The uses of machine learning - the ability for computers to learn without being explicitly programmed - is a vast growing trend, not only in academia but in the industry as well. With the ever-growing amount of data available, the easy to use programming packages, successful implementations of state-of-the-art machine learning solutions is now at the fingertips of everyone.
ICES will host the first workshop to better understand where machine learning and/or deep learning may be of greatest benefit within its existing fisheries science processes, such as survey and data collection, data handling, analysis and assessment, and review and advice.
Participants will be sought from as wide a community as is possible. Scientists with skills in surveying, stock assessment, social aspects, and experience in ICES advisory processe, as well as interdisciplinary scientists are encouraged to participate. Scientists with access to complex datasets as well as early career scientists with skills in machine learning are particularly welcome.
If you would like to participate or find out more about the workshop, contact the Chairs, Ketil Malde (Norway) or Shaheen Syed (Netherlands/UK).