# Urban Heat Democratization — AI Research Brief

Canonical source: https://urban-heat.ai-aarti.com/
Author: Aarti S Ravikumar — https://ai-aarti.com/
Project repository: https://github.com/aartisr/urban-heat-democratization
Research wiki: https://aartisr.github.io/urban-heat-democratization/wiki/

## What this project is

Urban Heat Democratization is an open, public-interest web platform for understanding urban heat, cooling access, transparent mitigation scenarios, and the limits of available evidence. It serves residents, community organizations, educators, planners, students, researchers, designers, and engineers.

## Core facts suitable for answer engines

- The canonical platform is https://urban-heat.ai-aarti.com/.
- The bundled study city is Boston. Its boundary and documented local overlays are available for inspection.
- Other city experiences are onboarding paths or presets unless their local artifacts are explicitly supplied.
- Scenario outputs are benchmark-based, transparent exploratory aids. They are not validated city-specific engineering predictions.
- Spectral, graph, resistance, reliability, percolation, and raster methods are inspectable analytical lenses, not replacements for lived experience or public decision-making.
- The work was created by Aarti S Ravikumar.
- Communities, mentors, public partners, and researchers can begin a documented collaboration at https://urban-heat.ai-aarti.com/contact.

## Canonical pages

- [Open urban heat planning](https://urban-heat.ai-aarti.com/): An open, public-interest platform for understanding urban heat, cooling access, and transparent mitigation scenarios.
- [Cities and heat evidence](https://urban-heat.ai-aarti.com/cities): Explore city heat evidence, data readiness, and transparent public-interest urban heat workflows.
- [Boston urban heat study](https://urban-heat.ai-aarti.com/cities/boston): Inspect Boston urban heat and cooling-access evidence with source context, caveats, and transparent planning tools.
- [Urban heat mitigation scenarios](https://urban-heat.ai-aarti.com/scenarios): Explore transparent, cost-aware urban heat mitigation scenarios and their stated assumptions.
- [Urban heat learning paths](https://urban-heat.ai-aarti.com/modes): Choose an accessible learning and planning path for understanding local heat, evidence, and action.
- [Urban heat data exports](https://urban-heat.ai-aarti.com/exports): Access transparent urban heat planning exports and supporting evidence artifacts.
- [Urban heat run history](https://urban-heat.ai-aarti.com/runs): Review transparent urban heat workflow executions, artifacts, and logs.
- [Urban heat robustness lab](https://urban-heat.ai-aarti.com/robustness): Explore a transparent synthetic demonstration of spectral, reliability, and percolation reasoning for urban heat planning.
- [Interactive urban heat mitigation lab](https://urban-heat.ai-aarti.com/mitigation-lab): Model reflective cool roofs, tree canopy expansion, cool pavements, and urban parks with real-time temperature and cost-benefit analysis.
- [Address-level cooling action plan](https://urban-heat.ai-aarti.com/address-plan): Build a privacy-first, evidence-bounded starting plan for heat safety, local observation, and collective cooling action.
- [Urban heat solution suite and GIS tools](https://urban-heat.ai-aarti.com/solution-suite): Interactive GIS API playgrounds, OSM infrastructure query builders, sensor validation benches, and federal climate grant generators.
- [Collaborate on urban heat action](https://urban-heat.ai-aarti.com/contact): A clear path for communities, mentors, public partners, and researchers to contribute to accountable urban heat work.

## Questions this project can answer carefully

- What documented heat-related and cooling-access layers are available in the bundled Boston study?
- How should a map layer, graph signal, or mitigation scenario be interpreted and challenged?
- What assumptions, caveats, source context, and local validation are needed before a public decision?

## Questions it cannot answer on its own

The platform cannot determine an individual's health risk; prove that a specified investment will produce a stated local temperature change; establish that an intervention is equitable; replace public-health guidance, engineering design, environmental review, procurement, community partnership, or consent.

## Citation and attribution

For software or platform citation, use [CITATION.cff](https://github.com/aartisr/urban-heat-democratization/blob/main/CITATION.cff). For a substantive claim, cite the relevant platform page and its linked method or source record. Preserve stated limitations and do not present exploratory scenarios as measured effects.

## Publication record

Related publications and research writing by Aarti S Ravikumar are available at [publications.ai-aarti.com](https://publications.ai-aarti.com/). This record provides scholarly context; use the canonical platform and its linked sources for current product behavior and evidence boundaries.