The Ocean Cleanup project has an ambitious goal, to get rid of over half of the plastic littering the Great Pacific Garbage Patch in the next 5 years, which represents the largest accumulation of ocean plastic in the world at over 80,000 tons.
Bruno Sainte-Rose, The Ocean Cleanup’s lead computational modeler, will share how he and his team are leveraging Dataiku DSS to conduct operational monitoring and modeling of their plastic cleanup systems. Bruno will explain how he aggregated and processed data coming from different sources (environmental measurements, GPS trackers, weather forecast models…) in Dataiku DSS, and how this data is then used for operational live monitoring of the systems, background experiments, and calibration of behavioral and cleanup efficiency models.
After the presentation we will host a Q&A, followed by live exchange to hear your perspectives around using AI for Good.
The Ocean Cleanup
Lead Computational Modeler
Bruno Sainte-Rose is The Ocean Cleanup’s lead computational modeler. He and his teams works on computational models to predict the cleanup system’s efficiency
Bruno Sainte-Rose is The Ocean Cleanup’s lead computational modeler. He and his teams works on computational models to predict the cleanup system’s efficiency.
Data Science in Cultural Non-Profit Sector
Group Facilitator & Scrum Master