Milwaukee Water Works (MWW) is expanding its lead service line replacement program to prioritize neighborhoods with the greatest need by assigning priority scores to each census block.

Benton Harbor Solutions hosted a community-led radio show that shared information on city efforts to replace lead service lines.

Milwaukee Water Works requires that 40% of lead pipe replacement work go to RPP participants, with larger contracts prioritizing those in high-poverty areas.

The City of Baltimore is leveraging in-pipe lead detection methods to identify lead service lines in their distribution system.

The Alliance of Indiana Rural Water offers a two-year training program to upskill apprentices to become employable as a Systems Operations Specialist in the water sector.

Milwaukee uses an Area Deprivation Index to prioritize neighborhoods for LSLR.

Greater Cincinnati Water Works collaborated with the University of Cincinnati to develop a Prioritization model.

DC Water uses a model to prioritize LSLR in disadvantaged communities that are already marginalized, underserved, and overburdened by pollution.

Middlesex Water Company leveraged predictive modeling to reduce their unknowns by 40%, saving significant effort and rapidly identifying inventory materials.

The City of Detroit has leveraged predictive modeling to achieve a 75% decrease in its proposed project schedule, assess communities most at risk, and reduce the estimated number of lead service lines from 120,000 to 80,000.