The Future is Bright for Evolutionary Morphology and Biomechanics in the Era of Big Data Article Swipe
Martha M. Muñoz
,
Samantha A. Price
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1093/icb/icz121
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1093/icb/icz121
In recent years, the fields of evolutionary biomechanics and morphology have developed into a deeply quantitative and integrative science, resulting in a much richer understanding of how structural relationships shape macroevolutionary patterns. This issue highlights new research at the conceptual and experimental cutting edge, with a special focus on applying big data approaches to classic questions in form–function evolution. As this issue illustrates, new technologies and analytical tools are facilitating the integration of biomechanics, functional morphology, and phylogenetic comparative methods to catalyze a new, more integrative discipline. Although we are at the cusp of the big data generation of organismal biology, the field is nonetheless still data-limited. This data bottleneck is primarily due to the rate-limiting steps of digitizing specimens, recording and tracking organismal movements, and extracting patterns from massive datasets. Automation and machine-learning approaches hold great promise to help data generation keep pace with ideas. As a final and important note, almost all the research presented in this issue relied on specimens—totaling the tens of thousands—provided by museum collections. Without collection, curation, and conservation of museum specimens, the future of the field is much less bright.
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Metadata
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- Language
- en
- Landing Page
- https://doi.org/10.1093/icb/icz121
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- OA Status
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- Cited By
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- References
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- OpenAlex ID
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https://doi.org/10.1093/icb/icz121Digital Object Identifier
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The Future is Bright for Evolutionary Morphology and Biomechanics in the Era of Big DataWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2019Year of publication
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2019-06-25Full publication date if available
- Authors
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Martha M. Muñoz, Samantha A. PriceList of authors in order
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https://doi.org/10.1093/icb/icz121Publisher landing page
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https://academic.oup.com/icb/article-pdf/59/3/599/30041327/icz121.pdfDirect link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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Data science, Bottleneck, Big data, Pace, Field (mathematics), Computer science, Data mining, Geography, Embedded system, Mathematics, Geodesy, Pure mathematicsTop concepts (fields/topics) attached by OpenAlex
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39Total citation count in OpenAlex
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2025: 1, 2024: 4, 2023: 13, 2022: 7, 2021: 8Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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