Fiona M Underwood

Statistical consultancy & research

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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

Mardia interdisciplinary workshops

With: International Development Section of the Royal Statistical Society. Award: Mardia Prize, Royal Statistical Society Project A series of workshops to develop a framework for statistical contributions to interdisciplinary work on the sustainable management of natural resources for poverty alleviation Motivation In low income countries, many poor people are dependent on the use of and […]

Statistics for international development and humanitarian action

What are the data-related challenges that those working in international development and humanitarian action face? How can statisticians contribute to solving these issues? This is the focus of some work that I am exploring on behalf of the International Development Working Group (IDWG) of the Royal Statistical Society (RSS). I am particular interested in understanding […]

Filed Under: Causality, Complexity, Humanitarian sector, International development

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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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