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Science’s credibility crisis: why it will get worse before it can get better, The Conversation, November 9, 2017.
Statistiche al tempo della crisi, Epidemiologia e Prevenzione (in Italian): 2017; 41 (3-4): 165-169.
Andrea Saltelli, A., and Lo Piano, S., 2017, Problematic quantifications: a critical appraisal of scenario making for a global ‘sustainable’ food production, Food Ethics, 1(2), p. 173–179.
William Becker , Paolo Paruolo, Michaela Saisana, Andrea Saltelli, Weights and Importance in Composite Indicators: Mind the Gap, in Handbook of Uncertainty Quantification, Editors: Roger Ghanem, David Higdon, Houman Owhadi, ISBN: 978-3-319-12384-4 (Print) 978-3-319-12385-1, pp 1187-1216.
on Research Gate.
International PISA tests show how evidence-based policy can go wrong, The Conversation, June 12, 2017
Andrea Saltelli, Silvio Funtowicz, 2017, What is science’s crisis really about? FUTURES, Volume 91, Pages 5-11, https://doi.org/10.1016/j.futures.2017.05.010
Forcing consensus is bad for science and society, The Conversation, May 11, 2017.
Andrea Saltelli, Daniel Albrecht, Stefano Tarantola and Federico Ferretti, 2017, A new sample-based algorithm to compute the total sensitivity index, arXiv:1703.05799 [stat.AP]
Luisa Araújo, Andrea Saltelli, Sylke V. Schnepf, 2017, Do PISA data justify PISA-based education policy?, International Journal of Comparative Education and Development, Volume 19, Issue 1, p. 1-17.
Scientists’ march on Washington is a bad idea – here’s why, The Conversation, March 8, 2017 7.54am GMT
Ângela Guimarães Pereira, Andrea Saltelli, 2017, Post-normal Institutional Identities: Quality Assurance, Reflexivity and Ethos of Care? Futures, DOI: http://dx.doi.org/10.1016/j.futures.2016.11.009
Andrea Saltelli, Mario Giampietro, 2017, What is wrong with evidence based policy, and how can it be improved? Futures, 91, 62-71.
A. Saltelli, Silvio Funtowicz, 2107, To tackle the post-truth world, science must reform itself, The Conversation, January 27
Republished on the Huffington Post.
Andrea Saltelli, 2016, "Young Statistician, You shall live adventurous times", SIGNIFICANCE (The Royal Statistical Society), December 2016, Volume 13, Issue 6, (pages 38–41)
Andrea Saltelli, Silvio Funtowicz, Science wars in the age of Donald Trump, November 16, 2016, The Conversation.
Andrea Saltelli, Science in crisis: from the sugar scam to Brexit, our faith in experts is fading, September 27, 2016, The Conversation.
Andrea Saltelli, and Silvio Funtowicz, “Science cannot solve these problems alone because it helped to create them in the first place”, The Guardian, July 14.
Extended version of the piece
Andrea Saltelli, Jerome R. Ravetz and Silvio Funtowicz, A new community for science, NEW SCIENTIST, issue 3079, p. 53, 22 June 2016.
Alessandro Galli , Mario Giampietro , Steve Goldfinger , Elias Lazarus , David Lin , Andrea Saltelli , Matthis Wackernagel , Felix Müller, 2016, Questioning the ecological footprint , Ecological Indicators, 69, 224–232.
Same paper on this web site.
Saltelli, A., Funtowicz, S., Giampietro, M., Sarewitz, D., Stark, P.B., van der Sluijs, J.P., 2016, Climate costing is politics not science, Nature, 14 April, 532, 177.
Ferretti, F., Saltelli A., Tarantola, S., 2016, Trends in Sensitivity Analysis practice in the last decade, to appear, Science of the Total Environment, special issue on Human and biota exposure.
William Becker, Paolo Paruolo, Andrea Saltelli, Exploring Hoover and Perez's experimental designs using global sensitivity analysis.
Ravetz, R. and Saltelli, A., 2015, Policy: The future of public trust in science, Nature, 524, p. 161.
Here in draft copy
Saltelli, A., Stark, P.B., Becker, W., and Stano, P. , 2015, Climate Models as Economic Guides. Scientific Challenge or Quixotic Quest? Issues in Science and Technology (IST), Volume XXXI Issue 3, Spring 2015.
Giampietro, M., and Saltelli, A., 2014, Footworking in Circles, Reply to Goldfinger at al. (2014) “Footprint Facts and Fallacies: A Response to Giampietro and Saltelli (2014) Footprints to nowhere”, Ecological Indicators, 46, 260–263.
Giampietro, M., and Saltelli, A., 2014, Footprints to nowhere, Ecological Indicators, 46, 610–621.
Saltelli, A., Funtowicz, S., 2014, When all models are wrong: More stringent quality criteria are needed for models used at the science-policy interface, Issues in Science and Technology, Winter 2014, 79-85.
Here at the journal's site.
Saltelli, A., Guimarães Pereira, Â., Van der Sluijs, J.P. and Funtowicz, S., 2013, ‘What do I make of your latinorum? Sensitivity auditing of mathematical modelling’, Int. J. Foresight and Innovation Policy, (9), 2/3/4, 213–234.
Paruolo, P., Saisana, A., Saltelli, A., 2013, Ratings and rankings: Voodoo or Science? Journal Royal Statistical Society A, 176 (3), 609–634.
Gardi, C., Jeffery, S. Saltelli, A., 2013, An Estimate of Potential Threats Levels to Soil Biodiversity in EU, 2012, Global Change Biology, 19(5), 1538–1548.
Saltelli, A., M. Ratto, S. Tarantola and F. Campolongo, 2012 (Perennial Review of the 2005 paper), Sensitivity Analysis for Chemical Models, Chemical Reviews, 112 (5), pp PR1–PR21.
Saisana, M., D’Hombres, B., and Saltelli, A., Rickety Numbers: Volatility of university rankings and policy implications, 2011, Research Policy, 40 165–177.
Saisana, M. and Saltelli, M., 2011, Rankings and ratings: instructions for use, Hague Journal on the Rule of Law. 3, 247-268.
Saltelli, A., D’Hombres, B., Jesinghaus, J., Manca, A., Mascherini, M., Nardo, M., and Saisana, M., 2011, Indicators for European Union Policies. Business as usual?, Social Indicators Research, 102(2), 197-207.
Campolongo F, Saltelli A, Cariboni, J, 2011, From screening to quantitative sensitivity analysis. A unified approach, Computer Physics Communication. 182 (4), pp. 978-988.
Saltelli, A., Annoni, P., 2010, How to avoid a perfunctory sensitivity analysis, Environmental Modeling and Software, 25, 1508-1517.
Saltelli, A., D’Hombres, B., Sensitivity analysis didn't help. A practitioner's critique of the Stern review, 2010, Global Environmental Change, 20, 298-302.
Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., Tarantola, S., 2010, Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index, Computer Physics Communications, 181, 259–270.
Saltelli, A., Campolongo, F. Cariboni, J., 2009, Screening important inputs in models with strong interaction properties, Reliability Engineering & System Safety 94 (7), 1149-1155.
J.Cariboni, Gatelli D., Liska R. and Saltelli A. (2007) The Role Of Sensitivity Analysis In Ecological Modelling, Ecological Modelling, 2007, 2 0 3, 167–182.
A. Saltelli, 2006, Composite indicators between analysis and advocacy, Social Indicators Research, 2007, 81 , 65-77.
Andrea Saltelli, Marco Ratto, Stefano Tarantola, Francesca Campolongo, Sensitivity analysis practices: Strategies for model-based inference, 2006, Reliability Engineering & System Safety, 91, (10-11), 1109-1125.
Saisana M., Saltelli A., Tarantola S. (2005) Uncertainty and Sensitivity analysis techniques as tools for the quality assessment of composite indicators, Journal of the Royal Statistical Society - A, 168(2), 307-323.
Toshimitsu HOMMA and Andrea SALTELLI, 2005, Use of Sobol's Quasirandom Sequence Generator for Integration of Modified Uncertainty Importance Measure, Journal of Nuclear Science and Technology, 32:11, 1164-1173.
Andrea Saltelli & Silvio Funtowicz (2005) The Precautionary Principle: Implications for Risk Management Strategies, Human and Ecological Risk Assessment: An International Journal, 11:1, 69-83.
Saltelli, A., 2004, Sensitivity analysis: Could better methods be used? JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 104, NO. D3, PAGES 3789-3793.
... and its errata corrige.
E. Borgonovo, G.E. Apostolakis, S. Tarantola,, A. Saltelli, 2003, Comparison of global sensitivity analysis techniques and importance measures in PSA, Reliability Engineering and System Safety 79, 175–185.
Saltelli A. Tarantola S., 2002, On the relative importance of input factors in mathematical models: safety assessment for nuclear waste disposal, Journal of American Statistical Association, 97 (459), 702-709.
Saltelli A., 2002, Making best use of model evaluations to compute sensitivity indices, Computer Physics Communications, 145, 280-297.
Saltelli A., 2002, Sensitivity Analysis for Importance Assessment, Risk Analysis, 22 (3), 1-12.
Saltelli, A., Tarantola, S. Campolongo, F., 2000, Sensitivity analysis as an ingredient of modelling, Statistical Science, 15(4), 377-395.
F. Campolongo , S. Tarantola, A. Saltelli, 1999, Tackling quantitatively large dimensionality problems, Computer Physics Communications, Volume 117, Issues 1–2, 1 March 1999, Pages 75–85.
Saltelli A., Tarantola S., and Chan K., 1999, A quantitative, model independent method for global sensitivity analysis of model output, Technometrics, 41(1), 39-56.
Saltelli A., and Bolado R., 1998, An alternative way to compute Fourier Amplitude Sensitivity Test (FAST), Computational Statistics and Data Analysis, 26(4) 445-460.
Archer, G., Saltelli, A. and Sobol', I. M., 1997, Sensitivity measures, ANOVA like techniques and the use of bootstrap. Journal of Statistical Computation and Simulation 58, 99-120.
Homma T., and Saltelli A., 1996 , Importance measures in global sensitivity analysis of model output, 1996, Reliability Engineering and System Safety, Vol. 52 No. 1 1-17.
Homma, T., Saltelli, A., 1995 ,Use of Sobol's Quasirandom Sequence Generator for Integration of Modified Uncertainty, Journal of NUCLEAR SCIENCE and TECHNOLOGY, 32 , pp.1164-1173.
Saltelli, A., Andres T.H., and Homma T., 1995, Sensitivity Analysis of model output. Performance of the Iterated Fractional Factorial Design (IFFD) method, Computational Statistics and Data Analysis, 20, 387-407.
A. Saltelli, I.M. Sobol’, About the use of rank transformation in sensitivity analysis of model output, Reliability Engineering and System Safety 50 (1995) 225–239.
Saltelli A., Andres T. H. and Homma T., 1993, Some new techniques in sensitivity analysis of model output, Computational Statistics and Data Analysis, 15, 211.
Saltelli, A. and T. Homma, Sensitivity analysis for model output, Performance of black-box techniques on three international benchmark exercises, Computational Statististics Data Analysis, 13 (1992) 73-94.
analysis, sensitivity auditing, science for policy, impact assessment