•  4
    Collaboration in Science
    Epistemology and Philosophy of Science 57 (4): 112-116. 2020.
    The article provides a brief overview of the philosophical and methodological problems of modern collaborative research. Collaborations – distributed organizations with variable membership, consisting of a large number of participants – are common in experimental high-energy physics studying microcosm objects, elementary particles arising in collisions of beams of accelerated particles and nuclei at collider accelerators, as well as in biomedicine and climatology. The central issues are authorsh…Read more
  •  7
    This paper seeks to examine the roles and identities of engineers constituting one of the fundamental, but a completely indescribable community in modern big science with particle accelerators. Large communities of accelerator and detector specialists, which replaced experimenters and instrumentalists of the middle of the last century, themselves exhibit a complex structure and are divided. However, this division is in turn grounded on the division of those whose activities focus on the phenomen…Read more
  •  1
    Ontology of the Collective Experimentalist
    Epistemology and Philosophy of Science 56 (4): 165-182. 2019.
    In this article, the collective experimenter, arising in scientific projects from those modeled on the Alvarez group to megascience, is studied in the framework of the model of trading zones, as well as Actor-Network Theory. The collective experimenter is defined as a network of actors whose forms are trading zones, including the core – the empirical collective subject of cognition – and the peripheral part. The multitude of actors of the collective experimenter includes the core, as well as the…Read more
  •  9
    Linguistic Privilege and Justice: What Can We Learn from STEM?
    Philosophical Papers 47 (1): 71-92. 2018.
  •  20
    What Makes a Good Experiment? Reasons and Roles in Science
    Annals of Science 75 (1): 62-64. 2018.
  •  19
    Simulation and Similarity is a novel and comprehensive account of, in first place, models and modeling. The author’s writing is exceptionally clear and intelligible. Simulation is referred to in the book only once, where it is defined as a kind of numerical analysis involving “computing the behavior of the model using a particular set of initial conditions” (82). Modeling, which is defined as “the indirect study of real-world systems via the construction and analysis of models” (4), appears to b…Read more
  •  166
    In accordance with the ideas of I.Hacking and P.Galison, and the “theoretical-operational” structure of experiment of Fock-Lipkin, a symbolic language is developed for the description of structure of a contemporary complex experiment. With its help a particle accelerator-based experiment is analysed as an example of this kind of experiments, where explication and analysis of the following essential features is performed: the roles of instrument, background, data analysis, and their theoretical c…Read more
  •  26
    Verification and validation of computer codes and models used in simulation are two aspects of the scientific practice of high importance and have recently been discussed by philosophers of science. While verification is predominantly associated with the correctness of the way a model is represented by a computer code or algorithm, validation more often refers to model’s relation to the real world and its intended use. It has been argued that because complex simulations are generally not transpa…Read more