In response to the COVID-19 pandemic, Michelle Girvan, Daniel Serrano, Juniper Lovato, Anshuman Swain, and Nick Mennona launched Understanding and Exploring Network Epidemiology in the Time of Coronavirus (#Net_COVID), an online workshop series in network biology developed and presented by the University of Maryland’s COMBINE program in partnership with Vermont’s Complex Systems Center.
The series includes tutorials and seminars to contextualize and understand the current COVID-19 global pandemic using network science. Activities include introduction to network epidemiology, review of recent research on coronavirus, and exploration of various modeling and data analysis approaches.
The intended audience for the series includes STEM graduate students, postdocs, faculty, and other researchers who are interested in network epidemiology. A prior background in network science is not necessary, but may be helpful for some optional discussion group activities.
The tutorials and seminars can be viewed on the COMBINE YouTube Channel.
The response to the series has been considerable with approximately 250 participating in the seminars and 150 actively engaging in small working groups. Participants are drawn from around the world, with many from UMD taking part in research projects.
This story was originally published here: https://research.umd.edu/news/news_story.php?id=12993