This is a non-exhaustive list of my publications (it takes a while to add each one). See my Researchgate profile and Google Scholar for a more complete list.
COINr: An R package for developing composite indicators
A peer-reviewed overview of my R package for constructing and analysing composite indicators.
The Water-Energy-Food Nexus Index: A Tool to Support Integrated Resource Planning, Management and Security
Construction of an indicator framework for the Water-Energy-Food Nexus.
Exploring the link between Asia and Europe connectivity and sustainable development
Building an indicator framework for mapping monitoring internation connections between Asian and European countries, linking to sustainable development.
Polynomial chaos expansion for sensitivity analysis of model output with dependent inputs
Performing sensitivity analysis with dependent input variables, using a Bayesian polynomial chaos emulator. Technique is applied to a drainage model.
A framework based on statistical analysis and stakeholders’ preferences to inform weighting in composite indicators
Exploring how composite indicator weights can be optimised using concepts from information theory.
A multidimensional high-resolution assessment approach to boost decentralised energy investments in Sub-Saharan Africa
Construction of an indicator framework for decentralised energy investments in Africa.
A comprehensive comparison of total-order estimators for global sensitivity analysis
A comprehensive comparison of sensitivity analysis estimators using a metafunction approach.
Variable Selection in Regression Models Using Global Sensitivity Analysis
Using sensitivity analysis metrics to perform econometric model selection.
The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support
A position paper by leading researchers in sensitivity analysis summarising the state of the field and looking forward to the future.
Wrapping up the Europe 2020 strategy: A multidimensional indicator analysis
A composite indicator for monitoring the EU2020 strategy over a decade at national and regional level.
Metafunctions for benchmarking in sensitivity analysis
A novel approach to benchmarking sensitivity analysis approaches using highly flexible “metafunctions”.
Development of a bioeconomy monitoring framework for the European Union: An integrative and collaborative approach
Construction of a principled monitoring framework for the EU Bioeconomy Strategy.
The Use of Quantitative Methods in the Policy Cycle
Guidelines for quantitative methods and modelling for policy making.
Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices
A review of how sensitivity analysis is performed across many fields of science and engineering, and recommendations to improve.
Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost
A grouping approach for effective sensitivity analysis in high dimensions.
On the confidence bounds of Gaussian process NARX models and their higher-order frequency response functions
How to compute confidence intervals on frequency response functions using Gaussian processes.
The Water Retention Index: Using land use planning to manage water resources in Europe
A high resolution composite indicator for measuring water retention across Europe.
Sensitivity analysis approaches to high-dimensional screening problems at low sample size
Which sensitivity analysis approaches actually work when we have few model runs and in high dimensions? We find out…
Weights and importance in composite indicators: Closing the gap
Measuring the relation between indicators and a composite indicator using nonlinear approaches, and an optimisation method for tuning weights.
Bayesian Sensitivity Analysis of Flight Parameters in a Hard-Landing Analysis Process
A Bayesian sensitivity analysis of an engineering model of landing gear on a plane.
Climate Models As Economic Guides Scientific Challenge or Quixotic Quest?
We explore the issue of uncertainty in climate modelling.
Bayesian sensitivity analysis of bifurcating nonlinear models
Sensitivity analysis of bifurcating models using treed Gaussian processes.
Assessing the influence of climate model uncertainty on EU-wide climate change impact indicators
Investigating model uncertainty on climate change indicators using sensitivity analysis.
Bayesian sensitivity analysis of a nonlinear finite element model
Bayesian sensitivity analysis of a model of an airship.
On the identification of hysteretic systems. Part II: Bayesian sensitivity analysis and parameter confidence
We tackle the problem of system identification for hysteretic systems.
A comparison of two sampling methods for global sensitivity analysis
A comparison of Sobol' and Latin Supercube sampling.
Uncertainty Analysis of a Dynamic Model of a Novel Remotely Piloted Airship
Fluid-structure model of an airship and its sensitivity analysis.
Bayesian sensitivity analysis of a model of the aortic valve
Bayesian sensitivity analysis of a finite element model of the human heart valve, to better understand its failure.
Computational model of an infant brain subjected to periodic motion simplified modelling and Bayesian sensitivity analysis
Modelling an infant brain to better understand the cause of sudden infant death syndrome.