ToxiMapp aggregates over 60 geospatial environmental datasets to show users exactly which toxicants are present in the air, water, and soil near any U.S. address, and the platform's founders say most people have no idea what surrounds them.
Deb Hordon, Ph.D., founder and CEO of ToxiMapp, built the platform after moving her infant daughter into two separate communities with cancer clusters. Neither location looked dangerous. One was a picturesque seacoast area between Maine and New Hampshire with expensive real estate and top-rated schools. The data told a different story. Peter Cada, chief environmental scientist at ToxiMapp and an instructor at Duke University's Nicholas School of the Environment, joined to build the underlying data infrastructure, drawing on his prior work contributing to the EPA's EnviroAtlas.
The episode covers how ToxiMapp's patent-pending toxin intensity scoring system works across air, water, and land media; why the platform is positioned as a shortcut for Phase I environmental site assessments and NEPA reviews; how partnerships with healthcare providers and diagnostic labs like Mosaic Diagnostics connect environmental exposure data to clinical testing; and what the roadmap looks like as the platform approaches 1,900 tracked toxicants and adds surface water and expanded air quality datasets.
The conversation also addresses PFAS contamination, the ethics of publishing environmental data near residential properties, crowdsourcing as a future data collection strategy, and the platform's current pricing model starting at $19.99 per address search.
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TAGS:
environmental toxins map, toxic neighborhood score, environmental site assessment tool, PFAS tracking, EPA ECHO alternative, EnviroAtlas, Mosaic Diagnostics, cancer cluster, environmental intelligence platform, geospatial environmental data, phase one ESA, brownfield sites, Superfund sites, environmental consulting tools, air water soil contamination, environmental health podcast, GIS environmental analysis
Learn more at https://www.toximapp.com/

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