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New Applications of Text-Based Analysis for Biodiversity Conservation

Date & Time:
14.30 - 16.30,
Thursday 10 May, 2018


Gathering and interpreting evidence to guide environmental policy and our understanding of attitudes toward the natural world are key elements to biodiversity conservation. At the biodiversity cluster in Geography, we are developing frameworks and tools to do this on a wide scale. Efforts include the systematic mapping of the literature for protected area planning, measuring the environmental impacts of our diets, and prioritizing research on deforestation. Other work analyzes Wikipedia and interview data to uncover preferences for certain species and landscapes. We invite you to a seminar to discuss these projects and parallel work at the Oxford Internet Institute, with particular emphasis on extracting beliefs and opinions from text, and automating the collection and review of large numbers of documents.

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  • Name: Richard Grenyer|Jennifer Gooden|Adam Formica
  • Affiliation: University of Oxford|University of Oxford|University of Oxford
  • Role: ||
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  • Bio: Richard Grenyer is a biologist and conservationist who is interested in the fundamental position that space and geographical processes occupy in biodiversity science and modern conservation strategy. His research interests include high-performance computing and optimality in systematic conservation planning; alternative measures of biodiversity, phylogenetics and macroevolution; conservation ecology; and conservation politics.|Jennifer Gooden is a DPhil candidate at the School of Geography and the Environment at the University of Oxford. Jennifer is studying private land purchase for biodiversity and ecosystem conservation. Her research aims to understand the scale and characteristics of private conservation landownership by individuals and families and the factors that influence decision making about land purchase, such as motivations, values, and social context.|Adam Formica is a University of Oxford DPhil student using computational methods to find effective policies against deforestation. He is employing automated text analysis to systematically review and identify geographical gaps in deforestation research. He is also building simulations of agricultural systems to test which strategies such as increasing yields and protecting surrounding areas can reduce forest clearing.