The COVID-2020 workshop focuses on all aspects of modeling, simulating, mining, and understanding the spatial processes and patterns of the spread of COVID-19 and other infectious diseases. This cross-disciplinary workshop is a forum to bring together researchers in the SIGSPATIAL community as well as researchers in epidemiology. Also, this workshop is of interest to everyone who works with infectious disease data and models (not necessarily COVID19). In addition to paper presentations, this workshop will feature invited speakers keynotes from experts across the SIGSPATIAL community and epidemiology.
Call For Papers (PDF)
The workshop seeks high-quality full (8-10 pages) and short (4 pages) papers that have not been published in other academic outlets and are not concurrently under peer review. Once accepted, at least one author is required to register for the workshop and the ACM SIGSPATIAL conference, as well as attend the workshop to present the accepted work which will then appear in the ACM Digital Library.
Example topics include, but not limited to:
|* Contact Tracing||* COVID-19 Tracking and Data Collection|
|* COVID-19 Data Cleaning and Wrangling||* Disease Spread Simulation|
|* COVID-19 Data Mining||* Managing Uncertainty in COVID-19 Data|
|* COVID-19 Data Query Processing||* Mapping and Visual Analytics of COVID-19|
|* COVID-19 Effects on Human Mobility||* Prescriptive Analytics for COVID-19|
|* COVID-19 Hotspot Detection||* Socioeconomic Impact of COVID-19|
|* COVID-19 Simulation and Modeling||* Spatial Analysis of COVID-19|
|* COVID-19 and Social Media||* Spatially Explicit COVID-19 Prediction Models|
September 30, 2020
October 9, 2020
November 03, 2020
Andreas Züfle (George Mason University)
Taylor Anderson (George Mason University)
Jia Yu (Washington State University)
More to be announced!
Online. Seattle, Washington
Nicholas G Reich is an Associate Professor of Biostatistics at the University of Massachusetts Amherst. He received a PhD in Biostatistics from Johns Hopkins School of Public Health. His research team at UMass has developed statistical methods and open-source tools for creating probabilistic, ensemble forecasts of infectious disease outbreaks in real-time. His team leads two international infectious disease forecasting consortia, including the FluSight Network and the COVID-19 Forecast Hub. Dr. Reich is the director of an Influenza Forecasting Center of Excellence, funded by the U.S. Centers for Disease Control and Prevention (CDC). Read more about his research lab at https://reichlab.io
The tentative schedule will be released soon
|11:10||A critical evaluation of COVID-19 pandemic forecasts Nicholas Reich,University of Massachusetts Amherst||TBA|