All Stories

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