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Ambassador Circle Spotlight: Dr. Aidong Zhang, Dr. Hemant Purohit and Dr. Huzefa Rangwala


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Ambassador Circle Spotlight: Dr. Aidong Zhang, Dr. Hemant Purohit and Dr. Huzefa Rangwala
Dr. Hemant Purohit and Dr. HuzefaRangwala, both faculty at George Mason University, and Dr. Aidong Zhang at the University of Virginia share their experience working to host and bring the Association for Computing Machinery s Conference on Knowledge Discovery and Data Mining to Washington, DC. The conference is the premier international forum for data mining and machine learning researchers and practitioners from academia, industry and government.
 
 
Dr. Purohit: I am researching the design of human-centered computing systems using data mining, machine learning and natural language processing for applications to public services, including responding to natural hazards and mitigating societal or manmade crises. I’m working to improve the public services capability for real-time information processing and management in the DC-metro region. ....

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Human-AI teaming for DC-based emergency response -- GCN


By Stephanie Kanowitz
Apr 29, 2021
Members of Montgomery County, Md.’s Community Emergency Response Team (CERT) are using an artificial intelligence-based system to find COVID-related items in Twitter posts that may call for action.
As part of research by a team from Brigham Young University (BYU), George Mason University (GMU), the University of Texas (UT) at Austin and Virginia Tech University, CERT volunteers dubbed the Virtual Emergency Response Team (VERT) are tagging tweets based on relevance to help train the AI to recognize data that indicates a situation that emergency response may want to know about.
Under a grant from the National Science Foundation to study human-AI teaming in emergency response, the researchers had been studying how the AI platform, called CitizenHelper, would work during natural disasters. Last fall, though, they shifted to focus on COVID-19 and spent six months studying tweets posted in the National Capital Region that could in ....

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