Tuesday, December 12, 2023

Book Chapter: GeoAI for Public Health

Our book, Handbook of Geospatial Artificial Intelligence edited by Song Gao, Yingjie Hu, and Wenwen Li, is published. It is my pleasure to contribute to the comprehensive handbook as a co-author of the chapter, GeoAI for Public Health. Special thanks to Andreas Züfle for his lead in writing the chapter.


GeoAI for Public Health

By Andreas Züfle, Taylor Anderson, Hamdi Kavak, Dieter Pfoser, Joon-Seok Kim, Amira Roess.
BookHandbook of Geospatial Artificial Intelligence
Edition1st Edition
First Published2023
ImprintCRC Press
eBook ISBN9781003308423


Infectious disease spread within the human population can be conceptualized as a complex system composed of individuals who interact and transmit viruses through spatio-temporal processes that manifest across and between scales. The complexity of this system ultimately means that the spread of infectious diseases is difficult to understand, predict, and respond to effectively. Research interest in GeoAI for public health has been fueled by the increased availability of rich data sources such as human mobility data, OpenStreetMap data, contact tracing data, symptomatic online surveys, retail and commerce data, genomics data, and more. This data availability has resulted in a wide variety of data-driven solutions for infectious disease spread prediction which show potential in enhancing our forecasting capabilities. This chapter (1) motivates the need for AI-based solutions in public health by showing the heterogeneity of human behavior related to health, (2) provides a brief survey of current state-of-the-art solutions using AI for infectious disease spread prediction, (3) describes a use-case of using large-scale human mobility data to inform AI models for the prediction of infectious disease spread in a city, and (4) provides future research directions and ideas.

20% Discount Available - enter the code AFL04 at checkout. For more information visit: www.routledge.com/9781032311661

Friday, September 8, 2023

Call for Papers: GeoSim 2023

6th ACM SIGSPATIAL International Workshop on Geospatial Simulation (GeoSim 2023)

November 13, 2023 @ Hamburg, Germany


The GeoSim 2023 workshop focuses on all aspects of geospatial simulation as a paradigm to understand, model, and predict spatial phenomena and aid decision making. New simulation methodologies and frameworks, not necessarily coming from the SIGSPATIAL community, are encouraged to participate. Also, this workshop is of interest to everyone who works with spatial data. The simulation methods that will be presented and discussed in the workshop should find a wide application across the community by producing benchmark datasets that can be parameterized and scaled.  Simulated data sets will be made available to the community via the website.

The workshop seeks high-quality full (8-10 pages) and short (up to 4 pages) papers that will be peer-reviewed. 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.


We solicit novel and previously unpublished research on all topics related to geospatial simulation including, but not limited to:

  • Disease Spread Simulation
  • Urban Simulation
  • Agent Based Models for Spatial Simulation
  • Multi-Agent Based Spatial Simulation
  • Big Spatial Data Simulation
  • Spatial Data/Trajectory Generators
  • Road Traffic Simulation
  • Environmental Simulation
  • GIS using Spatial Simulation
  • Modeling and Simulation of COVID-19
  • Interactive Spatial Simulation
  • Spatial Simulation Parallelization and Distribution
  • Geo-Social Simulation and Data Generators
  • Social Unrest and Riot Prediction using Simulation
  • Spatial Analysis based on Simulation
  • Behavioral Simulation
  • Verifying, and Validating Spatial Simulations
  • Applications for Spatial Simulation


Submission deadline:

September 15, 2023

Author notification:

October 9, 2023

Workshop date:

November 13, 2023


Paper Format:

Manuscripts should be submitted in PDF format and formatted using the ACM camera-ready templates available at https://www.acm.org/publications/proceedings-template. Submissions to GeoSim 2023 are single-blind -- i.e., the names and affiliations of the authors should be listed in the submitted version.

Submission site:


For more information, please visit the GeoSim website (https://geosim.org). If you have any question regarding GeoSim 2023, please contact me.