Hackathon pilots
The Blue-Cloud Hackathon is a collaborative event series bringing together marine scientists, researchers, data scientists, ICT experts, innovators, and students to explore the Blue-Cloud Open Science platform. Through access to marine datasets, analytical tools, virtual labs, and workbenches, participants are empowered to design and test data-driven workflows, generate insights, and develop innovative applications supporting a safe, healthy, productive, predictive, and transparent Ocean.
The first edition, held online from 7 to 9 February 2022, invited teams to use the Blue-Cloud platform to address challenges related to marine ecosystem understanding, sustainable aquaculture, environmental risk prediction, and open innovation for Ocean sustainability.
The 2025 edition, taking place from 29 September to 2 October 2025, expands this vision by encouraging participants to explore the next generation of the Blue-Cloud ecosystem, including its Virtual Labs and analytical environments. Teams are challenged to create practical solutions that advance marine science, support early warning systems, track Ocean health, and connect with broader initiatives such as the European Digital Twin Ocean (EDITO).
Across all editions, the Blue-Cloud Hackathon fosters open, collaborative marine science and contributes to the global effort of achieving the United Nations Sustainable Development Goals through data-driven innovation for a more sustainable Ocean future.
RugOBSS
RugOBSS - Hackathon 2025
TwinTrack
Kraken The Code
Kraken the code - Hackathon 2025
The Particle Trackers
AqADAPT
PerfeCt - Performance of Aquaculture under Climate change
Marine Wildlife Trackers
Wildlife Tracker for Oceans: real-time assessment for marine fauna habitat with Phytoplankton hotspots
Ocean Warning
DataDolphin
DataDolphin - fast & smart marine risk prediction toolkit
aquamap
TeamCoral
Impact atlas of Mediterranean aquaculture farming and solutions
AtlantECO hacc-UP
All-Atlantic Plankton Diversity & Distribution Mapper
Marine Analyst
Black swan finder
NFT-based model to visualize and predict marine ecosystems
EutroWarn
Early Warning System for Severe Eutrophication
Cavorit Ocean T(win)
BLUE T(WIN)
The knowledge of modern societies is T-shaped: Expert knowledge is deeply hidden within vertical silos of scientific communities, while on a horizontal layer, public debate and insights are often remarkably self-referential. The effort of connecting sciences under a paradigm of multidisciplinarity and big data might increase this gap.