- E-postandrea.saltelli@uib.no
- BesøksadresseParkveien 9Ida Bloms hus5007 Bergen
- PostadressePostboks 78055020 Bergen
Andrea Saltelli har jobbet med fysisk kjemi, miljøvitenskap, anvendt statistikk, konsekvensutredning og vitenskap for politikk. Hans hoveddisiplinære fokus er på sensitivitetsanalyse av modellutdata, en disiplin der statistiske verktøy brukes til å tolke utdata fra matematiske modller eller beregningsmodeller, og på sensitivity auditing, en utvidelse av sensitivitetsanalyse til hele bevisgenereringsprosessen i en politisk kontekst. Her kan du lese om en anvendelse av disse analyseverktøyene på vannsikkerhet.
Saltelli bor og jobber i Barcelona. Hans nyere forskning inkluderer et samarbeid med Paul-Marie Boulanger om anvendelser av teoriene til Niklas Luhmann (1,2), og med Erik Reinert og andre forskere om ansvarlig modellering og kvantifiseringsetikk. Et forskingsarbeid om det det postfaktuelle ble publisert med Dan Sarewitz i juni 2022. Han holder fram arbeidet med sensitivitetsanalyse med Arnald Puy, Samuele Lo Piano og andre.
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Sjå Saltelli sine førelesingar og presentasjonar her.
Andrea Saltelli på ORCID
Andrea Saltelli på Google Scholar
Oversikt over publikasjoner i Cristin:
- (2022). Unpacking the modelling process via sensitivity auditing. Futures: The journal of policy, planning and futures studies.
- (2022). The Challenge of Quantification: An Interdisciplinary Reading. Minerva.
- (2022). Models with higher effective dimensions tend to produce more uncertain estimates. Science Advances. 1-11.
- (2022). L’incontro con la scienza post-normale. 5 sider.
- (2022). Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies. Environmental Research Letters.
- (2022). Improving the reliability of cohesion policy databases. PLOS ONE.
- (2022). A COMPREHENSIVE COMPARISON OF TOTAL-ORDER ESTIMATORS FOR GLOBAL SENSITIVITY ANALYSIS. International Journal for Uncertainty Quantification. 1-18.
- (2021). Variance-based sensitivity analysis: The quest for better estimators and designs between explorativity and economy. Reliability Engineering & System Safety.
- (2021). Variable Selection in Regression Models Using Global Sensitivity Analysis. Journal of Time Series Econometrics. 187-233.
- (2021). The Strange Numbers of Covid-19. Argumenta. 97-107.
- (2021). The Immunity Capital. Argumenta. 109-116.
- (2021). The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. Environmental Modelling & Software. 21 sider.
- (2021). Sensitivity analysis: A discipline coming of age. Environmental Modelling & Software.
- (2021). Science, the endless frontier of regulatory capture. Futures: The journal of policy, planning and futures studies.
- (2021). Is VARS more intuitive and efficient than Sobol’ indices? Environmental Modelling & Software.
- (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 sider.
- (2020). Sustainable development goals - discussion.
- (2020). Quantitative Storytelling in the Making of a Composite Indicator. Social Indicators Research. 775-802.
- (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.
- (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. Humanities & Social Sciences Communications.
- (2020). Ethics of quantification or quantification of ethics? Futures: The journal of policy, planning and futures studies. 11 sider.
- (2020). Current models underestimate future irrigated areas. Geophysical Research Letters.
- (2020). A sensitivity analysis of the PAWN sensitivity index. Environmental Modelling & Software. 1-7.
- (2019). Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices. Environmental Modelling & Software. 29-39.
- (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.
- (2019). Smettiamola di fingere: quantificare non è un’operazione neutrale (Stop pretending: quantification is never neutral). Epidemiologia & Prevenzione. 121-123.
- (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.
- (2018). Fixing statistics is more than a technical issue. Nature. 281-281.
- (2018). Doing the Sum Right or the Right Sums? Techno-Optimist Numbers in Food Security Scenarios. Frontiers in Sustainable Food Systems. 1-3.
- (2018). Cargo-cult statistics and scientific crisis. Significance.
- (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). Introduction to Sensitivity Analysis. 20 sider.
- (2017). Do PISA data justify PISA-based education policy? International Journal of Comparative Education and Development. 20-34.