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Modelling Scientific Communities

Modelling Scientific Communities

Modelling Scientific Communities

Cailin O'Connor, University of California, Irvine
December 2023
Available
Paperback
9781009359542

    This Element will overview research using models to understand scientific practice. Models are useful for reasoning about groups and processes that are complicated and distributed across time and space, i.e., those that are difficult to study using empirical methods alone. Science fits this picture. For this reason, it is no surprise that researchers have turned to models over the last few decades to study various features of science. The different sections of the element are mostly organized around different modeling approaches. The models described in this element sometimes yield take-aways that are straightforward, and at other times more nuanced. The Element ultimately argues that while these models are epistemically useful, the best way to employ most of them to understand and improve science is in combination with empirical methods and other sorts of theorizing.

    Product details

    December 2023
    Paperback
    9781009359542
    94 pages
    229 × 151 × 7 mm
    0.16kg
    Available

    Table of Contents

    • 1. Introduction
    • 2. The credit economy
    • 3. The natural selection of science
    • 4. Social networks and scientific knowledge
    • 5. Epistemic landscapes
    • 6. The replication crisis and methodological reform
    • 7. The replication crisis and methodological reform
    • Bibliography.
      Author
    • Cailin O'Connor , University of California, Irvine