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

Submission Information

Submission deadline

September 30, 2020

Author notification

October 9, 2020

Workshop date

November 03, 2020

Submission site


Organization Committee

General Chairs

Andreas Z├╝fle (George Mason University)

Program Chairs

Taylor Anderson (George Mason University)

Jia Yu (Washington State University)

Program Committee

Michael Desjardin
Zipei Fan
Song Gao
Alexander Hohl
More to be announced!


Online. Seattle, Washington


  • Nicholas Reich

    Nicholas Reich

    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

    Talk: A critical evaluation of COVID-19 pandemic forecasts


The tentative schedule will be released soon

Time Session Description
11:10 A critical evaluation of COVID-19 pandemic forecasts Nicholas Reich,University of Massachusetts Amherst TBA