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Science Classification: Grants and fellowships can have their funding split across several science classifications and financial years. The list below identifies how the funding is divided for this award.


Grant Reference: NE/Y003675/1

Title: Bayesian Machine Learning as a tool for Climate Scientists: An In-Person Workshop at the University of Cambridge

Total value: £41,412

ENRIsFYValue
Environmental Risks and Hazards2023£15,530
Environmental Risks and Hazards2024£5,177
Global Change2023£15,530
Global Change2024£5,177
Science AreaFYValue
Atmospheric2023£6,212
Atmospheric2024£2,071
Earth2023£6,212
Earth2024£2,071
Freshwater2023£6,212
Freshwater2024£2,071
Marine2023£6,212
Marine2024£2,071
Terrestrial2023£6,212
Terrestrial2024£2,071
Science TopicFYValue
Applied Statistics2023£0
Applied Statistics2024£0
Artificial Intelligence2023£10,871
Artificial Intelligence2024£3,624
Bayesian Methods2023£0
Bayesian Methods2024£0
Climate & Climate Change2023£9,318
Climate & Climate Change2024£3,106
Curve Fitting2023£0
Curve Fitting2024£0
Data Exploration2023£0
Data Exploration2024£0
Design of Experiments2023£0
Design of Experiments2024£0
Kernel Mathods2023£0
Kernel Mathods2024£0
Machine Learning (AI)2023£0
Machine Learning (AI)2024£0
Spatial Statistics2023£0
Spatial Statistics2024£0
Statistical Uncertainty2023£0
Statistical Uncertainty2024£0
Statistics & Appl. Probability2023£10,871
Statistics & Appl. Probability2024£3,624

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