The Blue-Cloud Hackathon (7-9 February 2022) invited marine scientists & researchers, data scientists, ICT experts, innovators, students, and anyone passionate about the Ocean to explore and test Blue-Cloud: the new, Open Science platform for the marine domain offering a wealth of data, analytical tools and computing power to support you in developing solutions for a safe, healthy, productive, predictive and transparent Ocean.
Participants were challenged to develop applications that contribute to improving knowledge of marine ecosystems; support the transition to a greener, blue economy; advance Ocean literacy; and/or enhance international collaboration towards achieving the Sustainable Development Goals (SDGs) of the United Nations Agenda 2030. Teams were grouped into categories and faced different hackathon challenges.
Find here the teams that participated in the challenge and discover the people behind, the ideas, topics and video pitches realised.
More information about the outcomes of the hackathon can be found here.
WILDCARD - Hack the Blue-Cloud! - Challenge 4
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
PREDICTING ENVIRONMENTAL RISKS - Challenge: 3A
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
<FEEDING THE WORLD - Challenge: 2A>
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
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>