OASIS is a unified digital hub centralizing critical resources and collaboration tools, making it easier for Environmental Data Science teams to access information and work together seamlessly. We invested in building OASIS to streamline workflows and drive efficiency by integrating diverse systems into a single, user-friendly platform that supports data-driven decision-making.The platform was developed to future-proof our operations, ensuring scalability and adaptability as our organizational needs evolve.
Research
Cyberinfrastructure
Open Analysis and Synthesis Infrastructure for Science (OASIS)
Using research-based best practices to facilitate collaboration within the center
The Science of Team Science
We develop processes and procedures based on proven practices that reduce implicit and explicit biases, break down barriers, empower diverse teams, and enable safe meetings, training opportunities, and workshops.
Incorporating evaluation throughout ESIIL’s journey
Evaluation
The ESIIL Evaluation Team engages in Collaborative Evaluation activities involving ESIIL leadership, subteams, and advisory board members (King and Stevahn, 2013; Shulha et al., 2016). These activities contribute to the iterative development and improvement of the synthesis center, the ESIIL community, and all ESIIL activities.
Open communication, iterative feedback and recommendations from the evaluation team support the continual growth of the center.
Post-Doctoral Research
Optimization for Conservation Decisions
Dr. Cassie Buhler's project utilizes open science, optimization, and AI to support spatial planning and decision-making ...
LTER Material Legacies
Dr. Kai Kopecky's cross-system comparison exploring how the material legacies of foundation species influence demography...
Publications
Global Change Biology Volume 31, Issue 4, e70209
Forest Degradation Is Undermining Progress on Deforestation in the Amazon
Mataveli et al (2025)
Estuaries and Coasts Volume 48, article number 60
Quantifying the Relative Importance of Sand Deposition and Dune Grasses to Carbon Storage in US Central Atlantic Coast Dunes
Katya R. Jay, Sally D. Hacker, Cedric J. Hagen, John Stepanek, Laura J. Moore & Peter Ruggiero (2025)
Sensors 25(2), 308
Spatial Characterization of Woody Species Diversity in Tropical Savannas Using GEDI and Optical Data
Rex et al. (2025)
Journal of Applied Ecology Volume 62, Issue 2, Pages 188-206
Remote sensing approaches to monitor tropical forest restoration: Current methods and future possibilities
de Almeida et al. (2024)
Nature Communications Volume 16, Article number: 572
Governance of Indigenous data in open earth systems science
Jennings et al. (2025)
Nature Climate Change Volume 14, Pages 916–928
Pushing the frontiers in climate modelling and analysis with machine learning
Eyring et al. (2024)
Global Change Biology Volume 30, Issue 9, e17504
Changing disturbance regimes, material legacies, and stabilizing feedbacks: Dead coral skeletons impair key recovery processes following coral bleaching
Kai L. Kopecky, Sally J. Holbrook, Emalia Partlow, Madeline Cunningham, and Russell J. Schmitt (2024)
Nature Vol 386, Issue 6720, pp. 425-431
The fastest-growing and most destructive fires in the US (2001 to 2020)
Balch et al. (2024)
Nature 634, 1041-1044
Extreme fire seasons are looming — science can help us adapt
Jennifer K. Balch and A. Park Williams (2024)
Earth's Future Volume 12, Issue 9, e2024EF004811
Adaptation and Response in Drylands (ARID): Community Insights for Scoping a NASA Terrestrial Ecology Field Campaign in Drylands
Feldman et al. (2024)
Remote Sensing in Ecology and Conservation Volume 11, Issue 2, Pages 133-155
Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management
Leite et al. (2024)
Artificial Intelligence for the Earth Systems Volume 3: Issue 4
Multidecadal Sea Level Prediction Using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data
Saumya Sinha, John Fasullo, R. Steven Nerem, and Claire Monteleoni (2024)
Journal of Statistics and Data Science Education, Volume 33, Issue 1, 3-15
Fostering the Development of Earth Data Science Skills in a Diverse Community of Online Learners: A Case Study of the Earth Data Science Corps
Quarderer et al. (2025)
Molecular Plant, Volume 17, Issue 6, p848-866
Satellite-enabled enviromics to enhance crop improvement
Rafael T. Resende, Lee Hickey, Cibele H. Amaral, Lucas L. Peixoto, Gustavo E. Marcatti, Yunbi Xu (2024)
Frontiers in Ecology and the Environment, Volume 22, Issue 7, e2776
Centering Indigenous Knowledges in ecology and beyond
Gazing Wolf et al. (2024)
Ecohydrology Volume 17, Issue 3, e2642
Valuation of forest‐management and wildfire disturbance on water and carbon fluxes in mountain headwaters
Chung et al. (2024)
Nature 627, 273-274
Drought-fuelled overnight burning propels large fires in North America
Jennifer K. Balch and Adam L. Mahood (2024)
PEARC '23 Conference Proceedings; Pages 367 - 373
Cyberinfrastructure deployments on public research clouds enable accessible Environmental Data Science education
McIntosh et al. (2024)
Applied Sciemces 2023, 13(19), 11034
Environmental Resilience Technology: Sustainable Solutions Using Value-Added Analytics in a Changing World
Stavros et al. (2023)
Science Advances Volume 9, Issue 20
Pathways for diversifying and enhancing science advocacy
Fernando Tormos-Aponte et al. (2023)
Ecology Volume 104, Issue3, e3968
Fuel connectivity, burn severity, and seedbank survivorship drive ecosystem transformation in a semiarid shrubland
Adam L. Mahood, Michael J. Koontz, Jennifer K. Balch (2023)
Peer Community Journal, Volume 3, article no. e4
Ten simple rules for working with high resolution remote sensing data
Mahood et al. (2023)