Marine Ecomed Course

The main output of the Marine_Ecomed Project is the Intensive Study Program (ISP) on planning and management of marine and coastal areas. It is a multidisciplinary course focused in aspects such as spatial planning, environmental management and sustainability, climate change, stakeholder engagement, innovative research and technologies. The ISP is organized through 2 Long Distance Learning (LDL) modules and a 2 weeks long workshop. It will be conducted for three editions (from 2019 to 2021).

Students will be trained by the experts of the project partner institutions and participate together to the course, collaboration between them will be enhanced to promote knowledge exchange and networking. Participation to the workshop will be supported through the award of Erasmus+ mobility grants available for students of the project partner universities in order to entirely cover their expenses.

The course is valid for 6 ECTS credits and it will be addressed to students from project partner universities (University of Venice, University of Marseille, University of Thessaloniki). Subscription of students from academic institutions external to the partnership will also be considered.

Hosting Universities

  • 2019

    Aix de Marseille - Marseille (France)

  • 2020

    Aristotle University - Thessaloniki (Greece)

    2020

  • 2021

    IUAV - Venice (Italy)

2020

The second Marine-Ecomed ISP edition will take place between April 27th and June 19th, 2020. As part of it the 2-weeks workshop will be held in Thessaloniki (Greece) at Aristotle University of Thessaloniki (8-19 June). Prior to the workshop participants will be asked to follow two distance learning modules (27 April – 5 June). Details on the program and how to apply for participation and scholarships are now available.

2019

The first Marine-Ecomed ISP was held in Marseille (France) from June 3rd to June 14th, 2019. Prior to the course participants were asked to follow two distance learning modules (May). Check here for details on program.