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Science Analytics and Synthesis (SAS) Program

Science Analytics and Synthesis (SAS) emphasizes a science data lifecycle approach to Earth systems data and information. We strive to accelerate research and decision making through data science, information delivery, advanced computing, and biodiversity analytics.

News

American Bullfrog Acoustics and High-Performance Computing

American Bullfrog Acoustics and High-Performance Computing

USGS supercomputers help assess volcanic hazards in support of community resilience

USGS supercomputers help assess volcanic hazards in support of community resilience

First USGS Supercomputer Decommissioning makes way for Successors

First USGS Supercomputer Decommissioning makes way for Successors

Publications

Artificial intelligence strategy for the U.S. Geological Survey Artificial intelligence strategy for the U.S. Geological Survey

Artificial intelligence (AI) can offer opportunities to enhance the science, science delivery, and business operations of the U.S. Geological Survey (USGS). Although USGS staff have proactively adopted AI into our workflows for many years, a comprehensive USGS strategy for AI has not previously been developed. The strategy described here is motivated by the acceleration of AI...
Authors
Janice M. Gordon, Alison P. Appling, Alfredo Aretxabaleta, John F. Bechtell, Thomas E. Burley, Janet M. Carter, Peter C. Esselman, Jason C. Fisher, Graham W. Lederer, James M. Mitchell, Neal J. Pastick, Jake Weltzin, Tim Woods

Turning trash into treasure: Leveraging discarded filters for national-scale aquatic eDNA biomonitoring Turning trash into treasure: Leveraging discarded filters for national-scale aquatic eDNA biomonitoring

Monitoring biodiversity changes over large spatiotemporal scales is critical for effective ecosystem conservation and management. This study investigates the potential of environmental DNA (eDNA) metabarcoding to enhance national-scale biomonitoring of freshwater diversity by leveraging discarded filters associated with routine water quality sampling from the U.S. Geological Survey's...
Authors
Devin Nicole Jones-Slobodian, Daniel J. Wieferich, Noah Fierer, Joseph Crane, Adam Sepulveda

Sparse genetic data limit biodiversity assessments in protected areas globally Sparse genetic data limit biodiversity assessments in protected areas globally

Global conservation targets include protecting genetic diversity within species. Yet few studies have assessed whether protected areas (PAs) include genetically diverse populations across species globally. A first step is understanding the availability of population genetic data that could be used in these assessments. We surveyed georeferenced population-level nuclear (as opposed to...
Authors
Ivan Paz-Vinas, Amy G. Vandergast, Chloé Schmidt, Deborah M. Leigh, Simon Blanchet, René D. Clark, Eric D. Crandall, Hanne De Kort, Jeff T. Falgout, Colin J. Garroway, Eleana Karachaliou, Francine Kershaw, David O’Brien, Malin L. Pinsky, Gernot Segelbacher, Rachel H. Toczydlowski, Margaret Hunter
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