Published September 20, 2022 | Version 2.0

A data directory to facilitate investigations on worldwide wildlife trafficking

  • 1. University of Maryland
  • 2. Michigan State University
  • 3. University of Alabama
  • 4. Babson College
  • 5. Colorado State University
  • 6. University of Southern California

Description

We describe a novel, open-access data directory  on wildlife trafficking and a corresponding visualization tool that can be used to identify data for multiple purposes, such as exploring wildlife trafficking hotspots and convergence points with other crime, discovering key drivers or deterrents of wildlife trafficking, and uncovering structural patterns. Keyword searches, expert elicitation, and peer-reviewed publications were used to search for extant sources used by industry and non-profit organizations, as well as those leveraged to publish academic research articles.  The open-access data directory is designed to be a living document and searchable according to multiple measures. The directory can be instrumental in the data-driven analysis of unsustainable illegal wildlife trade, supply chain structure via link prediction models, the value of demand and supply reduction initiatives via multi-item knapsack problems, or trafficking behavior and transportation choices via network interdiction problems.

Notes

The visualization is available at http://conservationcriminology.com/iwt-data-dictionary/

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Additional details

Related works

Obsoletes
Dataset: 10.5281/zenodo.7096921 (DOI)

Funding

U.S. National Science Foundation
ISN2: Detecting and Interdicting Illicit Wildlife Trafficking Supply Chains 1935451