(apologies for cross posting)
https://statds.org/events/webinar_dsa2020/index.htmlRegistration is free but required to get a link to the event. The
capacity is up to 1000 connections.
+ Friday, 04/17/2020, 11 am EDT, Dr. Peter X. Song: An epidemiological
forecast model and software assessing interventions on COVID-19
epidemic in China.
+ Friday, 04/24/2020, 10 am EDT, Dr. Song Xi Chen: Tracking
reproductivity of COVID-19 epidemic in China with varying coefficient
SIR model.
+ More webinars TBA
The global pandemic of COVID-19 presents challenges as well as
opportunities for data scientists to make real-time and real-world
impacts. A large body of new data and research results have
accumulated rapidly to better understand COVID-19, its transmission,
incubation, and impacts on public health, economics, environment, and
society, as well as mitigation strategies and vaccine development.
Data scientists are playing critical roles on many fronts such as
forecasting and mapping the outbreak, designing clinical trials,
surveying public anxiety level, and making policy recommendations,
among others.
Initiated by the ASA Section on Statistical Learning and Data Science
and the Journal of Data Science, this webinar series aims to promptly
disseminate the newest data science methods, tools, and findings in
response to the outbreak of COVID-19, facilitate the exchange of
research ideas, and engage collaborations of data scientists worldwide
to make a real impact in solving the COVID-19 crisis.
Cosponsorship, suggestions on the series, and recommendations of
speakers are welcome.
Contacts:
Dr. Jun Yan,
jun.yan@uconn.eduDr. Hao Helen Zhang,
hzhang@math.arizona.edu