Andrea Saltelli er en italiensk forsker som har arbeidet innen fagområder som fysisk kjemi, miljøvitenskap, anvendt statistikk, konsekvensutredning og vitenskap for politikkutvikling.

Hans hovedfokus ligger på sensitivitetsanalyse av modellutdata; et fagfelt der statistiske verktøy brukes til å tolke resultatene fra matematiske eller datagenererte modeller, og såkalt "sensitivity auditing", en utvidelse av sensitivitetsanalyse som omfatter hele prosessen med å samle inn dokumentasjon til bruk i politikkutvikling.

Andrea har tidligere arbeidet ved Europakommisjonen der han ledet en enhet for økonometri og anvendt statistikk fra 2005 til 2015. Fra november 2016 til juni 2020 var han forsker ved Senter for vitenskapsteori (SVT) ved Universitetet i Bergen (UIB). Han er for tiden gjesteforsker ved SVT og Institutt for kognitiv vitenskap og teknologi ved Det italienske forskningsrådet (CNR), og akademisk veileder ved UPF Barcelona School of Management.

Hans mest nylige forskningsarbeider har tatt for seg sensitivitetsanalyse og "sensitivity auditing", vitenskapens reproduksjonskrise, konsekvensutredning, kvantifiseringsetikk, regulatorisk fangst (regulatory capture), rangeringer i høyere utdanning, vitenskapens integritet og post-sannhetsdiskusjonen. Sommeren 2023 ble boken "The Politics of Modelling, Numbers Between Science and Policy” publisert av Oxford University Press, der han bidro som redaktør og forfatter.

Andrea underviser i sensitivitetsanalyse, "sensitivity auditing", vitenskapens integritet og kvantifiseringsetikk.

Vitenskapelig artikkel

• Marta Kuc‑Czarnecka; Samuele Lo Piano; Andrea Saltelli (2020). Quantitative Storytelling in the Making of a Composite Indicator. (ekstern lenke)
• Paolo Vineis; Monica Di Fiore; Tommaso Portaluri et al. (2021). The Immunity Capital. (ekstern lenke)
• Arnald Puy Maeso; Pierfrancesco Beneventano; Simon A. Levin et al. (2022). Models with higher effective dimensions tend to produce more uncertain estimates. (ekstern lenke)
• Andrea Saltelli; Arnald Puy (2023). What can mathematical modelling contribute to a sociology of quantification?. (ekstern lenke)
• Arnald Puy Maeso; Samuele Lo Piano; Andrea Saltelli (2020). A sensitivity analysis of the PAWN sensitivity index. (ekstern lenke)
• 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. (ekstern lenke)
• Andrea Saltelli (2018). Why science’s crisis should not become a political battling ground. (ekstern lenke)
• Andrea Saltelli; Marta Kuc-Czarnecka; Samuele Lo Piano et al. (2023). Impact assessment culture in the European Union. Time for something new?. (ekstern lenke)
• Andrea Saltelli; Anthony Jakeman; Saman Razavi et al. (2021). Sensitivity analysis: A discipline coming of age. (ekstern lenke)
• Andrea Saltelli; Mario Giampietro (2017). What is wrong with evidence based policy, and how can it be improved?. (ekstern lenke)
• Samuele Lo Piano; Máté János Lőrincz; Arnald Puy et al. (2023). Unpacking the modeling process for energy policy making. (ekstern lenke)
• Andrea Saltelli; Philip B. Stark (2017). Statistics at the time of the crisis [Statistiche al tempo della crisi]. (ekstern lenke)
• Andrea Saltelli; Paul-Marie Boulanger (2020). Technoscience, policy and the new media. Nexus or vortex?. (ekstern lenke)
• Andrea Saltelli; Silvio Oscar Funtowicz (2017). What is science’s crisis really about?. (ekstern lenke)
• Kasper P. Kepp; Preben Aavitsland; Marcel Ballin et al. (2024). Panel stacking is a threat to consensus statement validity. (ekstern lenke)
• Samuele Lo Piano; Andrea Saltelli (2025). Energy policy-making in the European Union between past and present. (ekstern lenke)
• Samuele Lo Piano; Emanuele Borgonovo; Arnald Puy Maeso et al. (2022). Improving the reliability of cohesion policy databases. (ekstern lenke)
• Arnald Puy; Pamphile Roy; Andrea Saltelli (2024). Discrepancy Measures for Global Sensitivity Analysis. (ekstern lenke)
• Arnald Puy Maeso; Bruce Lankford; Jonas Meier et al. (2022). Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies. (ekstern lenke)
• William Becker; Paolo Paruolo; Andrea Saltelli (2021). Variable Selection in Regression Models Using Global Sensitivity Analysis. (ekstern lenke)
• 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. (ekstern lenke)
• Arnald Puy Maeso; Samuele Lo Piano; Andrea Saltelli (2021). Is VARS more intuitive and efficient than Sobol’ indices?. (ekstern lenke)
• 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. (ekstern lenke)
• David Waltner-Toews; Annibale Biggeri; Bruna De Marchi et al. (2020). Pandemie post-normali. Perché CoViD-19 richiede un nuovo approccio alla scienza. (ekstern lenke)
• Andrea Saltelli; Samuele Lo Piano (2017). Problematic Quantifications: a Critical Appraisal of Scenario Making for a Global ‘Sustainable’ Food Production. (ekstern lenke)
• Andrea Saltelli (2019). A short comment on statistical versus mathematical modelling. (ekstern lenke)
• Lieke A. Melsen; Arnald Puy; Paul J. J. F. Torfs et al. (2025). The rise of the Nash-Sutcliffe efficiency in hydrology. (ekstern lenke)
• Annibale Biggeri; Andrea Saltelli (2021). The Strange Numbers of Covid-19. (ekstern lenke)
• Arnald Puy Maeso; William Becker; Samuele Lo Piano et al. (2022). A COMPREHENSIVE COMPARISON OF TOTAL-ORDER ESTIMATORS FOR GLOBAL SENSITIVITY ANALYSIS. (ekstern lenke)
• Samuele Lo Piano; Razi Sheikholeslami; Arnald Puy Maeso et al. (2022). Unpacking the modelling process via sensitivity auditing. (ekstern lenke)
• Andrea Saltelli; Samuele Lo Piano; Arnald Puy Maeso (2020). Current models underestimate future irrigated areas. (ekstern lenke)
• 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. (ekstern lenke)
• Monica Di Fiore; Marta Kuc-Czarnecka; Samuele Lo Piano et al. (2022). The Challenge of Quantification: An Interdisciplinary Reading. (ekstern lenke)
• Andrea Saltelli; Samuele Lo Piano (2018). Doing the Sum Right or the Right Sums? Techno-Optimist Numbers in Food Security Scenarios. (ekstern lenke)
• Siddharth Sareen; Andrea Saltelli; Kjetil Rommetveit (2020). Ethics of quantification: illumination, obfuscation and performative legitimation. (ekstern lenke)
• Stefano Tarantola; Federico Ferretti; Samuele Lo Piano et al. (2024). An annotated timeline of sensitivity analysis. (ekstern lenke)
• Andrea Saltelli (2020). Ethics of quantification or quantification of ethics?. (ekstern lenke)
• Angela Guimaraes Pereira; Andrea Saltelli (2017). Post-normal institutional identities: Quality assurance, reflexivity and ethos of care. (ekstern lenke)
• Andrea Saltelli; Arnald Puy; Monica Di Fiore (2024). Mathematical models: a state of exception. (ekstern lenke)
• Andrea Saltelli; Lieke A. Melsen; Arnald Puy (2025). Digital Twins of the Earth Between Vision and Fiction. (ekstern lenke)
• Andrea Saltelli (2025). Models and the common good. (ekstern lenke)
• Andrea Saltelli; Joachim P. Sturmberg; Daniel Sarewitz et al. (2023). What did COVID-19 really teach us about science, evidence and society?. (ekstern lenke)
• Andrea Saltelli; Gerd Gigerenzer; Mike Hulme et al. (2024). Bring digital twins back to Earth. (ekstern lenke)
• Saman Razavi; Anthony Jakeman; Andrea Saltelli et al. (2021). The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. (ekstern lenke)
• Marta Kuc-Czarnecka; Andrea Saltelli (2025). Ranking the rankers. An analysis of science-wide author databases of standardised citation indicators. (ekstern lenke)
• Andrea Saltelli; Ksenia Aleksankina; William Becker et al. (2019). Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices. (ekstern lenke)
• Andrea Saltelli (2023). What is Post-normal Science? A Personal Encounter. (ekstern lenke)
• Andrea Saltelli (2023). Teaching scientific research integrity: A case study. (ekstern lenke)
• Andrea Saltelli; Dorothy Jane Dankel; Monica Di Fiore et al. (2021). Science, the endless frontier of regulatory capture. (ekstern lenke)
• Arnald Puy; Ethan Bacon; Alba Carmona et al. (2025). Socio-environmental modeling shows physics-like confidence with water modeling surpassing it in numerical claims. (ekstern lenke)
• Luisa Araujo; Andrea Saltelli; Sylke V. Schnepf (2017). Do PISA data justify PISA-based education policy?. (ekstern lenke)

Konferanseposter

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

Vitenskapelig bokkapittel

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

Leksikonartikkel

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

Fagartikkel

• 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. (ekstern lenke)
• Andrea Saltelli; Jeroen P van der Sluijs; Samuele Lo Piano et al. (2020). Five ways to ensure that models serve society: a manifesto,. (ekstern lenke)

Leserbrev

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

Populærvitenskapelig artikkel

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

Fremhevet artikkel i media

• 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. (ekstern lenke)

Lederartikkel

• 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. (ekstern lenke)

Tidsskriftomtale

• 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. (ekstern lenke)

Rettelse i tidsskrift

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

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