Fiona M Underwood

Statistical consultancy & research

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A complex statistical methodology becomes more routine….

I recently completed an analysis for TRAFFIC International to describe trends in the illegal ivory trade from 1996 – 2014. These results are being presented this week at the CITES Standing Committee as part of the document on “Elephant conservation, illegal killing and ivory trade” (in particular see  Figures 5-9). Clearly, it is the results that are […]

Filed Under: Bayesian, Bias adjustment, Complexity, Global indicators, Illegal ivory trade, Seizures data

Combining expert knowledge with data

Evidence helps inform humanitarian action so that it is impartial, effective and ethical. The challenges to obtaining and using this evidence are the motivation behind the extremely informative paper “Insufficient evidence? The quality and use of evidence in humanitarian action” written by Paul Knox Clarke and James Dacy for ALNAP*. There are many statistical issues that […]

Filed Under: Bayesian, Complexity, Humanitarian sector

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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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RECENT POSTS

  • 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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