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



The illegal wildlife trade is considered the largest illegitimate business after narcotics and is threatening the persistence of thousands of species globally. Currently, there is a global spotlight on combatting illegal wildlife trade. A paucity of data on the scale and extent of the problem has thus far limited progress toward assessing the real impact illegal wildlife trade is having on biodiversity. In this project, I will address this limitation by using new data made available by project collaborators and data mined from social media platforms. Specifically, I will use this data to develop innovative analyses to expose the supply chain of the illegal wildlife trade in order to inform global conservation policy. First, I plan to identify areas globally where pressures on species threatened by illegal wildlife trade are the highest and resources for counteracting illegal activities are the lowest. Second, I intend to assess the relationships between the legal (allowed by international conventions) and illegal wildlife trade in order to assess the extent to which legal trade patterns reflect those of illegal trade. Third, I will use new data mined from social media platforms, which have become one of the main venues where to trade illegal wildlife products, to unveil social networks of traders and users of illegal wildlife products and potential shipping routes. Fourth, I will develop biodiversity indicators that can be used by decision-makers to assess the impact illegal wildlife trade is having on biodiversity and monitor the success of conservation interventions over time. As this study is developed in collaboration with the most influential organizations promoting biodiversity conservation globally, the impact of the project will be maximized by feeding the results of this project directly into key policy-making processes at United Nations Environmental Programme, Convention of International Trade in Endangered Species of Wild Fauna and Flora, the Convention of Biological Diversity and other decision-making fora.
Kort titelWildlife trade
Gällande start-/slutdatum01/09/201631/05/2020


  • Helsinki Institute of Sustainability Science (HELSUS): 118 000,00 €
  • Valtion perusrahoitus/hankkeet


  • 1181 Ekologi, evolutionsbiologi
  • 113 Data- och informationsvetenskap
  • 112 Statistik
  • 1171 Geovetenskaper


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: TidskriftsbidragArtikelVetenskapligPeer review

Öppen tillgång

python-webis: Python wrapper for the webis Twitter sentiment evaluation ensemble

Fink, C. A., 23 jan 2019

Forskningsoutput: Icke-textbaserad outputProgramvaraVetenskaplig

Öppen tillgång

Machine learning for tracking illegal wildlife trade on social media

Di Minin, E., Fink, C., Tenkanen, H. & Hiippala, T., mar 2018, I : Nature Ecology & Evolution. 2, 3, s. 406-407 2 s.

Forskningsoutput: TidskriftsbidragBrevVetenskaplig


  • 1 Arrangemang av och deltagande i konferens/workshop/kurs/seminarium
  • 1 !!Invited talk

Machine learning for tracking illegal wildlife trade on social media

Enrico Di Minin (!!Speaker)
29 jan 2018

Aktivitet: Typer för tal eller presentation!!Invited talk

Non detriment finding for white and black rhinoceros

Enrico Di Minin (Närvarande)
31 jan 20181 feb 2018

Aktivitet: Typer för deltagande i eller organisering av evenemangArrangemang av och deltagande i konferens/workshop/kurs/seminarium