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Biologically grounded scientific methods: The challenges ahead for combating epidemics
The protracted COVID 19 pandemic may indicate failures of scientific methodologies. Hoping to facilitate the evaluation and/or update of methods relevant in Biomedicine, several aspects of scientific processes are here explored. First, the background is reviewed. In particular, eight topics are anal...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423586/ https://www.ncbi.nlm.nih.gov/pubmed/34492300 http://dx.doi.org/10.1016/j.ymeth.2021.09.001 |
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author | Rivas, Ariel L. Hoogesteijn, Almira L. |
author_facet | Rivas, Ariel L. Hoogesteijn, Almira L. |
author_sort | Rivas, Ariel L. |
collection | PubMed |
description | The protracted COVID 19 pandemic may indicate failures of scientific methodologies. Hoping to facilitate the evaluation and/or update of methods relevant in Biomedicine, several aspects of scientific processes are here explored. First, the background is reviewed. In particular, eight topics are analyzed: (i) the history of Higher Education models in reference to the pursuit of science and the type of student cognition pursued, (ii) whether explanatory or actionable knowledge is emphasized depending on the well- or ill-defined nature of problems, (iii) the role of complexity and dynamics, (iv) how differences between Biology and other fields influence methodologies, (v) whether theory, hypotheses or data drive scientific research, (vi) whether Biology is reducible to one or a few factors, (vii) the fact that data, to become actionable knowledge, require structuring, and (viii) the need of inter-/trans-disciplinary knowledge integration. To illustrate how these topics interact, a second section describes four temporal stages of scientific methods: conceptualization, operationalization, validation and evaluation. They refer to the transition from abstract (non-measurable) concepts (such as ‘health’) to the selection of concrete (measurable) operations (such as ‘quantification of ´anti-virus specific antibody titers’). Conceptualization is the process that selects concepts worth investigating, which continues as operationalization when data-producing variables viewed to reflect critical features of the concepts are chosen. Because the operations selected are not necessarily valid, informative, and may fail to solve problems, validations and evaluations are critical stages, which require inter/trans-disciplinary knowledge integration. It is suggested that data structuring can substantially improve scientific methodologies applicable in Biology, provided that other aspects here mentioned are also considered. The creation of independent bodies meant to evaluate biologically oriented scientific methods is recommended. |
format | Online Article Text |
id | pubmed-8423586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84235862021-09-08 Biologically grounded scientific methods: The challenges ahead for combating epidemics Rivas, Ariel L. Hoogesteijn, Almira L. Methods Article The protracted COVID 19 pandemic may indicate failures of scientific methodologies. Hoping to facilitate the evaluation and/or update of methods relevant in Biomedicine, several aspects of scientific processes are here explored. First, the background is reviewed. In particular, eight topics are analyzed: (i) the history of Higher Education models in reference to the pursuit of science and the type of student cognition pursued, (ii) whether explanatory or actionable knowledge is emphasized depending on the well- or ill-defined nature of problems, (iii) the role of complexity and dynamics, (iv) how differences between Biology and other fields influence methodologies, (v) whether theory, hypotheses or data drive scientific research, (vi) whether Biology is reducible to one or a few factors, (vii) the fact that data, to become actionable knowledge, require structuring, and (viii) the need of inter-/trans-disciplinary knowledge integration. To illustrate how these topics interact, a second section describes four temporal stages of scientific methods: conceptualization, operationalization, validation and evaluation. They refer to the transition from abstract (non-measurable) concepts (such as ‘health’) to the selection of concrete (measurable) operations (such as ‘quantification of ´anti-virus specific antibody titers’). Conceptualization is the process that selects concepts worth investigating, which continues as operationalization when data-producing variables viewed to reflect critical features of the concepts are chosen. Because the operations selected are not necessarily valid, informative, and may fail to solve problems, validations and evaluations are critical stages, which require inter/trans-disciplinary knowledge integration. It is suggested that data structuring can substantially improve scientific methodologies applicable in Biology, provided that other aspects here mentioned are also considered. The creation of independent bodies meant to evaluate biologically oriented scientific methods is recommended. Published by Elsevier Inc. 2021-11 2021-09-04 /pmc/articles/PMC8423586/ /pubmed/34492300 http://dx.doi.org/10.1016/j.ymeth.2021.09.001 Text en © 2021 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Rivas, Ariel L. Hoogesteijn, Almira L. Biologically grounded scientific methods: The challenges ahead for combating epidemics |
title | Biologically grounded scientific methods: The challenges ahead for combating epidemics |
title_full | Biologically grounded scientific methods: The challenges ahead for combating epidemics |
title_fullStr | Biologically grounded scientific methods: The challenges ahead for combating epidemics |
title_full_unstemmed | Biologically grounded scientific methods: The challenges ahead for combating epidemics |
title_short | Biologically grounded scientific methods: The challenges ahead for combating epidemics |
title_sort | biologically grounded scientific methods: the challenges ahead for combating epidemics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423586/ https://www.ncbi.nlm.nih.gov/pubmed/34492300 http://dx.doi.org/10.1016/j.ymeth.2021.09.001 |
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