CDE Webinar – Tom Andersson, Tackling diverse environmental prediction tasks with neural processes

Tom is an ML Research Scientist at the British Antarctic Survey (BAS) AI Lab, where he researches and develops ML systems for monitoring and adapting to climate change. His work currently focusses on the application and implementation of neural processes in environmental sciences. Tom has used uncertainty quantification, interpretability, and active learning methods to build […]

CDE Webinar – Dr Tom August, AI for on the ground biodiversity monitoring

Tom August is a computational ecologist at the UK Centre for Ecology and Hydrology. His research focuses on the use of technology to better our understanding of biodiversity, both through innovative data collection methods and engaging communications. Tom comes from a background in field and applied ecology, now focussing on applying AI methods to improve […]

CDE Webinar – Dr Michael Pocock and team. The DECIDE Project – Precision Citizen Science: Co-designing adaptive sampling to optimise biodiversity

Decide stands for ‘Delivering Enhanced Biodiversity Information with Adaptive Citizen Science and Intelligent Digital Engagements’. The project concerns Precision Citizen Science: Co-designing adaptive sampling to optimise biodiversity On Friday 3rd February 2023, we were pleased to welcome Dr Michael Pocock, UKCEH (PI); Dr Tom August, Computational Ecologist, UKCEH; Dr Susan Jarvis, Quantitative Ecologist, UKCEH; Dr […]