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Superfund Research Program

The Superfund Research Program (SRP) has two large webinar series that occur annually: The Progress in Research (PiR) series, and the Risk e-Learning (ReL) series. Both series are hosted on the U.S. Environmental Protection Agency's Contaminated Site Clean-Up Information (CLU-IN) website. PiR webinars feature work being initiated by recently awarded grant recipients. The purpose of these webinars is to facilitate a dialogue between the researchers, field practitioners, and stakeholders early in the the stages of research progress so that these new projects are on a trajectory for successful technology transfer and application by end users. 

ReL webinars provide information about environmental exposures and health, and cover topics including risk communication strategies, bioremediation, and data science. The webinars are open to the public, including risk assessors and regional project managers, industry representatives, environmental engineering/consulting firms, community members, academia, and federal, state, and local regulatory agencies. 

People in a lab working with robots

PiR 2024: Emerging Technologies in Occupational Health and Safety

Showcased researchers funded by SRP and others developing curricula and educational programs focused on emergent technologies in the sphere of occupational health and safety.

Global bubbles on a mountain background

PiR 2023: SRP Multiproject Center Grants: Research Across Disciplines

Multiproject Center grant recipients funded in 2022 as part of the P42 grant solicitation RFA-ES-20-014 highlighted their research projects, accomplishments, and next steps. 

Two scientists in lab coats and face masks holding a sample

PiR 2022: Utilizing Innovative Materials Science Approaches to Enhance Bioremediation

This series featured SRP individual research projects incorporating new advances in materials science to optimize bioremediation of contaminants in soil, sediment, or water.

Graphic of a brain with neural pathways highlighted and lines shooting out to other computer graphics

ReL 2024: Advancing Environmental Health Research with Artificial Intelligence and Machine Learning

This series focused on using artificial intelligence (AI) and machine learning to advance environmental health research. 

Map of North Carolina with sampling locations indicated by dots in relation to the Chemours facility

ReL 2023: Tools for PFAS Site Characterization

This series focused on research efforts to develop tools for sampling, monitoring, detecting, and characterizing per- and polyfluoroalkyl substances (PFAS) contamination.