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Course Overview
Hours: 34h
Registration fee: Waived (scholarship-covered)
No. participants: 20 (early-career professionals and researchers)
Application deadline: March 8, 2026
Course language: English
This intensive, week-long training offers 20 students and early-career professionals and researchers a hands-on introduction to 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.
The program is highly practice-oriented and designed to show how Open Science concepts can be operationalized via cloud-native workflows tailored to participants’ own research datasets.
The course places a strong emphasis on Open Science practices and the FAIR principles, guiding participants in the development of reproducible, well-documented, and shareable research outputs. Using Jupyter notebooks and open-source tools, attendees will learn how to structure transparent and collaborative workflows that support data sharing, version control, and long-term reusability, in line with international best practices for sustainable scientific research.
The course is organized in collaboration with CoastPredict, the Programme endorsed by the UN Ocean Decade, affiliated with UNESCO-IOC’s Global Ocean Observing System GOOS.
By the end of the week, participants will have gained practical experience in cloud-based coastal ocean models and observations data analysis and visualization within an Open Science framework, together with a solid understanding of FAIR data management, reproducibility, and the integration of Open Science principles into their everyday research workflows.
Course structure
The course combines lectures and hands-on sessions. The main topics include:
1. Open Science and FAIR Principles.
2. Overview of the UN Decade CoastPredict Programme and its implementation framework, GlobalCoast - an example of Open Science-driven international collaboration
3. The Pangeo ecosystem, highlighting community-based tools for scalable and reproducible data analysis.
4. Key technologies and tools for open data access, management, analysis, and visualization.
A final session will be dedicated to the presentation of participants’ assignments, fostering open discussion on results and lessons learned.
Learning Objectives
Moving beyond theoretical concepts, participants will:
1. Develop reproducible workflows for running numerical models.
2. Optimize and manage large-scale datasets following FAIR principles.
3. Leverage open-source tools for transparent analysis and visualization.
4. Apply Open Science best practices throughout their research activities.
Faculty
- Giulia Galluccio, CMCC Foundation
- Paola Nassisi, CMCC Foundation
- Francesco Trotta, CMCC Foundation
Requirements to participate in the course
- Foundational knowledge of Open Science practices and FAIR principles.
- Basic knowledge of Python and experience in climate/ocean data management and analysis.
- Suitable for individuals in advanced education or at an early stage of a research or professional career.
Applications
Applications are open, apply here: Application form.
After the application deadline, all applications will be reviewed and a selection made. The selection committee’s decision is final. The School is unable to provide individual feedback on the selection outcomes.
Logistics
Location
The course will take place at the University Residential Center of Bertinoro (CE.U.B.).
Bertinoro is halfway between the cities of Forlì and Cesena, 6 km from SS9 (Via Emilia). Forlì is the town of reference for transport by train and bus to and from Bertinoro.
Food and Accommodation
The accommodation will be at the University Residential Center of Bertinoro.
The school will provide and offer accommodation and meals for all participants during the onsite week of the course (see Scholarships section)
Participants are free to organize themselves at their own expense upon notice.
Transport
Given that most of the participants will arrive in Bologna – especially from abroad – the school will organize a shuttle to bring participants from Bologna to Bertinoro and vice versa. More details will be given to the selected candidates.
Nearest airport: Bologna’s airport “Guglielmo Marconi”.
Nearest train station: Forlì Station (20 min. far from Bertinoro by car)
Alternatively, please check this link on how to get to the Centre.
Scholarships
MAGICA aims to embody and promote equitable access to knowledge and is therefore committed to fostering inclusion and equal opportunities. Accordingly, MAGICA through the organizer CMCC Foundation will offer 20 scholarships for all 20 places available in the course.
The scholarships will cover the course fee, course materials, food and accommodation, the transfers from Bologna to Bertinoro on April 20, and from Bertinoro to Bologna on April 24, 2026.
The school will NOT cover any extra costs not mentioned above, including but not limited to costs for visa application or related costs, travel arrangements from or to the meeting place in Bologna/Bertinoro, regardless of the point of departure. Besides the two abovementioned transfers (one each way to and from Bertinoro), no other transfers will be organized.
Funding and organizers
The School is organized by CMCC Foundation within the framework of MAGICA project.
MAGICA project is funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or CINEA. Neither the European Union nor the granting authority can be held responsible for them.
