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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. At present he is visiting researcher at Open Evidence Research, Universitat Oberta de Catalunya (UOC), Barcelona, and the Centre for the Study of the Sciences and the Humanities (SVT) - University of Bergen (UIB). He lives and works in Barcelona.
See Andrea Saltelli on ORCID
See Andrea Saltelli on Google Scholar
- 2020. The technique is never neutral. How methodological choices condition the generation of narratives for sustainability. Environmental Science and Policy. 87-98.
- 2020. Technoscience, policy and the new media. Nexus or vortex? Futures: The journal of policy, planning and futures studies. 8 pages.
- 2020. Quantitative Storytelling in the Making of a Composite Indicator. Social Indicators Research. 775-802.
- 2020. Pandemie post-normali. Perché CoViD-19 richiede un nuovo approccio alla scienza. Recenti Progressi in Medicina. 202-204.
- 2020. Five ways to ensure that models serve society: a manifesto, . Nature. 482-484.
- 2020. Ethics of quantiﬁcation: illumination, obfuscation and performative legitimation. Palgrave Communications.
- 2020. Ethics of quantification or quantification of ethics? Futures: The journal of policy, planning and futures studies. 11 pages.
- 2020. Current models underestimate future irrigated areas. Geophysical Research Letters.
- 2020. A sensitivity analysis of the PAWN sensitivity index. Environmental Modelling & Software.
- 2019. Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices. Environmental Modelling & Software. 29-39.
- 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.
- 2019. A short comment on statistical versus mathematical modelling. Nature Communications.
- 2018. Why science’s crisis should not become a political battling ground. Futures: The journal of policy, planning and futures studies. 85-90.
- 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.
- 2017. What is science’s crisis really about? Futures: The journal of policy, planning and futures studies. 5-11.
- 2017. Statistics at the time of the crisis [Statistiche al tempo della crisi]. Epidemiologia & Prevenzione. 165-169.
- 2017. Problematic Quantifications: a Critical Appraisal of Scenario Making for a Global ‘Sustainable’ Food Production. Food Ethics. 173-179.
- 2017. Post-normal institutional identities: Quality assurance, reflexivity and ethos of care. Futures: The journal of policy, planning and futures studies. 53-61.
- 2017. Do PISA data justify PISA-based education policy? International Journal of Comparative Education and Development. 20-34.
- 2019. Smettiamola di fingere: quantificare non è un’operazione neutrale (Stop pretending: quantification is never neutral). Epidemiologia & Prevenzione. 121-123.
- 2018. Cargo-cult statistics and scientific crisis. Significance.
- 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.
- 2018. Fixing statistics is more than a technical issue. Nature. 281-281.
- 2017. Introduction to Sensitivity Analysis. 20 pages.
- 2020. Sustainable development goals - discussion.
- 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.