The vast amounts of data held in Kew's collections and associated databases represent a huge, often untapped resource. The BISA team’s role is to enable access to and to disseminate these data, as well as to evaluate trends and patterns through time and space (geographical, meteorological and ecological) to enable a new level of use of the collections.
The application of machine learning and data mining techniques to uncover hidden entities in specimen and publication data which then enable different kinds of trends analyses.
Exploring botanical big data with computational and statistical models in conjunction with field monitoring techniques and equipment.
Responsible for maintaining some 3 million names in IPNI, WCSP and IF which are key databases but within Kew as well as being accessed by hundreds of thousands of users worldwide through their respective websites.
A multi-disciplinary team responsible for providing software and content for PoWO, and the development of Kew's names and taxa systems using their technical skills and domain knowledge.
Responsible for the delivery of the Plant and Fungal Trees of Life (PAFTOL) bioinformatics work package including the PAFTOL website and explorer.
Learn more here about the interesting and diverse projects of Kew's Biodiversity Informatics and Spatial Analysis department.
Search for staff of Kew's Biodiversity Informatics and Spatial Analysis department as well as other Kew Science staff.
Learn more about Kew's strategic 2020 output Plants of the World Online.