Predicting Infectious Diseases with AI and Statistics... The 46th Hallim International Symposium Held
[Sejong=Asia Economy Reporter Moon Chaeseok] The Statistics Development Institute of Statistics Korea announced that it will jointly hold the 46th Hallim International Symposium on the 31st with the Korean Academy of Science and Technology and the National Research Council for Economics, Humanities and Social Sciences under the theme "New Frontier of COVID-19 Predictive Research and Data-Driven Policy."
At the symposium, leading domestic scholars in statistics, mathematics, epidemiology, public health, and economics will gather in one place to discuss the current status and prospects of infectious disease predictive science using artificial intelligence (AI) and big data, transcending academic boundaries to overcome COVID-19.
Twelve experts in infectious disease predictive science and policy from the U.S., Canada, Hong Kong, and Korea have been invited to present and discuss ▲ reflections on COVID-19 prediction techniques based on big data and AI technology ▲ diagnosis of the current use of infectious disease prediction techniques in domestic and international medical fields ▲ evaluation of quarantine and vaccine policy effectiveness and medical system innovation plans ▲ prospects and challenges of AI-based infectious disease predictive science. The symposium will be broadcast live through the Hallim Academy's YouTube channel.
Prime Minister Chung Sye-kyun stated, "In the tunnel of uncertainty called COVID-19, the solution to overcome it is data," adding, "I hope that discussions on COVID-19 prediction systems using big data and AI will serve as a catalyst to advance not only K-quarantine but also K-recovery and ultimately global recovery."
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Jeon Young-il, Director of the Statistics Development Institute, said, "The collaboration of three domestic institutions leading a country's science and technology, humanities, social and economic policies, and data and statistical science with world experts on infectious diseases presents a fresh international model of public-private cooperation," and added, "We expect innovative collective insights that will lead the future of predictive national governance."
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