New Mathematics

Evidence Based Decisions for UK Landscapes – The Isaac Newton Institute
EnsemblES – Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models
Heterogeneity and complexity in collaborative biosecurity schemes
Explainable AI for UK agricultural land use decision-making
Landscapes For Sequestering Carbon: a dynamic marginal abatement cost curve approach with Bayesian spatio-temporal modelling
Quantifying uncertainty in the predictions of complex process-based models
Issues of Uncertainty and Scale in Derived Products
Assessing Statistical models of Temporary River Intermittence for Decision makers (ASTRID)
Probabilistic drought Risk Analysis for FORested landscapes (PRAFOR)
Statistical inference and uncertainty quantification for complex process-based models using multiple data sets’
Developing a statistical methodology for the assessment and management of peatland (StAMP)
Integrating new statistical frameworks into eDNA survey and analysis at the landscape scale
ADVANCES (ADVancing Analysis of Natural Capital in LandscapE DecisionS)