Sherman Beus, software engineer, Katie Dorsey, communications team writer and editor, and Brian Ermold, data ingest manager, receive 2021 Atmospheric Radiation Measurement User Facility Service Awards.
A team of PNNL researchers are looking at how to evaluate robustness and accountability, fairness, and transparency of artificial intelligence models used to detect and quantify deceptive content online.
More than 30 PNNL interns contributed to the Airport Risk Assessment Model, a web-based tool that helps airport security stakeholders prioritize resource allocations.
PNNL computational scientist Diana Bacon’s role as carbon storage associate editor uses her expertise in subsurface modeling and quantitative risk assessment.
Sagadevan Mundree, director of the Queensland University of Technology Centre for Agriculture and the Bioeconomy, is joining PNNL as a joint appointee.
Svitlana Volkova, chief scientist for decision intelligence and analytics at PNNL, was invited as a panelist at the SIAM International Conference on Data Mining
PNNL data scientists Svitlana Volkova and Emily Saldanha, along with former PNNL intern Pamela Bilo Thomas, will publish their research on online information spread in Nature's Scientific Reports.
This is a story of how Nikki Sather's career journey studying the pulse of the Pacific Northwest's ecosystems began with a salmon's heartbeat. Sather currently works as an earth scientist at PNNL's Marine and Coastal Research Laboratory.
Battelle Fellow Ruby Leung has been featured by the U.S. Department of Energy as an inspiring climate modeler in an article celebrating Women's History Month.
Niri Govind and Amity Andersen co-hosted a workshop to explain how to use theory and modeling in the interpretation of X-ray absorption spectroscopy data.
Michael Henry, a senior data scientist at PNNL, has accepted a joint appointment at the Texas A&M University RELLIS Center for Applied Research and Experiential Learning.
PNNL data scientists Henry Kvinge and Ted Fujimoto presented their research on few-shot learning and reinforcement learning, respectively, at workshops during the 2021 AAAI Conference on Artificial Intelligence.