{
  "id": 2241427,
  "title": "Researchers build 'digital twin' to model Manhattan air quality",
  "url": "https://urgent.news/2026/08/20/researchers-build-digital-twin-to-model-manhattan-air-quality",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-20T22:40:07.000Z",
  "source": {
    "name": "Phys.org",
    "slug": "phys-org",
    "url": "https://phys.org/news/2026-08-digital-twin-manhattan-air-quality.html"
  },
  "original_language": "en",
  "account": null,
  "summary": "Researchers at Cornell University have developed a digital twin framework to create a real-time virtual representation of urban carbon dioxide conditions in Manhattan, providing a tool for city planners to monitor emissions, identify hotspots, and evaluate potential interventions before implementing them. The Sustainable Urban Digital Twin uses four layers of modular architecture that work together to collect data, model it, analyze it using machine learning, and provide actionable insights for decision-makers. This prototype successfully integrated data from various sources in Manhattan, monitored carbon dioxide levels, quantified uncertainty, and generated visualizations of conditions across the city. The researchers chose Manhattan as their pilot site due to its dense and complex urban environment, which presented a significant challenge for the digital twin's capabilities.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}