Andrea Saltelli has worked on physical chemistry, environmental sciences, applied statistics, impact assessment and science for policy. His main disciplinary focus is on sensitivity analysis of model output, a discipline where statistical tools are used to interpret the output from mathematical or computational models, and on sensitivity auditing, an extension of sensitivity analysis to the entire evidence-generating process in a policy context.

He has worked at the European Commission, leading between 2005 and 2015 a unit of econometrics and applied statistics. From November 2016 till June 2020 adjunct professor at the Centre for the Study of the Sciences and the Humanities (SVT) - University of Bergen (UIB). He is presently visiting researcher at UIB-SVT, associate researcher at Institute for Cognitive Sciences and Technologies of the Italian National Research Council (CNR) and academic counsellor at UPF Barcelona School of Management.

His most recent papers have tackled sensitivity analysis and auditing, science’s reproducibility crisis, impact assessment, ethics of quantification, regulatory capture, rankings of higher education, science's integrity and the post-truth discussion. In summer 2023 a book entitled The Politics of Modelling, Numbers Between Science and Policy, was published by Oxford University Press, where he contributed as editor and author.

Andrea gives courses in sensitivity analysis, sensitivity auditing, science integrity, and ethics of quantification.

I give some lessons in Course MNF990, Theory of Science and Ethics at the Faculty of Mathematics and Natural Sciences, University of Bergen, and I teach Scientific integrity, at the Training for the Doctoral INPhINIT Fellowship, SIRIS Academic and “la Caixa” in Girona (ES).

Academic article

• Marta Kuc‑Czarnecka; Samuele Lo Piano; Andrea Saltelli (2020). Quantitative Storytelling in the Making of a Composite Indicator. (external link)
• Paolo Vineis; Monica Di Fiore; Tommaso Portaluri et al. (2021). The Immunity Capital. (external link)
• Arnald Puy Maeso; Pierfrancesco Beneventano; Simon A. Levin et al. (2022). Models with higher effective dimensions tend to produce more uncertain estimates. (external link)
• Andrea Saltelli; Arnald Puy (2023). What can mathematical modelling contribute to a sociology of quantification?. (external link)
• Arnald Puy Maeso; Samuele Lo Piano; Andrea Saltelli (2020). A sensitivity analysis of the PAWN sensitivity index. (external link)
• Samuele Lo Piano; Andrea Saltelli; Jeroen P van der Sluijs (2019). 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. (external link)
• Andrea Saltelli (2018). Why science’s crisis should not become a political battling ground. (external link)
• Andrea Saltelli; Marta Kuc-Czarnecka; Samuele Lo Piano et al. (2023). Impact assessment culture in the European Union. Time for something new?. (external link)
• Andrea Saltelli; Anthony Jakeman; Saman Razavi et al. (2021). Sensitivity analysis: A discipline coming of age. (external link)
• Andrea Saltelli; Mario Giampietro (2017). What is wrong with evidence based policy, and how can it be improved?. (external link)
• Samuele Lo Piano; Máté János Lőrincz; Arnald Puy et al. (2023). Unpacking the modeling process for energy policy making. (external link)
• Andrea Saltelli; Philip B. Stark (2017). Statistics at the time of the crisis [Statistiche al tempo della crisi]. (external link)
• Andrea Saltelli; Paul-Marie Boulanger (2020). Technoscience, policy and the new media. Nexus or vortex?. (external link)
• Andrea Saltelli; Silvio Oscar Funtowicz (2017). What is science’s crisis really about?. (external link)
• Kasper P. Kepp; Preben Aavitsland; Marcel Ballin et al. (2024). Panel stacking is a threat to consensus statement validity. (external link)
• Samuele Lo Piano; Andrea Saltelli (2025). Energy policy-making in the European Union between past and present. (external link)
• Samuele Lo Piano; Emanuele Borgonovo; Arnald Puy Maeso et al. (2022). Improving the reliability of cohesion policy databases. (external link)
• Arnald Puy; Pamphile Roy; Andrea Saltelli (2024). Discrepancy Measures for Global Sensitivity Analysis. (external link)
• Arnald Puy Maeso; Bruce Lankford; Jonas Meier et al. (2022). Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies. (external link)
• William Becker; Paolo Paruolo; Andrea Saltelli (2021). Variable Selection in Regression Models Using Global Sensitivity Analysis. (external link)
• Samuele Lo Piano; Federico Ferretti; Arnald Puy Maeso et al. (2021). Variance-based sensitivity analysis: The quest for better estimators and designs between explorativity and economy. (external link)
• Arnald Puy Maeso; Samuele Lo Piano; Andrea Saltelli (2021). Is VARS more intuitive and efficient than Sobol’ indices?. (external link)
• Andrea Saltelli; Lorenzo Benini; Silvio Oscar Funtowicz et al. (2020). The technique is never neutral. How methodological choices condition the generation of narratives for sustainability. (external link)
• David Waltner-Toews; Annibale Biggeri; Bruna De Marchi et al. (2020). Pandemie post-normali. Perché CoViD-19 richiede un nuovo approccio alla scienza. (external link)
• Andrea Saltelli; Samuele Lo Piano (2017). Problematic Quantifications: a Critical Appraisal of Scenario Making for a Global ‘Sustainable’ Food Production. (external link)
• Andrea Saltelli (2019). A short comment on statistical versus mathematical modelling. (external link)
• Lieke A. Melsen; Arnald Puy; Paul J. J. F. Torfs et al. (2025). The rise of the Nash-Sutcliffe efficiency in hydrology. (external link)
• Annibale Biggeri; Andrea Saltelli (2021). The Strange Numbers of Covid-19. (external link)
• Arnald Puy Maeso; William Becker; Samuele Lo Piano et al. (2022). A COMPREHENSIVE COMPARISON OF TOTAL-ORDER ESTIMATORS FOR GLOBAL SENSITIVITY ANALYSIS. (external link)
• Samuele Lo Piano; Razi Sheikholeslami; Arnald Puy Maeso et al. (2022). Unpacking the modelling process via sensitivity auditing. (external link)
• Andrea Saltelli; Samuele Lo Piano; Arnald Puy Maeso (2020). Current models underestimate future irrigated areas. (external link)
• Andrea Saltelli; Ângela Guimarães Pereira; Jeroen P van der Sluijs et al. (2013). What do i make of your latinorum? Sensitivity auditing of mathematical modelling. (external link)
• Monica Di Fiore; Marta Kuc-Czarnecka; Samuele Lo Piano et al. (2022). The Challenge of Quantification: An Interdisciplinary Reading. (external link)
• Andrea Saltelli; Samuele Lo Piano (2018). Doing the Sum Right or the Right Sums? Techno-Optimist Numbers in Food Security Scenarios. (external link)
• Siddharth Sareen; Andrea Saltelli; Kjetil Rommetveit (2020). Ethics of quantification: illumination, obfuscation and performative legitimation. (external link)
• Stefano Tarantola; Federico Ferretti; Samuele Lo Piano et al. (2024). An annotated timeline of sensitivity analysis. (external link)
• Andrea Saltelli (2020). Ethics of quantification or quantification of ethics?. (external link)
• Angela Guimaraes Pereira; Andrea Saltelli (2017). Post-normal institutional identities: Quality assurance, reflexivity and ethos of care. (external link)
• Andrea Saltelli; Arnald Puy; Monica Di Fiore (2024). Mathematical models: a state of exception. (external link)
• Andrea Saltelli; Lieke A. Melsen; Arnald Puy (2025). Digital Twins of the Earth Between Vision and Fiction. (external link)
• Andrea Saltelli (2025). Models and the common good. (external link)
• Andrea Saltelli; Joachim P. Sturmberg; Daniel Sarewitz et al. (2023). What did COVID-19 really teach us about science, evidence and society?. (external link)
• Andrea Saltelli; Gerd Gigerenzer; Mike Hulme et al. (2024). Bring digital twins back to Earth. (external link)
• Saman Razavi; Anthony Jakeman; Andrea Saltelli et al. (2021). The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. (external link)
• Marta Kuc-Czarnecka; Andrea Saltelli (2025). Ranking the rankers. An analysis of science-wide author databases of standardised citation indicators. (external link)
• Andrea Saltelli; Ksenia Aleksankina; William Becker et al. (2019). Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices. (external link)
• Andrea Saltelli (2023). What is Post-normal Science? A Personal Encounter. (external link)
• Andrea Saltelli (2023). Teaching scientific research integrity: A case study. (external link)
• Andrea Saltelli; Dorothy Jane Dankel; Monica Di Fiore et al. (2021). Science, the endless frontier of regulatory capture. (external link)
• Arnald Puy; Ethan Bacon; Alba Carmona et al. (2025). Socio-environmental modeling shows physics-like confidence with water modeling surpassing it in numerical claims. (external link)
• Luisa Araujo; Andrea Saltelli; Sylke V. Schnepf (2017). Do PISA data justify PISA-based education policy?. (external link)

Conference poster

• Dorothy Jane Dankel; Andrea Saltelli; Inger Elisabeth Måren et al. (2020). Sustainable development goals - discussion. (external link)

Academic book chapter

• Andrea Saltelli; Bertrand Iooss (2017). Introduction to Sensitivity Analysis. (external link)
• Giulia Vannucci; Paola Annoni; Andrea Saltelli (2025). Sensitivity Analysis. (external link)
• Andrea Saltelli (2022). L’incontro con la scienza post-normale. (external link)

Encyclopedia entry

• Andrea Saltelli; Jerome R. Ravetz (2023). Uncertainty, risk and ignorance. (external link)
• Andrea Saltelli; Samuele Lo Piano; Arnald Puy (2023). Sensitivity auditing. (external link)
• Andrea Saltelli; Monica Di Fiore (2023). Ethics of quantification. (external link)
• Andrea Saltelli; Arnald Puy; Samuele Lo Piano (2023). Sensitivity Analysis. (external link)

Professional article

• Carlos Moeda; Isabelle Vernos; Stephan Kuster et al. (2019). Views from a continent in flux. Nature asked nine leading Europeans to pick their top priority for science at this pivotal point. Love, money, and trust got most votes. (external link)
• Andrea Saltelli; Jeroen P van der Sluijs; Samuele Lo Piano et al. (2020). Five ways to ensure that models serve society: a manifesto,. (external link)

Letter to the editor

• Jerome Ravetz; Andrea Saltelli (2015). Policy: The future of public trust in science. (external link)
• Andrea Saltelli; Philip B. Stark (2018). Fixing statistics is more than a technical issue. (external link)

Popular science article

• Andrea Saltelli; Philip B. Stark (2018). Cargo-cult statistics and scientific crisis. (external link)
• Andrea Saltelli (2019). Smettiamola di fingere: quantificare non è un’operazione neutrale (Stop pretending: quantification is never neutral). (external link)

Media feature article

• Andrea Saltelli; Jeroen P van der Sluijs; Silvio Oscar Funtowicz et al. (2020). Post-normal pandemics: Why COVID-19 requires a new approach to science. (external link)

Editorial/Leader article

• Dennis Eversberg; Philip Koch; Rosa Lehmann et al. (2023). The more things change, the more they stay the same: promises of bioeconomy and the economy of promises. (external link)

Journal review

• Andrea Saltelli (2024). The Impossible Moderation of Pardo-Guerra. A Review of Juan Pablo Pardo-Guerra’s The Quantified Scholar. How Research Evaluation Transformed the British Social Sciences. (external link)

Journal corrigendum

• Andrea Saltelli (2024). Correction to: What is Post-normal Science? A Personal Encounter (Foundations of Science, (2023), 10.1007/s10699-023-09932-x). (external link)

See a complete overview of publications in Cristin.