A data directory to facilitate investigations on worldwide wildlife trafficking
ABSTRACTWildlife trafficking is a global phenomenon posing many negative impacts on socio-environmental systems. Scientific exploration of wildlife trafficking trends and the impact of interventions is significantly encumbered by a suite of data reuse challenges. We describe a novel, open-access dat...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2023-04-01
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Series: | Big Earth Data |
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Online Access: | https://www.tandfonline.com/doi/10.1080/20964471.2023.2193281 |
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author | Meredith L. Gore Rowan Hilend Jonathan O. Prell Emily Griffin John R. Macdonald Burcu B. Keskin Aaron Ferber Bistra Dilkina |
author_facet | Meredith L. Gore Rowan Hilend Jonathan O. Prell Emily Griffin John R. Macdonald Burcu B. Keskin Aaron Ferber Bistra Dilkina |
author_sort | Meredith L. Gore |
collection | DOAJ |
description | ABSTRACTWildlife trafficking is a global phenomenon posing many negative impacts on socio-environmental systems. Scientific exploration of wildlife trafficking trends and the impact of interventions is significantly encumbered by a suite of data reuse challenges. 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. |
first_indexed | 2024-03-13T08:02:05Z |
format | Article |
id | doaj.art-4ca16feaf881451982b1f401ebc153ac |
institution | Directory Open Access Journal |
issn | 2096-4471 2574-5417 |
language | English |
last_indexed | 2024-03-13T08:02:05Z |
publishDate | 2023-04-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Big Earth Data |
spelling | doaj.art-4ca16feaf881451982b1f401ebc153ac2023-06-01T12:20:45ZengTaylor & Francis GroupBig Earth Data2096-44712574-54172023-04-017233834810.1080/20964471.2023.2193281A data directory to facilitate investigations on worldwide wildlife traffickingMeredith L. Gore0Rowan Hilend1Jonathan O. Prell2Emily Griffin3John R. Macdonald4Burcu B. Keskin5Aaron Ferber6Bistra Dilkina7Department of Geographical Sciences, University of Maryland, College Park, USADepartment of Supply Chain Management, Michigan State University, East Lansing, USADepartment of Information Sciences, Statistics, and Management Science, University of Alabama, Tuscaloosa, USAOperations and Information Management Division, Babson College, Wellesley, USASupply Chain Management, Department of Management, Colorado State University, Fort Collins, USADepartment of Information Sciences, Statistics, and Management Science, University of Alabama, Tuscaloosa, USAVerterbi School of Engineering, University of Southern California, Los Angeles, USAVerterbi School of Engineering, University of Southern California, Los Angeles, USAABSTRACTWildlife trafficking is a global phenomenon posing many negative impacts on socio-environmental systems. Scientific exploration of wildlife trafficking trends and the impact of interventions is significantly encumbered by a suite of data reuse challenges. 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.https://www.tandfonline.com/doi/10.1080/20964471.2023.2193281Illegal wildlife tradesupply chainoperations managementinterdictionconservation |
spellingShingle | Meredith L. Gore Rowan Hilend Jonathan O. Prell Emily Griffin John R. Macdonald Burcu B. Keskin Aaron Ferber Bistra Dilkina A data directory to facilitate investigations on worldwide wildlife trafficking Big Earth Data Illegal wildlife trade supply chain operations management interdiction conservation |
title | A data directory to facilitate investigations on worldwide wildlife trafficking |
title_full | A data directory to facilitate investigations on worldwide wildlife trafficking |
title_fullStr | A data directory to facilitate investigations on worldwide wildlife trafficking |
title_full_unstemmed | A data directory to facilitate investigations on worldwide wildlife trafficking |
title_short | A data directory to facilitate investigations on worldwide wildlife trafficking |
title_sort | data directory to facilitate investigations on worldwide wildlife trafficking |
topic | Illegal wildlife trade supply chain operations management interdiction conservation |
url | https://www.tandfonline.com/doi/10.1080/20964471.2023.2193281 |
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