Skip to main content
U.S. flag

An official website of the United States government

Science Synthesis, Analysis, and Research Program

The Science Synthesis, Analysis, and Research (SSAR) Program provides analysis and synthesis of scientific data and information, interdisciplinary research to improve understanding of Earth system changes, and preservation of scientific data and samples and library collections.

News

CDI projects highlighted at the Earth Science Information Partners (ESIP) July Meeting

CDI projects highlighted at the Earth Science Information Partners (ESIP) July Meeting

Jennifer Lacey Selected as Associate Director for Core Science Systems Mission Area

Jennifer Lacey Selected as Associate Director for Core Science Systems Mission Area

First USGS Supercomputer Decommissioning makes way for Successors

First USGS Supercomputer Decommissioning makes way for Successors

Publications

A dataset of fluvial fish richness metrics for stream reaches across the conterminous United States A dataset of fluvial fish richness metrics for stream reaches across the conterminous United States

Fluvial fishes, those primarily inhabiting rivers and streams, are facing substantial threats in their native ranges from habitat degradation which contributes to decreases in richness and abundance of many species. Because distributions of fluvial species are often not well developed across large spatial scales, the ability to understand the consequences of threats is limited. Species
Authors
Daniel J. Wieferich, Hao Yu, Mark T. Wiltermuth, Wesley Daniel, Jared Ross, Arthur R. Cooper, Dana M. Infante

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
Was this page helpful?