Nature Crime: wildlife trafficking
RhinoCourtCases Map
The Oxpeckers Rhino Poachers Court Cases map shows the location of court cases involving rhino poaching in the country using data obtained from South Africa’s Ministry of Police. You can select individual markers on the map to read details about individual court cases and you can filter the results on the map by station, date and the name of the accused.
Red Flag Indicators for Wildlife and Timber Trafficking in Containerized Sea Cargo
Compendium that aims to capture the most common red flag indicators for illegal wildlife trade (IWT) happening through containerized sea cargo. It aims to guide and assist the maritime shipping sector in detecting possible non-compliance and IWT-related activities in their supply chains. It also provides recommendations and links to existing tools and best practices to help companies prevent further exploitation from traffickers.
Species Identification Guide for Lao PDR, Myanmar and Thailand
An 89-page guidebook to help enforcement officers identify species openly sold in markets in three Mekong countries. Also available in Burmese, Laotian, Thai, and Chinese.
Owls of India ID Guide
An identification guide to support enforcement identify species of Indian owls in illegal trade.
ROUTES Dashboard
Interactive graphics and visualisation tools on wildlife trafficking through airports and flight routes between 2009 and 2021 derived from open-source wildlife seizure data collected by C4ADS. When the ROUTES Partnership came to a close in 2021, the data and functionality from the ROUTES Dashboard were transferred into TRAFFIC’s Wildlife Trade Portal.
PortMATE (Port Monitoring and Anti-Trafficking Evaluation)
PortMATE is a tool designed to improve the monitoring of port activities and assist in the identification and mitigation of illicit trafficking.
Cyberspotters Machine Learning System
A machine learning system that can isolate potential illegal wildife trade products for sale on online marketplaces. Current training data is on ivory, pangolin, wild cat teeth and claws, elephant hair and skin. The system is housed at WWF Singapore and is part of the Cyber Spotters initiative. Data extrapolated from this system gets forwarded to law enforcement (if deemed serious), to e-commerce companies (for their records) and kept internally to be used as references for potential future action i.e. demand reduction initiatives, digital deterrent.
AI Guardian 2.0
AI Guardian 2.0 uses a customized model created by PaddleX, a development tool for the PaddlePaddle platform. The tool uses internet technology to enable the comprehensive management of illegal wildlife trade on the Internet and to make wildlife protection more efficient. The tool adopts the latest large vision model (LVM) and was trained jointly by the International Fund for Animal Welfare (IFAW) and Baidu PaddlePaddle through semi-supervised learning. The model will be upgraded regularly to incorporate the latest technology development and will expand the number and variety of species covered to keep up with latest trends in wildlife cybercrime.
Wildlife Witness
Wildlife Witness lets you report illegal trade. It makes it simple for you to watch out for wildlife and be part of the solution. It is the first global community action tool to tackle illegal trade and gives you the power to make a positive difference. With the app you can report wildlife you see caught in trade, see reports you’ve made on a global map, learn about wildlife affected by trade, and learn what to look out for.
Social and Behavioral Change Online Community of Practice
A community of conservation practitioners, non-governmental organizations, government agencies, academics, researchers, social marketers and advertisers who believe that behavioural science approaches can help to reduce demand for illegally traded wildlife products.