April 19, 2018 @ 4:00 pm – 6:00 pm
Wildlife trafficking is among the largest global crimes, along with drugs, counterfeiting, and human trafficking according to TRAFFIC and the World Wildlife Fund (WWF). It is also a multi-billion dollar business with estimates between US$7-$23 billion annually with illegal fishing additionally generating annually US$11-$24 billion in profits according to a 2016 UNEP-INTERPOL report. Wildlife trafficking impacts thousands of species and with it, links to environmental degradation, human trafficking, and corruption. Illegal fishing is intertwined with forced labour as well as serious ecological impacts. These intersecting crimes devastate ecosystems and human lives, as well as endangering security and public health.
Governments, local communities, law enforcement, and non-governmental organizations are working in tandem with the private sector to combat wildlife trafficking and illegal fishing. These partnerships are examining the complexities of these crimes and working to eliminate risk. This webinar will address how wildlife trafficking and illegal fishing are combined with other forms of transnational organized crime and how each effect various industries within the private sector.
- Peter Barnes, Director Group i3 Integrated intelligence and investigations, Standard Chartered Bank
- Steven Broad, Executive Director, TRAFFIC
- Jessica Graham, Strategic Policy Advisor, INTERPOL
- Quinn Sandor Kepes, Program Director, Verité
Moderator: Rob Parry-Jones, Lead, Wildlife Crime Initiative, WWF International
Date: Thursday, April 19, 2018 at 10:00 am – 12:00 pm EST/ 4:00 – 6:00 pm CEST
This webinar is co-hosted by the Global Initiative against Transnational Organized Crime, Babson College’s Initiative on Human Trafficking and Modern Slavery and the International Organization for Migration (IOM), in collaboration with the Terrorism, Transnational Crime and Corruption Center (TraCCC) at George Mason University and the U.S. Department of Homeland Security’s Center of Excellence in Criminal Network Analysis (CINA).