The topic for the Spring 2024 Meeting of the Federal Remediation Technologies Roundtable (FRTR) will be Artificial Intelligence and Machine Learning to Optimize Site Remediation.

Meeting Objectives:
The FRTR Spring 2022 General Meeting explored applications of artificial intelligence (AI) and machine learning (ML) concepts to site cleanups. Technology advances in robotics, unmanned systems, and analysis of large data sets to support site characterization and remediation were reviewed. Projects seeking to advance use of AI/ML and support remedy decisions were presented. Potential benefits, risks, and limits of deploying AI/ML technologies were identified.

The FRTR 2024 Spring General Meeting provides an opportunity to share progress and results of recent AI/ML projects providing advanced contaminant plume characterization and predictive modeling, and improved cleanup efficiency. The meeting highlights site-specific case studies where AI/ML has substantially enhanced remedial decisions, remedy implementation and performance monitoring, and reduced needs for extensive sampling. Discussions during the meeting seek to provide remedial project managers and technical staff with information and best practices for deploying AI/ML technology.

FRTR member-agencies meet semi-annually, usually in the Washington, D.C. area. These meetings are open to the public.

Please visit the FRTR website (https://www.frtr.gov/meetings.cfm) for the meeting agenda and presentations (available soon). Print copies of meeting materials will not be provided.

For questions about this meeting related to content please contact:
Cindy Frickle (EPA), 202-566-0927, frickle.cynthia@epa.gov

For other questions please contact the meeting coordinator: Mary Buttarazzi (Environmental Management Support, Inc.), 301-202-1201, mary.buttarazzi@emsus.com.

Registration here is for the IN-PERSON meeting in Washington, DC. To register to attend the meeting virtually via Zoom please visit https://clu-in.org/training/webinar/frtrspring2023

Meeting Topic: Best Practices and Recent Technical Advances in Site Characterization and Conceptual Site Model Development