From bees to bison, animals must move across complex landscapes to survive. Such movement can happen in the course of a day on a single plant or in response to seasons for continental-scale migrations. Regardless of scale, how internal cues, other animals, and landscape characteristics like temperature, water, and food mediate movement is largely unknown for most animals. WyldTech harnesses new technology and high performance computing, while capitalizing on ongoing projects and existing data, to characterize landscapes and track animals across scales to facilitate human-animal coexistence in a changing world. The overall research question motivating the Center is:
How can new approaches to animal bio-logging, environmental informatics, and computational workflows advance the management and conservation of Wyoming’s diverse wildlife?
Our vision is to leverage new technologies, big data, and computational advances to understand and conserve Wyoming's wildlife on working and changing landscapes.
To achieve our vision, we build inclusive spaces supporting productive interdisciplinary collaborations that advance the frontiers of knowledge, provide management guidance for human wildlife coexistence, and yield products useful to the state of Wyoming and beyond.
We are excited to announce the availability of seed grants to support new projects in association with the WyldTech Center for Technology, Computing, and Wildlife.
Two seed projects that will initialize the WyldTech Center demonstrate cross-discipline synergies that will be the hallmark of the Center. Across animals spanning six orders of magnitude in size (3-g bees to 3,000,000-g bison), all organisms must move to find resources (food, habitats) so they can thrive. Despite obvious differences in their ecologies, all animals are exposed to fractal-like distributions of resources–self-similarity in the distribution of food and habitat in space and time–regardless of whether such resources are individual flowers, basking sites, rodents to eat, or refuge from the snow. Such self-similarity hints at general principles for animal ecology, a field that has been bogged down by idiosyncrasy and special cases for over a century, and for which methodologies have been outpaced by ideas. We believe that major innovations in the acquisition and analysis of remotely-sensed imagery and related big data combined with advances in high performance computing will reveal general principles regarding how animals move across landscapes from a few meters to thousands of kilometers. In tandem, the two initial foci outlined below will provide a framework for predicting the abundance and distribution of wild animals in working landscapes.
Eligibility is limited to WyldTech affiliates (apply to be a WyldTech affiliate here).
Proposals due: June 15, 2024
WyldTech affiliates have published 7 peer-reviewed manuscripts related to the Center’s mission in 2024, are affiliated with over $24 million in funded grants (primarily external) and have additional pending grant submissions with a total value of over $24 million. Beyond the steering committee and other affiliates (23 PIs total), the Center has engaged a research scientist, two postdocs, 6 graduate students and 5 undergraduate students directly in ongoing projects. To broaden impact, the Center and its affiliates have supported 4 major statewide outreach and engagement projects and WyldTech recently invested $50,000 in 4 new projects seeding work in alignment with the vision, engaging PIs from 5 UW units in 4 colleges.
$50,000 total, 5 departments/units from 4 colleges: SoC, CALSNR, Haub, CEPS