AI4Pandemics Talk#7: Colleen Lau, The University of Queensland
Title: CRISPER: COVID-19 Real-time Information System for Preparedness and Epidemic Response
Abstract: A major challenge during the COVID-19 pandemic has been the need to share data and information public while protecting data privacy. Effective communication of real-time data is critical for informing risk assessment and decision making, and to support a unified national response. Real-time dashboards have become important platforms for information sharing during the COVID-19 pandemic. This presentation will describe the development of CRISPER, a COVID-19 Real-time Information System for Preparedness and Epidemic Response, including the challenges experience. CRISPER includes a suite of interactive visualisation and mapping tools and automatic alerts for COVID-19 cases, deaths, testing, and contact tracing exposure sites across Australia. The system also allows the use of differential privacy algorithms to protecting data privacy.
About AI4PAN Artificial Intelligence for Pandemics Seminar Series centred at UQ
Welcome to AI4PAN, the Artificial Intelligence for Pandemics group centered at The University of Queensland (UQ). The group's focus is the application of data science, machine learning, statistical learning, applied mathematics, computation, and other "artificial intelligence" techniques for managing pandemics both at the epidemic and clinical level.