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Presenter: Scott Hosking, Turing Fellow & British Antarctic Survey
Abstract:The Data Science for Science and Humanities research programme at The Alan Turing Institute, UK, aims to develop AI methodologies that can be applied across all science domains. In this talk I will highlight a new open-source toolkit we are developing, scivision, which aims to facilitate collaborations between data owners and algorithm developers, and help users extract understanding from the range of 2D and 3D imagery. I will also present three ongoing research projects led by the Turing which are actively using the scivision toolkit, these projects are: (i) environmental monitoring; (ii) climate and agriculture; and (iii) molecular structures.
Scott Hosking is an Environmental Data Scientist, the Co-Leader of the Artificial Intelligence (AI) Lab at the British Antarctic Survey (BAS), and a Senior Research Fellow at The Alan Turing Institute. He is also a Co-Director for the University of Cambridge and BAS Centre for Doctoral Training (CDT) in the Application of AI to the study of Environmental Risks (AI4ER).