Future Earth Research School (FERS)
offers a unique opportunity for early-career researchers to meet and collaborate with international experts. Joining an FERS course provides participants with a great chance to share experiences on different multidisciplinary aspects of research while building a fertile ground for innovation and new research pathways.

The advanced knowledge network
FERS is a place where early-career scientists meet, discuss, and share ideas and perspectives from various backgrounds and disciplines. A rare plus is to have different ways of interacting with science processes and developing a systemic approach, vital to understanding and building the path toward a sustainable future.

Are you ready to deal with future challenges?

Sea-level rise, water management, floods and droughts, extreme events, risk management and reduction, the nature/technology gap, big data, equity and justice. Join FERS School to deepen your knowledge and anticipate future global challenges.

Why Joining FERS?

FERS is an international high-level Research School. The training method comprises intensive training with networking and knowledge exchange, setting the stepping stone of professional relations to stay.

New course

AI and Machine Learning for Earth System Modeling and Prediction

Directors: Aneesh Subramanian, William Chapman

Location: Bertinoro, Italy

SUMMER 2026

The Course “AI and Machine Learning for Earth System Modeling and Prediction” aims to explore the forefront of machine learning and artificial intelligence applications in Earth system science. With the exponential growth in climate data and advances in computational methods, this course offers students the opportunity to apply cutting-edge ML techniques to better understand, model, and predict the behavior of the Earth system.

SPRING 2026

The Course “Open Science in Practice for Coastal Ocean Data Analysis and Visualization” aims to explore the practical implementation of Open Science principles through applied coastal ocean model and in situ and satellite observations data analysis and visualization on the cloud. As the quantity of climate-related data continues to grow, the challenge lies not just in understanding and effectively utilising this data, but also in managing and sharing it in a way that supports sustainable scientific research.

This course is organized by CMCC Foundation in the framework of MAGICA Project in collaboration with CoastPredict.

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