Data-based, synthesis-driven: Setting the agenda for computational ecology
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Journal Title
Ideas in Ecology and Evolution
ISSN
1918-3178
Publisher
Queen's University Library
Volume
12
Pages
9-21
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Poisot, T., LaBrie, R., Larson, E., Rahlin, A., & Simmons, B. (2019). Data-based, synthesis-driven: Setting the agenda for computational ecology. Ideas in Ecology and Evolution, 12 9-21. https://doi.org/10.24908/iee.2019.12.2.e
Abstract
<jats:p>Computational thinking is the integration of algorithms, software, and data, tosolve general questions in a field. Computation ecology has the potential totransform the way ecologists think about the integration of data and models. Asthe practice is gaining prominence as a way to conduct ecological research, itis important to reflect on what its agenda could be, and how it fits within thebroader landscape of ecological research. In this contribution, we suggest areasin which empirical ecologists, modellers, and the emerging community ofcomputational ecologists could engage in a constructive dialogue to build on oneanother's expertise; specifically, about the need to make predictions frommodels actionable, about the best standards to represent ecological data, andabout the proper ways to credit data collection and data reuse. We discuss howtraining can be amended to improve computational literacy.</jats:p>
Sponsorship
TP thanks the Canadian Institute for Ecology and Evolution for financial support. BIS is supported by the Natural Environment Research Council as part of the Cambridge Earth System Science NERC DTP (NE/L002507/1).
Funder references
NERC (1653183)
NERC (1653183)
Identifiers
External DOI: https://doi.org/10.24908/iee.2019.12.2.e
This record's URL: https://www.repository.cam.ac.uk/handle/1810/296389