The Killer Shrimp Invasion Challenge on Kaggle: An online competition tackling the spread of invasive marine species through machine learning

• The world faces numerous complex marine challenges, such as overfishing, the spread of invasive species, and rising sea levels. These challenges are interconnected with the 17 UN Sustainable Development Goals, and in particular Goal #14 - Life below water. A paradox for any action related to the ocean is that while there is an enormous lack of ocean data, there is also an abundance of online marine and geo data that could be used to develop solutions through the application of artificial intelligence (AI). Open innovation and crowdsourcing could be a solution to such complex problems; however, applying data science to solve marine challenges through these open strategies is limited. Responding to the above, Ocean Data Factory Sweden (ODF Sweden), a data-driven innovation consortium in Gothenburg, developed an online competition, The Killer Shrimp Invasion Challenge (Figure 1). The competition was launched on the data science competition platform, Kaggle, in the spring of 2020 to address the spread of the invasive Killer Shrimp through applying machine learning (ML) to online data. This paper will describe the Killer Shrimp use case, the launch of the Kaggle competition, competition results and reflections on this form of tackling marine challenges.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

NATURVETENSKAP  -- Geovetenskap och miljövetenskap (hsv//swe)

NATURAL SCIENCES  -- Earth and Related Environmental Sciences (hsv//eng)

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