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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. He publishes a series of pieces on the crisis of science and the post-truth discussion in the online journal The Conversation. At present he is adjoint professor at the Centre for the Study of the Sciences and the Humanities (SVT) - University of Bergen (UIB). He lives and works in Barcelona , and visiting fellow at Open Evidence Research, Universitat Oberta de Catalunya (UOC), Barcelona.
- 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.
- 2020. Pandemie post-normali. Perché CoViD-19 richiede un nuovo approccio alla scienza. Recenti Progressi in Medicina. 202-204.
- 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.
- 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.
See Andrea Saltelli on ORCID
See Andrea Saltelli on Google Scholar