Recent publications
Article
Tarantola, S, Ferretti, F, Piano, SL, Kozlova, M, Lachi, A, Rosati, R, Puy, A, Roy, P, Vannucci, G, Kuc-Czarnecka, M & Saltelli, A 2024, 'An annotated timeline of sensitivity analysis', Environmental Modelling and Software, vol. 174, 105977. https://doi.org/10.1016/j.envsoft.2024.105977
Puy, A, Roy, PT & Saltelli, A 2024, 'Discrepancy Measures for Global Sensitivity Analysis', Technometrics, pp. 1-11. https://doi.org/10.1080/00401706.2024.2304341
Saltelli, A, Kuc-Czarnecka, M, Lo Piano, S, János Lórincz, M, Olczyk, M, Puy, A, Reinert, E, Thor Smith, S & van der Sluijs, J 2023, 'Impact assessment culture in the European Union. Time for something new?', Environmental Science and Policy, vol. 142, pp. 99-111. https://doi.org/10.1016/j.envsci.2023.02.005
Di Fiore, M, Kuc-Czarnecka, M, Lo Piano, S, Puy, A & Saltelli, A 2023, 'The Challenge of Quantification: An Interdisciplinary Reading', Minerva, vol. 61, no. 1, pp. 53-70. https://doi.org/10.1007/s11024-022-09481-w
Lo Piano, S, Lőrincz, MJ, Puy, A, Pye, S, Saltelli, A, Smith, ST & van der Sluijs, J 2023, 'Unpacking the modeling process for energy policy making', Risk Analysis. https://doi.org/10.1111/risa.14248
Saltelli, A & Puy, A 2023, 'What can mathematical modelling contribute to a sociology of quantification?', Humanities and Social Sciences Communications, vol. 10, no. 1, 213. https://doi.org/10.1057/s41599-023-01704-z
Puy, A, Becker, W, Lo Piano, S & Saltelli, A 2022, 'A comprehensive comparison of total-order estimators for global sensitivity analysis', International Journal for Uncertainty Quantification, vol. 12, no. 2, pp. 1-18. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2021038133
Piano, SL, Borgonovo, E, Puy, A, Saltelli, A, Walsh, J, Vidoni, D & Savona, R (ed.) 2022, 'Improving the reliability of cohesion policy databases', PLOS One, vol. 17, no. 4, e0266823. https://doi.org/10.1371/journal.pone.0266823
Puy, A, Beneventano, P, Levin, S, Lo Piano, S, Portaluri, T & Saltelli, A 2022, 'Models with higher effective dimensions tend to produce more uncertain estimates', Science Advances, vol. 8, no. 42, eabn9450, pp. eabn9450. https://doi.org/10.1126/sciadv.abn9450
Comment/debate
Puy, A, Massimi, M, Lankford, B & Saltelli, A 2023, 'Irrigation modelling needs better epistemology', Nature Reviews Earth & Environment. https://doi.org/10.1038/s43017-023-00459-0
Puy, A, Sheikholeslami, R, Gupta, HV, Hall, JW, Lankford, B, Piano, SL, Meier, J, Pappenberger, F, Porporato, A, Vico, G & Saltelli, A 2022, 'The delusive accuracy of global irrigation water withdrawal estimates', Nature Communications, vol. 13, no. 1, 3183. https://doi.org/10.1038/s41467-022-30731-8
Entry for encyclopedia/dictionary
Saltelli, A, Puy, A & Piano, SL 2023, Sensitivity Analysis. in E Padilla Rosa & J Ramos-Martín (eds), Elgar Encyclopedia of Ecological Economics . Elgar Encyclopedias in Economics and Finance series, Edward Elgar Publishing Ltd., pp. 460-466. https://doi.org/10.4337/9781802200416.ch79
Saltelli, A, Piano, SL & Puy, A 2023, Sensitivity Auditing. in E Padilla-Rosa & J Ramos-Martín (eds), Elgar Encyclopedia of Ecological Economics . Elgar Encyclopedias in Economics and Finance series, Edward Elgar Publishing Ltd., pp. 467-471. https://doi.org/10.4337/9781802200416.ch80
Letter
Puy, A, Lankford, B, Meier, J, Kooij, SVD & Saltelli, A 2022, 'Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies', Environmental Research Letters, vol. 17, no. 4, 044014. https://doi.org/10.1088/1748-9326/ac5768
Preprint
Puy, A & Saltelli, A 2022 'Mind the hubris in mathematical modeling'. https://doi.org/10.48550/arXiv.2207.12230
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