{
  "id": 16996008,
  "title": "Meet Bowen Wang: Seventh grader wins $3,500 for AI aftershock prediction too",
  "url": "https://urgent.news/2026/10/29/meet-bowen-wang-seventh-grader-wins-3-500-for-ai-aftershock",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-29T02:20:00.000Z",
  "source": {
    "name": "Times of India",
    "slug": "times-of-india",
    "url": "https://timesofindia.indiatimes.com/science/earth/meet-bowen-wang-the-san-carlos-seventh-grader-who-built-an-ai-tool-to-predict-earthquake-aftershocks-and-won-a-3500-first-place-national-technology-award/articleshow/135278996.cms"
  },
  "original_language": "en",
  "account": "In the 2026 Thermo Fisher Scientific Junior Innovators Challenge, a seventh-grader from San Carlos, California, named Bowen Wang, emerged as the victor in the Technology category. Wang constructed an artificial intelligence tool, dubbed Aftershock Oracle, capable of predicting aftershock patterns following a significant earthquake. The program forecasts where, when, and how powerful those secondary quakes will be, as well as the likelihood of their occurrence.\n\nBorn and raised near the San Andreas Fault, Bowen's personal experience with earthquakes influenced his research. Over a year, he had been awakened by numerous seismic events, prompting him to investigate the predictability of aftershocks. While predicting the main earthquake remains a challenge for scientists, Bowen discovered that aftershocks adhere to discernible physical patterns that correlate with the initial quake, making them more amenable to data-driven study.\n\nWang's Aftershock Oracle utilizes machine learning algorithms to analyze decades of earthquake data from the United States Geological Survey, spanning from 1950 to 2025. He examined the edge of tectonic plates, isolated the initial earthquakes from subsequent aftershocks, and compared three distinct models – Logistic Regression, Random Forest, and Extreme Gradient Boosting (XGBoost). His analysis revealed that XGBoost provided the most accurate predictions, which Wang subsequently incorporated into a custom interface.\n\nThe interface allows users to input key parameters of the initial earthquake, such as its magnitude, depth, and epicenter location. Based on this information, the system generates probabilistic forecasts regarding the aftershock's location, timing, and severity in surrounding areas. This tool emphasizes the often-overlooked dangers posed by aftershocks, which can lead to issues for emergency responders, damaged infrastructure, and communities trying to rescue trapped individuals.\n\nThe Thermo Fisher Scientific Junior Innovators Challenge, a top national STEM competition for middle school students, selected 30 finalists from countless entries across the U.S. Bowen progressed to the national stage after presenting his research at local and regional science fairs, including the San Mateo County Science and Engineering Fair. At the final judging rounds held in Washington, D.C., a panel of experts assessed the finalists based on scientific rigor, technical problem-solving skills, and their ability to communicate their work effectively.\n\nBowen Wang's First Place Technology Award includes a $3,500 prize to support his education and ongoing research endeavors. His winning project highlights the potential for young researchers to create practical tools for public safety and disaster management using freely available, open-source data. After high school, Bowen aspires to study structural and civil engineering, with the ultimate goal of establishing his own firm that combines modern design with environmental responsibility. In his role as a 2026 Thermo Fisher Junior Innovator Ambassador, Wang aims to inspire young students across the country to engage in independent research projects.",
  "summary": "Bowen Wang, a 12-year-old student from California, has won a national technology prize for his innovative work. He created an artificial intelligence tool called Aftershock Oracle that forecasts earthquake aftershocks. This project utilized decades of data from the United States Geological Survey to make accurate predictions. Bowen's achievement highlights the potential of young researchers in…",
  "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."
}