have caused a total of €2.77 trillion in economic damages worldwide, without even including biological or technological disasters.

At present, the field of community resilience management is diverse yet fragmented, as current methods are not readily applicable or measurable. Collaboration for successful practical implementation of an ecosystem of tools in at-risk communities is not currently promoted, and systematic research and development of policies are stalled.

The PANTHEON approach

The PANTHEON consortium will focus on developing a Community-based Digital Ecosystem for Disaster Resilience utilising Smart City Digital Twin (SCDT) technology and other emerging innovations to…

  • ✓ advance the existing risk assessment methods
  • ✓ mitigate potential vulnerabilities
  • ✓ build a strong community disaster resilience foundation

To achieve the above improvements, PANTHEON will provide the following:

A smart city digital twin environment entailing components suitable for simulations, training, and evaluation of the behaviour of sub-systems, threats and the human factor.

An early Detection and Situational awareness environment that can assist authorities with being alert about imminent incidents, even in remote and hazardous locations.

An integrated intelligent subsystem employing collaborative sensing from earth observations and drone technology.

Project Objectives

PANTHEON Disaster – Resilient Communities Model

– Assemble and assess community resilience indicators on a national and local scale

– Take into account the different cultures, vulnerable groups, various kinds of dangers and the five community disaster resilience domains (social, economic, institutional, physical and natural).
Decentralised and Participatory Governance & Tools

– Promote cooperative learning between the research and local communities.

– Enhance the collection of targeted data around risks and multi-variable disastrous events.

– Develop a framework and accompanying tools, adaptable and adoptable by local communities
Intelligence, CM-SCDT Processes and Optimal Disaster Risk Management Operations

– Employ earth observation data, Smart City IoT, insitu, community-generated data and AI technologies.

– Focus on Big Data processing for data cleaning, organising and restructuring; design appropriate and controlled data flow.

– Improve the accuracy of the DT by adding AI/ML with a certain amount of data for training purposes.
Development of a Smart City Digital Twin (SCDT) for Community Disaster Risk Management (DRM)

– Employ relevant emerging technologies for data collection and processing while using intelligence and self-learning features based on community traits, strengths and weaknesses

– Increase reliability with almost real-time data critical to improving disaster management.
Development of a synthetic Environment

– Build a synthetic environment for training purposes by incorporating adequate historical weather and environmental factors for optimal asset assessment and operators’ training.
Data Delivery Scheme and Remote Sensing for Community-based SCDT

– The PANTHEON digital twin-component will utilise community data to generate simulation models that can offer decision-makers predictive information conducive to effective disaster management.
Interactive User Interface for a Holistic Simulation Environment

– Offer more user-interaction modes with a higher level of control and user-friendliness

– Develop and test a robust system that can handle larger amounts of data