Decision Support Tools

Design Support Tools (DTS’s) are software applications that encapsulate repetitive computational tasks informed by Data Science, the results of which are displayed in a graphical format and present simulated outcomes based on various parameters. They are commonly used in business, science and industry to help subject matter experts and managers inform their decisions. 

The OceanICU project is designing new Decision Support Tools (DSTs)—modelling tools—to allow us to predict the impact of natural processes and industry actions and of which will aid scientists, industry and policy makers, in exploring the complex tradeoffs involved in determining the optimal resource exploitation strategy. In consultation with stakeholders, the models, scenarios and user experience of these DSTs will be developed over the course of the project to ensure they evolve into effective tools to aid policy makers involved in making decisions around how to deliver the EU Green Deal.

OceanICU Webinar: Decision Support Tools

The OceanICU Decision Support Tools Webinar was a Technical Masterclass!

OceanICU provided an in depth look at how EMODnet and Copernicus Marine via the EDITO platform, are helping OceanICU use Big Data to build its decision support tools, and how the project will use Machine Learning with Big Data.

Thanks to our expert panellists Conor Delaney, Jorn Bruggeman and Patrizio Mariani of Work Package 7, and to our special guest Marina Tonino (Mercator Ocean) for the insightful look into how they are leading new innovative pathways toward providing crucial data needed in support of the EU Mission “Restore our Ocean and Waters by 2030”

Missed the live event? Check out the recording and experience it for yourself.

You can also watch a demonstration of the first prototype of these tools here. This demonstrator integrates state-of-the-art biogeochemical models and datasets that are being developed and refined within OceanICU.  Check it out for yourself on the beta testing platform here. 

VIEW OR DOWNLOAD THE PRESENTATION (PDF, 4.307 KB)