Investigating illegal wildlife trade: innovative approaches to inform global conservation policy

Projekt: Helsingfors Universitetets treåriga forskningsprojekt

2021

Digital Conservation: Novel methods and online data to address the biodiversity crisis
Fink, C., 28 maj 2021, Helsinki: University of Helsinki, Faculty of Science, Department of Geosciences and Geography. 216 s.
Forskningsoutput: Avhandling › Doktorsavhandling › Samling av artiklar

Öppen tillgång
2019

A framework for investigating illegal wildlife trade on social media with machine learning
Di Minin, E., Fink, C., Hiippala, T. & Tenkanen, H., feb. 2019, I: Conservation Biology. 33, 1, s. 210-213 4 s.
Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

Öppen tillgång
Fil
python-webis: Python wrapper for the webis Twitter sentiment evaluation ensemble
Fink, C. A., 23 jan. 2019
Forskningsoutput: Icke-textbaserad output › Programvara › Vetenskaplig

Öppen tillgång
2018

Machine learning for tracking illegal wildlife trade on social media
Di Minin, E., Fink, C., Tenkanen, H. & Hiippala, T., mars 2018, I: Nature Ecology & Evolution. 2, 3, s. 406-407 2 s.
Forskningsoutput: Tidskriftsbidrag › Brev › Vetenskaplig
2017

Threats from urban expansion, agricultural transformation and forest loss on global conservation priority areas
Veach, V., Moilanen, A. & Di Minin, E., 28 nov. 2017, I: PLoS One. 12, 11, 14 s., 0188397.
Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

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Fil

Forskningsresultat