NWGS Grid™ water-drop mark

GEOHUB · SMART MAPS

Mapping knowledge
across communities.

GeoHUB is Franklin HUB’s home for maps and spatial data. Its tools are built here and live on the web: the NWGS Grid™ at nwgsgrid.com, where U.S. wastewater is tested for disease, and GridAI™ at gridaitm.com, what county averages hide about power outages, burden and climate stress. BioGrid Sentinel AI, a digital twin for nuclear infrastructure and community health preparedness, is the newest GeoHUB research framework.

Meet the NWGS Grid™ Meet GridAI™ Meet BioGrid Sentinel AI
THE FIRST GEOHUB TOOL

NWGS Grid™: reading the nation’s wastewater.

The National Wastewater Genomics Smart Grid shows where U.S. wastewater is tested for disease, what it is showing now, and which communities monitoring reaches. It is a Franklin HUB SMART Center research platform, built by Victoria Love Franklin, and it rebuilds itself every Saturday from CDC, NCBI, and EPA data.

Open NWGS Grid™ ↗See it in Projects →

For residents and communities

Look up your county: whether its wastewater is tested, and what it is showing this week, in plain language.

For health departments

See activity compared with each county’s own normal, early-warning lead time, and where monitoring is missing.

For researchers

Methods, data sources, quality checks, and an audit trail for every weekly run, ready to cite.

WHAT’S INSIDE
  1. MapsMonitoring, activity, and clusters by county
  2. Trends & forecastsTrends, lead time, and model results
  3. Coverage & equityWho monitoring reaches, and who it misses
  4. Genomics & emergingSequences, H5, measles, mpox
  5. AlertsSign in to follow the counties you care about
  6. Methods & trustSources, checks, audit, and how to cite

Live at nwgsgrid.com. The numbers there are always the latest weekly run, so this page links to the tool instead of copying its data.

GEOHUB TOOL

GridAI™: what county averages hide.

GridAI™ maps how county averages hide census-tract environmental-justice burden, power-outage burden and climate stress across all 50 states and DC. It grew from the SEGDA California case study and is built by Victoria Love Franklin from CDC/ATSDR, DOE/ORNL EAGLE-I, FEMA and U.S. Census data. Every input is fingerprinted and validated before each build.

Open GridAI™ ↗See it in Projects →

For residents and communities

See which neighborhoods in your state carry high burden that a county average would miss.

For health departments and planners

Screen by census tract, not county, when planning for outages, heat and residents who rely on powered medical equipment.

For researchers

Methods, a validation gate that reproduces the published paper, downloadable data, and every source with its fingerprint.

WHAT’S INSIDE
  1. National mapEvery county: hidden people, burden, SVI, outages, climate stress
  2. Inside a stateCensus tracts, with hidden high-burden tracts outlined
  3. California case studyThe original SEGDA analysis, reproduced exactly
  4. Key findingsHidden communities, unequal resilience
  5. Public healthCited health effects of power outages
  6. Methods & auditSources, checks, update schedules, and how to cite

Live at gridaitm.com. GridAI™ is built from fixed, published data releases and adds a new release only after it passes its checks, so this page links to the tool instead of copying its data.

GEOHUB RESEARCH FRAMEWORK

BioGrid Sentinel AI: a digital twin for community preparedness.

BioGrid Sentinel AI is a geospatial digital‑twin framework that links nuclear infrastructure resilience with community health preparedness. It connects infrastructure, environmental context and public‑health data in one spatial model, to show where environmental vulnerability and preparedness needs meet around critical infrastructure. It is a Franklin HUB SMART Center research framework, built by Victoria Love Franklin.

See it in Projects →See the research profile →

WHAT IT CONNECTS
  1. Digital twinA virtual model of infrastructure and the communities around it
  2. Nuclear infrastructure resilienceHow critical facilities and the systems they depend on hold up under stress
  3. Community health preparednessReadiness of nearby communities and health systems
  4. Environmental vulnerabilityEnvironmental conditions that raise community risk
  5. Geospatial AISpatial analysis and machine learning across all layers
  6. Peer reviewFramework paper accepted at EAI SmartGIFT 2026

Status: research framework, not yet a public web tool. The paper BioGrid Sentinel AI: A Geospatial Digital Twin Framework for Nuclear Infrastructure Resilience and Community Health Preparedness was accepted at the 10th EAI SmartGIFT 2026 (Springer LNICST, November 12–13, 2026, Tempe, Arizona and virtual).