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Explore the untapped potential of Wolfram tools in ecological research through this 31-minute conference talk that examines both opportunities and barriers to adoption. Discover specific features of the Wolfram ecosystem that make it exceptionally well-suited for ecological applications, illustrated through practical examples from the field. Learn about three key recommendations for increasing Wolfram Language adoption in ecology: curating data access rather than raw data, creating incentives for community contributions and collaborations, and developing specialized "killer apps" for the discipline. Understand these concepts through the detailed example of maximum entropy (MaxEnt) models used for estimating species range distributions. Gain insights from a practicing ecologist's perspective on how computational tools can transform ecological research, while addressing the practical challenges that currently limit widespread adoption of advanced computational platforms in the ecological sciences.
