Information extraction, scalable processing, open-source development, and community engagement: Data science in fisheries acoustics
The Journal of the Acoustical Society of America(2021)
Abstract
The past decade has seen an explosion of the availability of fisheries acoustic data, driven primarily by the successful integration of echosounder on a variety of ocean observing platforms and a broader adoption of active acoustics as a tool for ocean sensing. However, we are just at the cusp of creating data processing techniques and workflows that can truly transform these data into information. In this talk, I will discuss recent advancements in multiple areas that I believe when combined, harbor the potential to accelerate research progress in fisheries acoustics toward making revolutionary changes: integration of physics-based models and data-driven methods, including machine learning; cloud computing; open-source software development; interoperable data and data standards; and community engagement, which plays a crucial role in driving rapid exchange of ideas and spurring innovation in not only fisheries acoustics, but also the broader oceanography and geoscience fields.
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Key words
fisheries acoustics,data science,information extraction,community engagement,open-source
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