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  • 1.
    Soneryd, Linda
    Stockholm University, Faculty of Social Sciences, Stockholm Centre for Organizational Research (SCORE).
    Deliberations over the unknown, the unsensed and the unsayable?: Public protests and the 3G development in Sweden2007In: Science, Technology and Human Values, ISSN 0162-2439, E-ISSN 1552-8251, Vol. 32, no 3, p. 287-314Article in journal (Refereed)
    Abstract [en]

    This article explores processes of articulation in the controversies over third-generation mobile phone transmitters and the interrelated phenomenon of “electrosensitivity.” The argument is that the search to fix public image and public concerns tends to alienate the public from technology discussions. An alternative political epistemology of articulations is suggested to explore the dynamics among prereflexive motives, public engagement, and institutional requirements for public deliberations

  • 2.
    Sundberg, Mikaela
    Stockholm University, Faculty of Social Sciences, Department of Sociology.
    Creating Convincing Simulations in Astrophysics2012In: Science, Technology and Human Values, ISSN 0162-2439, E-ISSN 1552-8251, Vol. 37, no 1, p. 64-87Article in journal (Refereed)
    Abstract [en]

    Numerical simulations have come to be widely used in scientific work. Like experiments, simulations generate large quantities of numbers (output data) that require analysis and constant concern with uncertainty and error. How do simulationists convince themselves, and others, about the credibility of output? The present analysis reconstructs the perspectives related to performing numerical simulations, in general, and the situations in which simulationists deal with uncertain output, in particular. Starting from a distinction between idealized and realistic simulations, the paper presents the principal methods of evaluation in relation to these practices and how different audiences expect different methods. One major challenge in interpreting output data is to distinguish between real and numerical effects. Within the practice of idealized simulations, simulationists hold the underlying model accountable for results that manifest real effects, but because numerical and real effects cannot be distinguished on the basis of what they derive from, attempted causal explanations are rather justifications for their conclusions. At the same time, simulationists' explanations are part and parcel of their contradictory perspectives, according to which they believe in simulations largely due to the underlying model, while painfully recognizing everything they have to add to make computations doable on the basis of this model.

  • 3.
    Sundberg, Mikaela
    Stockholm University, Faculty of Social Sciences, Department of Sociology.
    The Everyday World of Simulation Modeling: The Development of Parameterizations in Meteorology2009In: Science, Technology and Human Values, ISSN 0162-2439, E-ISSN 1552-8251, Vol. 34, no 2, p. 162-181Article in journal (Refereed)
    Abstract [en]

    This article explores the practice of simulation modeling byinvestigating how parameterizations are constructed and integratedinto existing frameworks. Parameterizations are simplified processdescriptions adapted for simulation models. On the basis ofa study of meteorological research, the article presents predictiveand representative construction as two different ways of developingparameterizations and the trade-offs involved in this work.Because the overall aim in predictive construction is to improveweather forecasts, the most practical solutions are chosen overthe best theoretical solutions. In representative construction,the situation is reversed, but while discourse focuses on theoryand models, the everyday work is often tied to computer programs.These different ways of construction work are closely relatedto the role of the simulation models as epistemic or technicalobjects, and this characterization is also used to compare theresults with previous research.

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