Simon Dedman

ORCID iD
https://orcid.org/0000-0002-9108-972X
  • Country
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United States

Sources:
Simon Dedman (2016-01-24)

  • Keywords
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Elasmobranch,

Sources:
Simon Dedman (2016-11-04)

spatial modelling,

Sources:
Simon Dedman (2016-11-04)

Boosted Regression Tree BRT,

Sources:
Simon Dedman (2016-11-04)

Marine Protected Area MPA,

Sources:
Simon Dedman (2016-11-04)

Maximum Sustainable Yield MSY,

Sources:
Simon Dedman (2016-11-04)

Decision Support Tool DST

Sources:
Simon Dedman (2016-11-04)

  • Websites
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My website

Sources:
Simon Dedman (2014-11-03)

  • Other IDs
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Scopus Author ID: 56674720000

Sources:
Scopus - Elsevier (2017-03-29)

Biography

I am an elasmobranch scientist specialising in spatial modelling using machine learning approaches (Boosted Regression Trees), applied to fisheries management through Maximum Sustainable Yield, manually coded into the open-source Decision Support Tool 'gbm.auto' in R. I acquired my PhD in 2017 from Galway-Mayo Institute of Technology, Ireland, and now live in San Carlos, California, USA. I am a member of the American Elasmobranch Society, European Elasmobranch Association, UK Shark Trust, WWF, and Mensa, and regularly attend AES, EEA and ICES annual conferences.
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