Hear from our secondees

Our secondments are more than just professional exchanges—they’re transformative experiences. Here, participants share their journeys, insights, and gratitude for being part of the ClearClimate project. Their words reflect the collaboration, growth, and impact at the heart of our mission.

During my secondment at Wageningen University I developed a framework linking Climate Information Services (CIS) and agroecology, with Sicily as a case study. Collaborating in such a dynamic and interdisciplinary environment enriched my research, allowing me to establish a theoretical framework connecting CIS with regenerative farming practices. A valuable experience to promote climate adaptation and strengthen resilience in Mediterranean regions.

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Valerio Margiotta

CESIE ETS

Starting my research journey in the Netherlands gave me a solid foundation in interdisciplinary approaches to climate services. Having the chance to return home and collaborate with researchers from my region was incredibly meaningful—both personally and professionally. My work focuses on bridging climate services and accessibility, bringing together two very different disciplines that can truly learn from each other. This connection opens new ways of thinking and reaching broader communities. It's been a rewarding path of mutual growth and shared learning.

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Maria Del Pozo

Wageningen University

Through the ClearClimate project and the Marie Skłodowska-Curie scholarship, I spent my secondment at Loughborough University exploring effective ways to communicate Climate Change as a socio-scientific issue to primary school children. Working with Prof. Robert Wilby enriched my research, inspiring innovative educational strategies. This experience led me to develop Our Sustainable Planet, a game promoting awareness and sustainable behaviors.

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Ginevra Passiglia

CESIE ETS

My secondment at Predictia Santander has been very helpful by allowing me to practically apply my theoretical knowledge of climatology and climate research. I have learned how to utilize different machine learning methods to predict climate scenarios, which has greatly enriched my toolset for handling climate data. I have gained invaluable experience while working with my colleagues at Predictia, experience which will be of great importance for kick-starting my early-stage research journey.

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Milan Josić

University of Novi Sad Faculty of Sciences