All Stories

  1. What did COVID‐19 really teach us about science, evidence and society?
  2. What can mathematical modelling contribute to a sociology of quantification?
  3. Impact assessment culture in the European Union. Time for something new?
  4. The more things change, the more they stay the same: promises of bioeconomy and the economy of promises
  5. The Challenge of Quantification: An Interdisciplinary Reading
  6. Unpacking the modelling process via sensitivity auditing
  7. Models with higher effective dimensions tend to produce more uncertain estimates
  8. Smashing the glasshouse. Diminishing the prestige of measures of higher education
  9. The delusive accuracy of global irrigation water withdrawal estimates
  10. Improving the reliability of cohesion policy databases
  11. Changes in the Global Competitiveness Index 4.0 Methodology: The Improved Approach of Competitiveness Benchmarking
  12. Science, the endless frontier of regulatory capture
  14. Sensitivity analysis: A discipline coming of age
  15. A critical look at the opening of Central and Eastern European countries to free trade.
  16. Irrigated areas drive irrigation water withdrawals
  17. Variable Selection in Regression Models Using Global Sensitivity Analysis
  18. Is VARS more intuitive and efficient than Sobol’ indices?
  19. Science, the Endless Frontier of Regulatory Capture
  20. Why do we urgently need an ethics of quantification.
  21. Pandemic politics highlight how predictions need to be transparent and humble.
  22. A sensitivity analysis of the PAWN sensitivity index
  23. Current Models Underestimate Future Irrigated Areas
  24. The technique is never neutral. How methodological choices condition the generation of narratives for sustainability
  25. Ethics of quantification: illumination, obfuscation and performative legitimation
  26. Making Composite Indicators more open.
  27. Technoscience, policy and the new media. Nexus or vortex?
  28. Pandemic Luhmann
  29. Ethics of quantification or quantification of ethics?
  30. A short comment on statistical versus mathematical modelling
  31. Silver as a Constraint for a Large-Scale Development of Solar Photovoltaics? Scenario-Making to the Year 2050 Supported by Expert Engagement and Global Sensitivity Analysis
  32. Save science from itself
  33. Why are so many published sensitivity analyses false?
  34. Cargo-cult statistics and scientific crisis
  35. Science’s crisis as a political battleground? Trump’s war on science & its long-lasting consequences
  36. Fixing statistics is more than a technical issue
  37. What is science’s crisis really about?
  38. Problematic quantifications - an example from food security studies.
  39. Do PISA data justify PISA-based education policy?
  40. What is wrong with evidence based policy, and how can it be improved?
  41. Post-normal Institutional Identities: Quality Assurance, Reflexivity and Ethos of Care
  42. Weights and Importance in Composite Indicators: Mind the Gap
  43. Young statistician, you shall live in adventurous times
  44. New narratives for innovation
  45. Questioning the Ecological Footprint
  46. Climate costing is politics not science
  47. Trends in sensitivity analysis practice in the last decade
  48. Policy: The future of public trust in science
  49. Introduction to Sensitivity Analysis
  50. Weights and Importance in Composite Indicators: Mind the Gap
  51. Footworking in circles
  52. Footprints to nowhere
  53. Sensitivity Analysis
  54. An estimate of potential threats levels to soil biodiversity in EU
  55. What do I make of your latinorumc Sensitivity auditing of mathematical modelling
  56. Random and quasi-random designs in variance-based sensitivity analysis for partially ordered sets
  57. Ratings and rankings: voodoo or science?
  58. Update 1 of: Sensitivity Analysis for Chemical Models
  59. Rankings and Ratings: Instructions for Use
  60. Partial order investigation of multiple indicator systems using variance-based sensitivity analysis
  61. From screening to quantitative sensitivity analysis. A unified approach
  62. Rickety numbers: Volatility of university rankings and policy implications
  63. Sensitivity Analysis
  64. How to avoid a perfunctory sensitivity analysis
  65. Indicators for European Union Policies. Business as Usual?
  66. Sensitivity analysis didn’t help. A practitioner’s critique of the Stern review
  67. Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index
  68. Editorial
  69. How to avoid a perfunctory sensitivity analysis
  70. Sensitivity Analysis for Hydraulic Models
  71. Preface
  72. Editorial
  73. Screening important inputs in models with strong interaction properties
  74. Recommended practices in global sensitivity analysis
  75. Global Sensitivity Analysis: The Primer by Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola
  76. Sensitivity analysis and uncertainty estimation for tephra dispersal models
  77. Expert Panel Opinion and Global Sensitivity Analysis for Composite Indicators
  78. Global Sensitivity Analysis. The Primer
  79. Settings and methods for global sensitivity analysis - a short guide
  80. An effective screening design for sensitivity analysis of large models
  81. Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index
  82. Uncertainty, sensitivity analysis and the role of data based mechanistic modeling in hydrology
  83. The role of sensitivity analysis in ecological modelling
  84. Sensitivity analysis practices: Strategies for model-based inference
  85. Hydrocarbon exploration risk evaluation through uncertainty and sensitivity analyses techniques
  86. Sensitivity Analysis of Model Output: SAMO 2004
  87. Composite Indicators between Analysis and Advocacy
  88. Local and Global Uncertainty Analyses of a Methane Flame Model
  89. Statistics, Knowledge and Policy
  90. Sensitivity Analysis for Chemical Models
  91. Handbook on Constructing Composite Indicators
  92. Sensitivity Analysis for Chemical Models
  93. Sensitivity Analysis in Practice, Andrea Saltelli
  94. Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators
  95. The Precautionary Principle: Implications for Risk Management Strategies
  96. Uncertainty and global sensitivity analysis of road transport emission estimates
  97. Global Uncertainty and Sensitivity Analysis and Neighbourhoods
  98. SAMO 2001: methodological advances and innovative applications of sensitivity analysis
  99. Comparison of global sensitivity analysis techniques and importance measures in PSA
  100. On the Relative Importance of Input Factors in Mathematical Models
  101. Sensitivity Analysis for Importance Assessment
  102. Making best use of model evaluations to compute sensitivity indices
  103. Sensitivity Analysis in Practice
  104. Can global sensitivity analysis steer the implementation of models for environmental assessments and decision-making?
  105. An Efficient Approach to Deal with the Curse of Dimensionality in Sensitivity Analysis Computations
  106. Sensitivity analysis in model calibration: GSA-GLUE approach
  107. Design of surface Brillouin scattering experiments by sensitivity analysis
  108. Sensitivity Anaysis as an Ingredient of Modeling
  109. Sensitivity and uncertainty analysis in spatial modelling based on GIS
  110. Correction to “Sensitivity analysis: Could better methods be used?” by Andrea Saltelli
  111. A role for sensitivity analysis in presenting the results from MCDA studies to decision makers
  112. A role for sensitivity analysis in presenting the results from MCDA studies to decision makers
  113. Preface
  114. Scenario and parametric uncertainty in GESAMAC: A methodological study in nuclear waste disposal risk assessment
  115. Tackling quantitatively large dimensionality problems
  116. Sensitivity analysis: Could better methods be used?
  117. A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output
  118. A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output
  119. Presenting Results from Model Based Studies to Decision-Makers: Can Sensitivity Analysis be a Defogging Agent?
  120. Presenting Results from Model Based Studies to Decision-Makers: Can Sensitivity Analysis Be a Defogging Agent?
  121. An alternative way to compute Fourier amplitude sensitivity test (FAST)
  122. Sensitivity analysis of an environmental model: an application of different analysis methods
  123. Guest editorial: The role of sensitivity analysis in the corroboration of models and itslink to model structural and parametric uncertainty
  124. Sensitivity measures,anova-like Techniques and the use of bootstrap
  125. Editorial
  126. Sensitivity analysis of model output
  127. Importance measures in global sensitivity analysis of nonlinear models
  128. Use of Sobol's Quasirandom Sequence Generator for Integration of Modified Uncertainty Importance Measure
  129. Sensitivity analysis of model output. Performance of the iterated fractional factorial design method
  130. Uncertainty and sensitivity analyses of OH-initiated dimethyl sulphide (DMS) oxidation kinetics
  131. About the use of rank transformation in sensitivity analysis of model output
  132. Use of Sobol's Quasirandom Sequence Generator for Integration of Modified Uncertainty Importance Measure.
  133. Sensitivity analysis of model output
  134. Cloud Condensation Nuclei from Dimethyl Sulphide in the Natural Marine Boundary Layer: Remote VS. In-Situ Production
  135. Modelling of the Sulphur Cycle. From DMS to Cloud Particles
  136. Modelling formation and growth of H2SO4-H2O aerosols: Uncertainty analysis and experimental evaluation
  137. Trace element reference values in tissues from inhabitants of the European Community. II. Examples of strategy adopted and trace element analysis of blood, lymph nodes and cerebrospinal fluid of Italian subjects
  138. Sensitivity analysis for model output
  139. Non-parametric statistics in sensitivity analysis for model output: A comparison of selected techniques
  140. Techniques for Uncertainty and Sensitivity Analyses
  141. The Role of the Code Intercomparison Exercises: Activities of The Probabilistic System Assessment Codes Group
  142. Risk Analysis in Nuclear Waste Management
  143. Neptunium migration in oxidizing clayey sand
  144. About the modelling of transport with chemical reaction
  145. Americium Filtration in Glauconitic Sand Columns
  146. An Experimental and Modelling Approach of the Near Field Release and Transport Processes
  147. An assessment of carburization-decarburizatton behaviour of Fe-9Cr-Mo steels in a sodium environment
  148. Modelling for The Carburization of The Alloy - 800 in Liquid Sodium
  149. Observations on the structural characterization of the dimer
  150. Susceptibility to the Intergranular Corrosion of Alloy 800
  151. About the corrosion mechanism for the stainless steel exposed in high temperature flowing sodium by a computer simulation approach
  152. Transfer rate of K+ ions from aqueous picrate solutions into 1,2 dichloroethane solutions of the macrocyclic polyether dibenzo-18-crown-6
  153. Transfer rate of some tervalent cations in the biphasic system HClO4, water-dinonylnaphthalenesulfonic acid, toluene—I
  154. Creating Composite Indicators with DEA and Robustness Analysis: The Case of the Technology Achievement Index
  155. Derivation of Elastic Properties of Thin Films from Measured Acoustic Velocities