Driving Environmental Research Forward
The Environmental Data Institute is at the forefront of environmental research, engaging in diverse and cutting-edge initiatives and collaborations. Our research portfolio showcases our commitment to advancing scientific understanding and addressing critical environmental challenges through innovative data-driven research solutions.
AI for Lake Ecosystem Modeling
AI is transforming science, but applying it to environmental problems is uniquely demanding. Natural systems are complex, with heterogeneous, often limited data. Environmental science also values explainability – understanding processes, not just making predictions. This requires specialized AI approaches ... Continue Reading.
Data Annotation and Discovery with AI
The sheer volume of environmental data collected today often outpaces the capacity for human annotation, making it difficult to efficiently categorize, link with ontology terms, and ultimately discover relevant datasets. This bottleneck hinders scientific progress and limits the full potential of available environmental information. Continue Reading.
Better Data Stewardship for Evolutionary Biology
In evolutionary biology and ecology, data publication is now expected, but accessing, integrating, and reusing these datasets remains difficult. Data are scattered across fragmented repositories with inconsistent standards, limited quality control, and poor interoperability. These barriers make it hard for researchers to discover, synthesize, and reuse data ... Continue Reading.
Repository of the Future
Environmental data are essential to understanding and managing our rapidly changing world, but traditional repositories struggle with growing data volumes, diverse formats, and demands for interoperability. Researchers, policymakers, and practitioners need fast, reliable access to well-documented data, yet existing systems often limit discoverability and reuse. Continue Reading.
US National Science Foundation
The Environmental Sciences Community needed a trusted, high-standard data repository, curation service center, and clearinghouse to secure national data assets and address the problem of valuable environmental data being locked away in disparate, unstable storage silos. Continue Reading.
