Position Description – Analysis of the Scientific Field:
Computational Biodiversity is the scientific discipline that focuses on the design of algorithms and models — such as machine learning methods, data science approaches, discrete and numerical algorithms, as well as classical statistical techniques — and on the development of corresponding software and tools for the exploration, analysis, and interpretation of biodiversity data (ecological, genetic, biogeographical, satellite, or sensor data). At the same time, particular emphasis is placed on the analysis and interpretation of real/empirical biodiversity data, in close collaboration with biologists. Overall, Computational Biodiversity aims to facilitate and enhance research in the field of biodiversity.
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