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Ocean Data Factory Sweden

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Presentation for Oceans: Open Source for the Future conference on World Oceans Day organized by Smart Ocean Peniche: https://www.facebook.com/events/online/oceans-open-source-for-the-future/781576242368350/

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Ocean Data Factory Sweden

  1. 1. Ocean Data Factory Sweden Professor Robin Teigland Director, Ocean Data Factory Sweden Co-founder, Peniche Ocean Watch Chalmers University of Technology June 2020
  2. 2. https://oceandatafactory.se/
  3. 3. ODF Sweden leadership ODF Research Coordinator Robert Rylander Researcher RISE, Maritime Research robert.rylander@ri.se Nautical Officer Shipping Digitalization Expert ODF Director Robin Teigland Professor, Mgt of Digitalization Chalmers University of Technology Robin.teigland@chalmers.se Co-founder Peniche Ocean Watch Blue Circular Economy Innovation Initiative ODF Coordinator Torsten Linders Oceanographer and Researcher Gothenburg University torsten.linders@marine.gu.se Coordinator SCOOT – Swedish Center for Ocean Observing Technology ODF AI Coordinator Benedikt Ziegler Group Manager Data Science Solutions Combine Control Systems AB benedikt.ziegler@combine.se
  4. 4. University Public sector Industry Global quadruple helix for data-driven innovation
  5. 5. Combine Control Systems AB The oceans are producing huge quantities of valuable data that could provide answers to many global issues such as climate change. In fact, by 2030 the "blue economy" is expected to grow at twice the rate of the rest of global economies. In order to address these challenges we need to put all this data to work. Industrial partner Combine contributes mainly in design and implementation of AI and ML solutions for use cases within ODF
  6. 6. ODF International Advisory Board provides access to data, tools, and a global collaboration network France • Dr. Fabrice Collard, President OceanDataLab • Dr. Serdar Temiz, University of Rennes and EIT Digital Hub Norway Professor Alex Alcocer Dept of Mechanical, Electronics and Chemical Engineering & AI Lab Oslo Metropolitan University (OsloMet) Sweden • Åsa Burman, Director, Lighthouse – Swedish Marine Competence Center • Vanja Carlén, Project Leader, AI Innovation of Sweden • Jessica Hjerpe Olausson, Maritime Expert, Västra Götalandsregionen • Professor David Langlet, Ocean Governance Law, School of Economics, Gothenburg University Germany Professor Dirk Fleischer Kiel Marine Science Data and Information Manager Kiel University Portugal Professor Sergio Leandro Deputy Director, School of Tourism and Maritime Technology Politechnic Institute of Leiria and Head of smartOCEAN
  7. 7. Smart Ocean Network Smart Ocean VGR, Sweden Goal: To create a global network of hubs for sustainable ocean innovation Workshop November 2019 smartOCEAN Peniche, Portugal
  8. 8. An ocean of use cases Food & Medicine Energy SafetyTourism & sport Ports & smart cities AUVs & monitoring Drilling & mining Environment Transport & naval architecture Materials & product design Environmental monitoring & numerical forecasting
  9. 9. Learning through interaction with partners EMODnet Open Sea Lab Belgium Challenge Workshop with HaV Sweden
  10. 10. Invasive species Dikerogammarus villosus Can ML methods help us predict areas in the Baltic Sea that would be suitable for the Killer Shrimp? First use case Presence validated
  11. 11. Data, data, data • Presence data from the North Sea & Baltic Sea regions (roughly 3000 data points) • Pseudo-absence data from the Baltic Sea region (2.8 million data points) • Environmental datasets informed by subject experts which include: surface temperature, surface salinity, substrates, exposure and depth (averaged during the winter months, where appropriate) • Data imbalance 2020-06-08 Combine Control Systems AB
  12. 12. Model architectures Deep Neural Network
  13. 13. Output visualization 2020-06-08 15 CombineControlSystemsAB • Web application (odf-open-data.herokuapp.com) • Notebooks (www.kaggle.com/jannesggg)
  14. 14. Open Innovation - Leveraging the crowds https://www.kaggle.com/c/killer-shrimp-invasion/overview
  15. 15. Second use case Identifying cold water corals in the Koster Sea through ML image recognition
  16. 16. Koster Seafloor Observatory highlighted https://scistarter.org/EarthSchool TED-Education, the United Nations Environment Programme
  17. 17. Third use case – Under development
  18. 18. Our approach to use cases 2020-06-08 20 • Problem formulation • Data collection • Data preparation and cleaning • Building and fitting the models • Evaluating model • Interpreting model output • Continue until output is actionable Combine Control Systems AB 10 30 60 Time spent
  19. 19. Key takeaways Combine Control Systems AB Ocean data modelling involves domain knowledge Data, data, data… Documentation of methods and data extraction methods Results should always be critically approached Our methods demonstrated that useful insights can be generated
  20. 20. Thank you! ODF Research Coordinator Robert Rylander Researcher RISE, Maritime Research robert.rylander@ri.se Nautical Officer Shipping Digitalization Expert ODF Director Robin Teigland Professor, Mgt of Digitalization Chalmers University of Technology Robin.teigland@chalmers.se Co-founder Peniche Ocean Watch Blue Circular Economy Innovation Initiative ODF Coordinator Torsten Linders Oceanographer and Researcher Gothenburg University torsten.linders@marine.gu.se Coordinator SCOOT – Swedish Center for Ocean Observing Technology ODF AI Coordinator Peter Karlsson CEO Combine & Board Member Combine Control Systems AB peter.karlsson@combine.se https://oceandatafactory.se/

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