• Unpacking the modeling process for energy policy making 

      Lo Piano, Samuele; Lőrincz, Máté János; Puy, Arnald; Pye, Steve; Saltelli, Andrea; Smith, Stefán Thor; van der Sluijs, Jeroen P (Journal article; Peer reviewed, 2023)
      This article explores how the modeling of energy systems may lead to an undue closure of alternatives by generating an excess of certainty around some of the possible policy options. We retrospectively exemplify the problem ...
    • Unpacking the modelling process via sensitivity auditing 

      Lo Piano, Samuele; Sheikholeslami, Razi; Maeso, Arnald Puy; Saltelli, Andrea (Journal article; Peer reviewed, 2022)
      Acknowledging the conditionality of model-based evidence facilitates the dialogue between model developers and model users, especially when models are used to guide decisions at the science-policy interface. In general, ...
    • What can mathematical modelling contribute to a sociology of quantification? 

      Saltelli, Andrea; Puy, Arnald (Journal article; Peer reviewed, 2023)
      Sociology of quantification has spent relatively less energies investigating mathematical modelling than it has on other forms of quantification such as statistics, metrics, or algorithms based on artificial intelligence. ...
    • What is Post-normal Science? A Personal Encounter 

      Saltelli, Andrea (Journal article; Peer reviewed, 2023)
      What is post-normal science? What are the reasons for, and consequences of, encountering it in one’s professional life? Here I share my own experience of readings, practices and discussions with the fathers, supporters and ...
    • Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices 

      Saltelli, Andrea; Aleksankina, Ksenia; Becker, William; Fennell, Pamela; Ferretti, Frederico; Holst, Niels; Li, Sushan; Wu, Qiongli (Journal article; Peer reviewed, 2019-04)
      Sensitivity analysis provides information on the relative importance of model input parameters and assumptions. It is distinct from uncertainty analysis, which addresses the question ‘How uncertain is the prediction?’ ...