Assessing the predictability of extinction risk using machine learning and pattern recognition
Lead Research Organisation:
Imperial College London
Abstract
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People |
ORCID iD |
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
NE/P012345/1 | 30/09/2017 | 29/09/2023 | |||
2234257 | Studentship | NE/P012345/1 | 28/01/2019 | 31/01/2025 |
Description | Daisy Balogh travel fund for travel and subsistence expenses related to PhD research |
Amount | £905 (GBP) |
Organisation | Zoological Society of London |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start |
Description | International Institute for Applied Systems Analysis Young Scientist Summer Program |
Organisation | International Institute for Applied Systems Analysis |
Country | Austria |
Sector | Academic/University |
PI Contribution | I was selected to take part in the Young Scientists Summer Program at IIASA, where I worked within the newly created Biodiversity group on a study on assessing predictability of vertebrate population trends. |
Collaborator Contribution | I carried out the work under the supervision of Dr. Martin Jung at IIASA. |
Impact | I am in the process of writing up the results of our analysis, which I aim to submit to a journal in the next 6 months |
Start Year | 2021 |