7 found
Order:
  1.  14
    What Types of Values Enter Simulation Validation and What Are Their Roles?Gertrude Hirsch Hadorn & Christoph Baumberger - 2019 - In Claus Beisbart & Nicole J. Saam (eds.), Computer Simulation Validation: Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives. Cham, Switzerland: pp. 961-979.
    Based on a framework that distinguishes several types, roles and functions of values in science, we discuss legitimate applications of values in the validation of computer simulations. We argue that, first, epistemic values, such as empirical accuracy and coherence with background knowledge, have the role to assess the credibility of simulation results, whereas, second, cognitive values, such as comprehensiveness of a conceptual model or easy handling of a numerical model, have the role to assess the usefulness of a model for (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  2.  41
    Applying Big Data Beyond Small Problems in Climate Research.Benedikt Knüsel, Marius Zumwald, Christoph Baumberger, Gertrude Hirsch Hadorn, Erich M. Fischer, Reto Knutti & David M. Bresch - 2019 - Nature Climate Change 9 (March 2019):196-202.
    Commercial success of big data has led to speculation that big-data-like reasoning could partly replace theory-based approaches in science. Big data typically has been applied to ‘small problems’, which are well-structured cases characterized by repeated evaluation of predictions. Here, we show that in climate research, intermediate categories exist between classical domain science and big data, and that big-data elements have also been applied without the possibility of repeated evaluation. Big-data elements can be useful for climate research beyond small problems if (...)
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  3.  15
    On Rationales for Cognitive Values in the Assessment of Scientific Representations.Gertrude Hirsch Hadorn - 2018 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 49 (3):319-331.
    Cognitive values like simplicity, broad scope, and easy handling are properties of a scientific representation that result from the idealization which is involved in the construction of a representation. These properties may facilitate the application of epistemic values to credibility assessments, which provides a rationale for assigning an auxiliary function to cognitive values. In this paper, I defend a further rationale for cognitive values which consists in the assessment of the usefulness of a representation. Usefulness includes the relevance of a (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  4. Deskriptiv-analytische und praktisch-normative Funktionen von Naturbegriffen in der Umweltforschung.Gertrude Hirsch Hadorn - 2003 - Philosophia Naturalis 40 (1):103-126.
    No categories
    Translate
     
     
    Export citation  
     
    Bookmark  
  5.  33
    Webers Idealtypus AlS Methode Zur Bestimmung Des Begriffsinhaltes Theoretischer Begriffe in den Kulturwissenschaften.Gertrude Hirsch Hadorn - 1997 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 28 (2):275 - 296.
    Weber's Ideal Type as a Method of Forming the Content of Theoretical Concepts in Social Sciences}. Max Weber introduced the ideal type as the specific method of concept formation in social sciences. But the ideal type is not established in social research. Instead, authors in philosophy of science until today try to reconstruct and interpret what Weber said about ideal types as well as what might be their importance in Weber's social theory. The thesis of the following paper is that (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  6.  21
    Uncertainty Quantification Using Multiple Models - Prospects and Challenges.Reto Knutti, Christoph Baumberger & Gertrude Hirsch Hadorn - 2019 - In Claus Beisbart & Nicole J. Saam (eds.), Computer Simulation Validation: Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives. Cham, Switzerland: pp. 835-855.
    Model evaluation for long term climate predictions must be done on quantities other than the actual prediction, and a comprehensive uncertainty quantification is impossible. An ad hoc alternative is provided by coordinated model intercomparisons which typically use a “one model one vote” approach. The problem with such an approach is that it treats all models as independent and equally plausible. Reweighting all models of the ensemble for performance and dependence seems like an obvious way to improve on model democracy, yet (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  7.  22
    Understanding and Assessing Uncertainty of Observational Datasets for Model Evaluation Using Ensembles.Marius Zumwald, Benedikt Knüsel, Christoph Baumberger, Gertrude Hirsch Hadorn, David Bresch & Reto Knutti - 2020 - WIREs Climate Change 10:1-19.
    In climate science, observational gridded climate datasets that are based on in situ measurements serve as evidence for scientific claims and they are used to both calibrate and evaluate models. However, datasets only represent selected aspects of the real world, so when they are used for a specific purpose they can be a source of uncertainty. Here, we present a framework for understanding this uncertainty of observational datasets which distinguishes three general sources of uncertainty: (1) uncertainty that arises during the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark