Data Science Conference on COVID-19 [DSCC-19]

August 28th - 10:00 am to 5:30 pm

About this Conference

The Data Science Conference on COVID-19 will showcase open source technology and code used to model and analyze the COVID-19 pandemic and will highlight best practices in replicable and reproducible science.   Presentations will explore epidemic models of the virus and the pandemics affect on the economy, transportation, the environment, the society and beyond. This conference will provide an opportunity researchers to have their work reviewed and validated by their peers. In a push to encourage transparency, all presentations will provide a link to the projects source code.

Call for Abstracts

The organizing committee are currently accepting abstracts to the Data Science Conference on COVID-19. The submission deadline is Thursday, August 13th. You will be notified if your submission is accepted by Tuesday, August 18th.  If you wish to submit your work please fill out this online form, or click this link: https://forms.gle/ELoQfUJtTYL1S8TV8  And also register for the event.

Registration

Registration is free.  To register for this event click this eventbrite link: https://www.eventbrite.com/e/online-data-science-conference-on-covid-19-dscc-19-tickets-112164248286

Organizing Committee

Benjamin Ortiz - Ulloa ortizulloabenjamin@gmail.com
Jun  Yan  - jun.yan@uconn.edu
Mike Jadoo  - datamike8@gmail.com
Donna LaLonde
Wendy Martinez


Agenda

The event agenda will be announced before the event day. 

Details will be posted here when they become available.

Event Type

Sponsor

American Statistical Association
Journal of Data Science
National Institute of Statistical Sciences

Cost

Registration is free.

Location

Online Webinars