In March the Killer Shrimp Invasion Challenge was opened on Kaggle by Ocean Data Factory Sweden (coordinated by SCOOT): Use innovative machine learning (ML) solutions to predict the spread of the so-called “Killer Shrimp” (Dikerogammarus Villosus) into the Baltic Sea. The challenge is now closed , the referees have completed the evaluation and announced that the winner is…
Dimitriy, research engineer at IBRAE RAS in Moscow, Russia! Dimitriy nicked the winner’s place with a score of 0.99954 (out of a maximum possible 1) and by complying to all rules. Dimitry will be presenting his model in an open webinar on June 16th, see below:
The Benefits and Challenges of Open Innovation and Citizen Science for Solving Ocean Challenges through Applying ML to Ocean Data
Join us on June 16th for a Zoom discussion (Please register here):
- 15:30 to 15:40 Introduction to Ocean Data Factory Sweden and afternoon discussion
- 15:40 to 16:10 The Killer Shrimp Invasion Challenge on Kaggle: An online competition tackling the spread of invasive marine species through machine learning
- 16:10 to 16.20 Break
- 16.20 to 16.50 The Koster Seafloor Observatory on Zooniverse (still open to join!): Using citizen science and machine learning to annotate subsea imagery
- 16.50 to 17.00 Concluding remarks