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Science Analytics and Synthesis (SAS)

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

The path to FAIR research models: Lessons learned The path to FAIR research models: Lessons learned

Numerical modeling of Earth surface processes emerged as an important scientific tool in the late 1960s to mid-1970s, driven by the development of finite element methods in computer science. These advancements, initially applied in civil engineering, enabled scientists to simulate complex geological phenomena. At that time, models were often only described in publications, access was...
Authors
Albert Kettner, Leslie Hsu, Brandon Serna

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
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