Fiona M Underwood

Statistical consultancy & research

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Using seizures data to describe the scope and scale of transnational organized crime

A few years ago I wrote a brief for the Global Initiative against Transnational Organized Crime (GI-TOC) for their ENACT (Enhancing Africa’s capacity to respond more effectively to transnational organised crime) programme. The brief was about using seizures data to understand the scope and scale of transnational organized crime (TOC). ENACT were interested in whether […]

Filed Under: Global indicators, Illegal wildlife trade, Seizures data Tagged With: bias adjustment, global indicators, seizures data, wildlife trade

Using Bayesian Belief Networks to assess how to manage commercial wildlife trade in a complex world

International commercial trade is one of the greatest threats to many wildlife species. The conservation community is often deeply divided on how to manage the trade to ensure the long-term sustainability of these species. Trade strategies range from a ban on all trade, to various forms of regulated trade. The impact a strategy will have […]

Filed Under: Bayesian Belief Networks, Causality, Illegal wildlife trade Tagged With: Bayesian Belieft Networks, Collaboration, wildlife trade

Measuring transnational organized crime

Background Under the EU funded project, ENACT (Enhancing Africa’s capacity to respond more effectively to transnational organized crime), the Global Initiative against Transnational Organized Crime, the Institute for Security Studies and Interpol are developing an Index to provide a multi-dimensional measure of the scale and scope of organized crime in Africa. Project ENACT commissioned a […]

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ABOUT ME

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I have experience of collaborating on problems in natural resources management, food security, climate change, international development and the illegal wildlife trade. For more see [...]

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  • Using seizures data to describe the scope and scale of transnational organized crime
  • Using Bayesian Belief Networks to assess how to manage commercial wildlife trade in a complex world

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