Motivating a Scientific Modeling Continuum: The Case of "Natural Models" in the COVID-19 Pandemic.

The COVID-19 global pandemic had a profound effect on scientific practice. During this time, officials crucially relied on the work done by modelers. This raises novel questions for the philosophy of science. Here I investigate the possibility of 'natural models' in predicting the SARS-Cov-2 virus's...

Full description

Bibliographic Details
Published in:Philosophy of Science Vol. 90; no. 4; pp. 880 - 901
Main Author: Nefdt, Ryan M.
Format: Article
Published: Cambridge University Press Oct2023
Subjects:
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=173151304&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 173151304
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        00318248
        PSC
      jtl: Philosophy of Science
      issn: 00318248
      maglogo: N
    pubinfo:
      dt: Oct2023
      vid: 90
      iid: 4
      pid: 15979
      pub: Cambridge University Press
    artinfo:
      ui:
        173151304
        10.1017/psa.2023.72
      ppf: 880
      ppct: 21
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
              size: 234KB
      tig:
        atl: Motivating a Scientific Modeling Continuum: The Case of "Natural Models" in the COVID-19 Pandemic.
      aug:
        au: Nefdt, Ryan M.
        affil: Department of Philosophy, University of Cape Town, Cape Town, South Africa
      su:
        Scientific models
        COVID-19 pandemic
        Philosophy of science
        SARS-CoV-2
        COVID-19
      sug:
        subj:
          Scientific models
          COVID-19 pandemic
          Philosophy of science
          SARS-CoV-2
          COVID-19
      ab: The COVID-19 global pandemic had a profound effect on scientific practice. During this time, officials crucially relied on the work done by modelers. This raises novel questions for the philosophy of science. Here I investigate the possibility of 'natural models' in predicting the SARS-Cov-2 virus's trajectory for epidemiological purposes. I argue that to the extent that these can be considered scientific models, they support the possibility of a continuum from scientific models to natural models differing in artifactual commitment. In making my case, I draw from work on both model organisms and natural experiments as well as recent work in epidemiology.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
      item: Philosophy of Science
      holder: Cambridge University Press
      dt:
        @attributes:
          year: 2023
    holdings:
      @attributes:
        islocal: N