Invasive specieses

SCOOT ship days March 2022

On Friday 18 March we ended SCOOT’s ship week for this time. We plan to be back soon, hopefully with AUV Ran. As always we make it our mission to support entrepreneurs, small and medium sized companies, and basically anyone with an interesting idea. This week we made University of Gothenburg’s new research vessel Skagerak available. We could show images of the blue sky and the glittering ocean (yes, we had nice weather), but we would rather show the continuous data acquisition that goes on the inside of Skagerak. The photo above is from the vessel’s FerryBox system, for continuous measurements of surface water. Curious about the data? Get in touch with SCOOT.

Busy week it has been. Methods have ranged from the very established, like vertical profiling using CTD and sediment sampling using box corer, to the emerging (?) standard of sampling water for eDNA, with consultancy SeAnalytics AB.

At the end of the week we tested two prototypes of a simple 3D-printed temperature mini-logger. We made sure to deploy them at the same depth as the intake for the vessels FerryBox. Both SCOOT and the developing company Deepoid AB will be interested to see how well data from the loggers compare with data from the very well calibrated temperature sensor in the FerryBox system.

SCOOT supports innovation

Do you have an idea about how to get or use ocean data? Then SCOOT wants to support you, with ship time and autonomous platforms and robots, with sensors, expertise and networking. Here is what you should do:

  • Contact us. We want to hear about your ideas.
  • Follow us on Twitter, to learn first about our activities and offers.
  • Sign up for our newsletter, where we summarize what goes on at SCOOT.

Research engineer from Moscow wins the Killer Shrimp Invasion Challenge!

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

Join the Killer Shrimp Invasion Challenge!

Ocean Data Factory Sweden (coordinated by SCOOT) releases an open challenge: Use innovative machine learning (ML) solutions to predict the spread of the so-called “Killer Shrimp” (Dikerogammarus Villosus) into the Baltic Sea. Join the Killer Shrimp Invasion Challenge online on Kaggle!

Are you

  • a data scientist interested in applying your knowledge to environmental challenges?
  • a marine scientist interested in using Machine Learning in your work?
  • generally passionate about the ocean and keen to learn more about Machine Learning and Marine Science?

Then this is the right challenge for you! The winner of this competition will be awarded a €150 prize, along with the opportunity to present their winning model at the next ODF Sweden Grand Meeting. The event will be in the beautiful city of Gothenburg in June 2020 (date tba).