Our Vision

Advancing climate resilience through cutting-edge AI and Earth System Sciences.

The MeDiTwin project envisions a pioneering approach to understanding and predicting climate extremes in the Mediterranean. By developing the first Mediterranean Digital Twin (MDT), we aim to create a powerful tool that combines AI-driven Earth Observation (AI4EO) with Earth System Sciences to model and forecast climate events with unprecedented accuracy. This model will deepen our knowledge of climate dynamics, equipping communities and policymakers to respond to a rapidly changing climate.

Our project fosters a multidisciplinary approach that merges innovative technology, Earth system science, and advanced AI tools, positioning NTUA as a leader in climate resilience research in the Mediterranean and Europe in general.

We will elevate NTUA into a leading international research hub for AI in Earth System Sciences.

Our project fosters a multidisciplinary approach that merges innovative technology, Earth system science, and advanced AI tools, positioning NTUA as a leader in climate resilience research in the Mediterranean and Europe in general.

Strategic Objectives

Promote Excellence in AI4EO Research

Scale NTUA’s research capacity in AI for Earth Observation through a robust, interdisciplinary capacity-building program (i.e. , training sessions, knowledge exchange, secondments between partners).

Strengthen Research and Innovation Management

Enhance NTUA’s project management, innovation, and outreach abilities, boosting administrative and research potential.

Develop the Mediterranean Digital Twin

Create the first-of-its-kind digital model for the Mediterranean region, specifically designed to forecast climate extremes and their impacts.

Advance Climate Extreme Prediction

Conduct targeted research to improve our ability to predict and respond to climate extremes in the Mediterranean.

Build International Research Networks

Raise NTUA’s research profile by joining leading European AI4EO networks and fostering collaboration with top-tier institutions.

Ensure Long-Term Research Excellence

Develop a roadmap for sustaining NTUA’s research excellence, securing a lasting impact on Earth system science and climate adaptation research.

Our Approach

The MeDiTwin project takes a multidisciplinary, collaborative approach to tackle climate extremes in the Mediterranean.

MeDiTwin, harnesses the global scientific leadership of advanced partners in AI for Earth Observation, emphasizing physics-guided ML, explainable AI, and causality. It prioritizes an extensive capacity-building agenda, aiming to enhance research capacity and elevate the international standing of NTUA’s School of Surveying Engineering and Geoinformatics. This collaboration centers on the development and utilization of the proposed Mediterranean Digital Twin (MDT), a research asset that promises to deepen our understanding of Earth’s processes, especially in the context of the climate emergency. Our commitment is demonstrated through an innovative research project focused on modeling climate extremes and impacts in the Mediterranean, addressing crucial global challenges related to climate change.

Key Milestones and Activities

By November 2025

MDT Prototype Development

The first major milestone is the delivery of the MDT prototype, integrating data, models, and software tools. This will serve as the foundation for our climate extreme forecasting capabilities.

Summer School 

A dedicated Summer School will be held to provide hands-on training in AI for Earth Observation.

Causal Graphs of Climate Extremes

Our team will create causal graphs to understand the relationships between climate extremes in the Mediterranean, like droughts, wildfires, and floods, offering new insights into the connections between these events.

By November 2026

Climate Extremes Observatory Network

A Mediterranean-wide observatory network will be launched to monitor and analyse climate extremes.

Summer MDT Collaborative Research Hub

By M27, a collaborative research hub will be established to allow researchers and institutions to access the MDT and contribute to its ongoing development.

Machine Learning Models for Climate Extremes

Throughout the project, we will develop machine learning models that predict climate extremes and their cascading impacts. These models will be integrated into the MDT for improved forecasting and understanding.

Learn more about Digital Twins

Learn more about Climate extremes

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