Charlotte Rush
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Email
cr23569@essex.ac.uk -
Location
Colchester Campus
Profile
- Biodiversity Modelling
- UK Biodiversity Policy
Biography
In 2017, I obtained my BSc (Hons) in Biological Sciences (Zoology) at University of Edinburgh, during which, I completed a meta-analysis study for my thesis and first became interested in computational methods of research and analysis. In 2018, I attained an MSc at Queens University Belfast in Ecological Management and Conservation Biology, where I enjoyed refining my skills and knowledge base in general ecology. My MSc thesis involved surveying an abandoned, once flourishing, Victorian garden and lake, to form part of an application for a new outdoor learning environment for future students of the School of Biological Sciences. During the COVID-19 pandemic and consequent lockdowns, I chose to gain new, globally sought after skills in the form of a part-time, remote MSc in Software Development, also at Queens University Belfast. I secured important experience in data science and analysis and developed an android application on recording and sharing users perception of safety of public spaces for my final project. Through this, I became passionate about both citizen science in data collection and the potential power of big data. My ultimate goal has always been to join my passions and experiences in both ecology and data, and my PhD project is the perfect cross over of this: using data science to help inform biodiversity conservation and restoration.
Qualifications
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MSc. Software Development Queen's University Belfast (2022)
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MSc. Ecological Management and Conservation Biology Queen's University Belfast (2019)
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BSc. (Hons) Biological Sciences (Zoology) University of Edinburgh (2017)
Research and professional activities
Thesis
Aiming for Nature Recovery: Data Science to Inform Biodiversity Conservation and Restoration
This project aims to create a toolkit for future policy or decision makers to use when developing and implementing conservation initiatives, avoiding potential public criticism, and choosing what works best for UK biodiversity in the face of an ever changing climate. This is achieved through the use of biological and environmental datasets in biodiversity modelling, both estimating a baseline and forecasting biodiversity under different climate and conservation scenarios.
Supervisor: Martin Wilkes