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

Challenge #02: Supporting Early Warning & Response to Accidents or Natural Events

TwinTrack

TwinTrack - Hackathon 2025

Challenge #04: Wild Card: Double up with EDITO!

Kraken The Code

Kraken the code - Hackathon 2025

Challenge #02: Supporting Early Warning & Response to Accidents or Natural Events

The Particle Trackers

Sea Clearly

FEEDING THE WORLD - Challenge: 2B

AqADAPT

PerfeCt - Performance of Aquaculture under Climate change

WILDCARD - Hack the Blue-Cloud! - Challenge 4

Marine Wildlife Trackers

Wildlife Tracker for Oceans: real-time assessment for marine fauna habitat with Phytoplankton hotspots

The "Wildlife Tracker for Oceans" is a geo-framework dedicated to the real-time assessment of Marine Protected Areas - MPAs. Challenge: 1A - UNDERSTANDING THE OCEAN

Ocean Warning

A warning system for extreme marine events

PREDICTING ENVIRONMENTAL RISKS - Challenge: 3A

DataDolphin

DataDolphin - fast & smart marine risk prediction toolkit

DataDolphin developed a user-friendly toolkit that consists of three parts: a data analysis tool that reveals the general connections between data points, a prediction tool that forecasts future trends, and a playful platform that allows anyone to explore marine data in an intuitive and engaging way.  Challenge: 3A - PREDICTING ENVIRONMENTAL RISKS

aquamap

Mapping aquaculture suitability

<FEEDING THE WORLD - Challenge: 2B>

TeamCoral

AtlantECO hacc-UP

All-Atlantic Plankton Diversity &amp; Distribution Mapper

Use AtlantECO and BlueCloud plankton distribution data to develop autonomous species distribution modelling tools and map aspects of the Atlantic Ocean ecosystem. Hackathon Challenge: 1A - UNDERSTANDING THE OCEAN

Marine Analyst

Chlorophyll sandbox

<UNDERSTANDING THE OCEAN - Challenge: 1A>

Black swan finder

NFT-based model to visualize and predict marine ecosystems

What is the tool? A dynamic real-time based 3d virtual marine ecosystem made by NFT.  Why this tool? The ecosystem is dynamic and having real-time data is necessary for understanding the current situation of the ecosystem.  <PREDICTING ENVIRONMENTAL RISKS - Challenge: 3B>

EutroWarn

 Early Warning System for Severe Eutrophication

<PREDICTING ENVIRONMENTAL RISKS - Challenge: 3A>

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. 

GoPlankton

Hack the data

Hack the data: Can current data identify the drivers of plankton’s diversity in the Atlantic?