- Success Stories
- Safety, Health, & Environmental Compliance
Training the Next Generation of Researchers
CSS staff support the National Institutes of Health (NIH) Division of Occupational Safety and Health by providing Safe Techniques Advance Research Science (STARS) training to summer interns. Following a pause during the pandemic, staff resumed training May 15, 2024. During the in-person STARS training, CSS staff cover key concepts from the pre-requisite NIH Lab Safety online training by working through two case studies: one biological hazard (salmonella typhi handling procedures), and one chemical hazard (acrylamide for gels). CSS trainers provide a show and tell while demonstrating the safety equipment in the mock lab.
We anticipate training hundreds of interns this summer.
We are proud to be training the next generation of researchers!


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Monitoring Algal Blooms for Harmful Toxins
CSS employee owners support NOAA’s National Centers for Coastal Ocean Science (NCCOS) Harmful Algal Blooms (HAB) Sensor Development Team in their efforts to detect and monitor these harmful algal blooms in coastal waters where they are likely to occur. HAB monitoring is critical for detecting harmful toxins produced by some algae. When present in over…
Advancing Severe Weather Predictions with Artificial Intelligence
As artificial intelligence (AI) and machine learning (ML) technologies evolve in Earth sciences, CSS employee owners (formerly Riverside staff) are growing our expertise in this field. CSS employee owners are advancing technologies for our client, NOAA’s Center for Satellite Applications and Research (STAR). Our staff have developed a framework, exploiting modern AI/ML techniques, to rapidly…
CSS Employee Owners Receive NOAA Award
NOAA’s National Environmental Satellite and Data Information Service (NESDIS) recognizes the National Centers for Environmental Information Cloud Archive Team with 2026 NESDIS Outstanding Information Technology and Engineering Team Award! This award recognizes the team’s efforts to develop and deploy the Open Information Stewardship System (OISS) and create a large language model (L-OISS) that automates the generation and testing of complex archive workflows. CSS Employee Owners…
