Early warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing
Unsustainable wildlife trade imperils thousands of species, but efforts to identify and reduce these threats are hampered by rapidly evolving commercial markets. Businesses trading wildlife-derived products innovate to remain competitive, and the patents they file to protect their innovations also p...
Váldodahkkit: | Hinsley, A, Challender, DWS, Masters, S, Macdonald, DW, Milner-Gulland, EJ, Fraser, J, Wright, J |
---|---|
Materiálatiipa: | Journal article |
Giella: | English |
Almmustuhtton: |
Nature Research
2024
|
Geahča maid
-
Early warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing
Dahkki: Hinsley, AE, et al.
Almmustuhtton: (2024) -
Early warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing
Dahkki: A. Hinsley, et al.
Almmustuhtton: (2024-08-01) -
Code supporting “Early-warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing”.
Dahkki: Hinsley, A, et al.
Almmustuhtton: (2024) -
Mischaracterising wildlife trade and its impacts may mislead policy processes
Dahkki: Challender, DWS, et al.
Almmustuhtton: (2021) -
Illegal wildlife trade: Scale, processes, and governance
Dahkki: ‘T Sas-Rolfes, M, et al.
Almmustuhtton: (2019)