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 lives and works in Barcelona. His most recent research includes a collaboration with Paul-Marie Boulanger on applications of the theories of Niklas Luhmann (1,2), and with Erik Reinert and other scholars on responsible modelling and the ethics of quantification.

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See my lectures - presentation

Video on Ethics of Quantification curated by the Open University of Catalonia, September 2021, Barcelona.

Video on Science and Regulatory Capture, May 2021, L'Aquila (I).

See Andrea Saltelli on ORCID

See Andrea Saltelli on Google Scholar

Academic article
  • Show author(s) 2021. The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. Environmental Modelling & Software. 21 pages.
  • Show author(s) 2020. The technique is never neutral. How methodological choices condition the generation of narratives for sustainability. Environmental Science and Policy. 87-98.
  • Show author(s) 2020. Technoscience, policy and the new media. Nexus or vortex? Futures: The journal of policy, planning and futures studies. 8 pages.
  • Show author(s) 2020. Quantitative Storytelling in the Making of a Composite Indicator. Social Indicators Research. 775-802.
  • Show author(s) 2020. Pandemie post-normali. Perché CoViD-19 richiede un nuovo approccio alla scienza. Recenti Progressi in Medicina. 202-204.
  • Show author(s) 2020. Ethics of quantification: illumination, obfuscation and performative legitimation. Humanities & Social Sciences Communications.
  • Show author(s) 2020. Ethics of quantification or quantification of ethics? Futures: The journal of policy, planning and futures studies. 11 pages.
  • Show author(s) 2020. Current models underestimate future irrigated areas. Geophysical Research Letters.
  • Show author(s) 2020. A sensitivity analysis of the PAWN sensitivity index. Environmental Modelling & Software. 1-7.
  • Show author(s) 2019. Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices. Environmental Modelling & Software. 29-39.
  • Show author(s) 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. Frontiers in Energy Research.
  • Show author(s) 2019. A short comment on statistical versus mathematical modelling. Nature Communications.
  • Show author(s) 2018. Why science’s crisis should not become a political battling ground. Futures: The journal of policy, planning and futures studies. 85-90.
  • Show author(s) 2017. What is wrong with evidence based policy, and how can it be improved? Futures: The journal of policy, planning and futures studies. 62-71.
  • Show author(s) 2017. What is science’s crisis really about? Futures: The journal of policy, planning and futures studies. 5-11.
  • Show author(s) 2017. Statistics at the time of the crisis [Statistiche al tempo della crisi]. Epidemiologia & Prevenzione. 165-169.
  • Show author(s) 2017. Problematic Quantifications: a Critical Appraisal of Scenario Making for a Global ‘Sustainable’ Food Production. Food Ethics. 173-179.
  • Show author(s) 2017. Post-normal institutional identities: Quality assurance, reflexivity and ethos of care. Futures: The journal of policy, planning and futures studies. 53-61.
  • Show author(s) 2017. Do PISA data justify PISA-based education policy? International Journal of Comparative Education and Development. 20-34.
Popular scientific article
  • Show author(s) 2019. Smettiamola di fingere: quantificare non è un’operazione neutrale (Stop pretending: quantification is never neutral). Epidemiologia & Prevenzione. 121-123.
  • Show author(s) 2018. Cargo-cult statistics and scientific crisis. Significance.
Feature article
  • Show author(s) 2020. Post-normal pandemics: Why COVID-19 requires a new approach to science. Blog of ESRC STEPS (Social, Technological and Environmental Pathways to Sustainability) Centre.
Letter to the editor
  • Show author(s) 2018. Fixing statistics is more than a technical issue. Nature. 281-281.
Academic chapter/article/Conference paper
  • Show author(s) 2017. Introduction to Sensitivity Analysis. 20 pages.
  • Show author(s) 2020. Sustainable development goals - discussion.
Article in business/trade/industry journal
  • Show author(s) 2020. Five ways to ensure that models serve society: a manifesto, . Nature. 482-484.
  • Show author(s) 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. Nature. 481-484.

More information in national current research information system (CRIStin)