Lessons for Theory from Scientific Domains Where Evidence is Sparse or Indirect

In many scientific fields, sparseness and indirectness of empirical evidence pose fundamental challenges to theory development. Theories of the evolution of human cognition provide a guiding example, where the targets of study are evolutionary processes that occurred in the ancestors of present-day humans. In many cases, the evidence is both very sparse and very indirect (e.g., archaeological findings regarding anatomical changes that might be related to the evolution of language capabilities); in other cases, the evidence is less sparse but still very indirect (e.g., data on cultural transmission in groups of contemporary humans and non-human primates). From examples of theoretical and empirical work in this domain, we distill five virtuous practices that scientists could aim to satisfy when evidence is sparse or indirect: (i) making assumptions explicit, (ii) making alternative theories explicit, (iii) pursuing computational and formal modelling, (iv) seeking external consistency with theories of related phenomena, and (v) triangulating across different forms and sources of evidence. Thus, rather than inhibiting theory development, sparseness or indirectness of evidence can catalyze it. To the extent that there are continua of sparseness and indirectness that vary across domains and that the principles identified here always apply to some degree, the solutions and advantages proposed here may generalise to other scientific domains.

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Publication Details

Journal
Computational Brain & Behavior
Published
2024-12-01
DOI
https://doi.org/10.1007/s42113-024-00214-8
Citations
9
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
3.13

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article

Lessons for Theory from Scientific Domains Where Evidence is Sparse or Indirect

Antonina Kolokolova, Riccardo Fusaroli, Cory Wright, Patricia Rich et al.
9 citations
Computational Brain & Behavior
Advanced Text Analysis Techniques
3.13
article

Lessons for Theory from Scientific Domains Where Evidence is Sparse or Indirect

Antonina Kolokolova, Riccardo Fusaroli, Cory Wright, Patricia Rich, Martin Modrák, Anne S. Warlaumont, Marieke Woensdregt
article en
9 citations

Abstract

In many scientific fields, sparseness and indirectness of empirical evidence pose fundamental challenges to theory development. Theories of the evolution of human cognition provide a guiding example, where the targets of study are evolutionary processes that occurred in the ancestors of present-day humans. In many cases, the evidence is both very sparse and very indirect (e.g., archaeological findings regarding anatomical changes that might be related to the evolution of language capabilities); in other cases, the evidence is less sparse but still very indirect (e.g., data on cultural transmission in groups of contemporary humans and non-human primates). From examples of theoretical and empirical work in this domain, we distill five virtuous practices that scientists could aim to satisfy when evidence is sparse or indirect: (i) making assumptions explicit, (ii) making alternative theories explicit, (iii) pursuing computational and formal modelling, (iv) seeking external consistency with theories of related phenomena, and (v) triangulating across different forms and sources of evidence. Thus, rather than inhibiting theory development, sparseness or indirectness of evidence can catalyze it. To the extent that there are continua of sparseness and indirectness that vary across domains and that the principles identified here always apply to some degree, the solutions and advantages proposed here may generalise to other scientific domains.

Computational Brain & BehaviorVol. 7(4)
Memorial University of Newfoundland (CA), Radboud University Nijmegen (NL), University of California, Los Angeles (US), Czech Academy of Sciences (CZ), Aarhus University (DK), Charles University (CZ), Max Planck Institute for Psycholinguistics (NL), Pennsylvania Academic Library Consortium (US), Czech Academy of Sciences, Institute of Microbiology (CZ), University of Bayreuth (DE), California State University, Long Beach (US), University of Pennsylvania (US)
James S. McDonnell Foundation, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Natural Sciences and Engineering Research Council of Canada
Quality Education
Openalex Percentile: Top 7%
Advanced Text Analysis Techniques
3.13
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