Call For Papers: ACM TSAS Special Issue on Geosimulation (Deadline Extended)

Call For Papers

ACM Transactions on Spatial Algorithms and Systems (TSAS)

Special Issue on Geosimulation

Guest Editors

• Joon-Seok Kim, Emory University
• Andreas Züfle, Emory University
• Yao-Yi Chiang, University of Minnesota

Simulating past, present, and future events and phenomena in geospatial worlds empowers us to understand the fundamental composition and evolution of complex systems, forecast the course of complex dynamics, and prepare for numerous scenarios. Across the globe, researchers seek to model and simulate complex systems and phenomena such as cities, economies, civilizations, the spread of epidemics, transportation, urbanization, and migration to address global challenges, including the climate crisis, pandemics, international conflicts, deforestation, and sustainability.

Spatial algorithms and systems play a pivotal role in geosimulation, leveraging the community’s expertise in managing, modeling, querying, and mining spatial and spatiotemporal data. To date, the spatial algorithms and systems community has made a wide range of contributions to geosimulation, including acquiring and making available datasets to understand human mobility; improving our understanding of the spread of epidemics through geosimulation; enhancing land cover change prediction through simulation; and improving our understanding of human behavior through geosimulation. However, a wide range of questions and challenges remain unanswered, including gaining a deeper understanding of the relationship between human mobility and the spread of infectious diseases, improving spread prediction, and testing and implementing mitigative measures.

This special issue intends to bring together transdisciplinary researchers and practitioners from multiple areas, including Spatial Data Scientists (e.g., geographic information systems, databases, storage, big data, data mining, machine learning, security/privacy), Mathematicians, Epidemiologists, Computational Social Scientists, Psychologists, and Emergency Response and Public Safety experts, among others.

Topics of interest include (but are not limited to):

• Geosimulation Models and Applications
• Open Source General-Purpose Geosimulation Framework
• Simulated Geospatial Data Generation Framework
• Generative AI for Geosimulation
• Simulation for Geospatial Foundation Models
• AI and Geosimulation
• Spatial Data Science and Geosimulation
• Large-Scale Geosimulation
• Geosimulation and Intervention
• Geosimulation for Epidemiology
• Validation and Verification for Geosimulation
• Visual Analytics for Geosimulation
• Digital Twin Geosimulation

Manuscripts will be reviewed as they are received, but no later than the date shown below.

Important Dates

• Deadline for submissions of full-length papers: October 31, 2025
• First-round review decisions: December 15, 2025
• Deadline for revision submissions: February 1, 2026
• Notification of final decisions: March 15, 2026
• Tentative publication: May 2026

Submission Information

The journal welcomes articles on any of the above topics or closely related disciplines in the context of geosimulation. TSAS will encourage original submissions that have not been published or submitted in any form elsewhere, as well as submissions that may significantly contribute to opening up new and potentially important areas of research and development. TSAS will also publish outstanding papers that are "major value-added extensions" of papers previously published at conferences. Such extensions should contribute at least 30% new original work. In this case, authors will need to identify the list of extensions over their previously published paper in a separate document. For more information, please visit https://tsas.acm.org/authors.cfm or contact the special-issue guest-editors at tsas-geosimulation@acm.org.

Authors of papers accepted in this special issue by the end of September 2025 that are not an extension of a previous conference paper, will be offered to present their paper at ACM SIGSPATIAL 2025. This will be an oral presentation (not a poster).

Call for Papers: ANNSIM 2023

2023 ANNUAL MODELING AND SIMULATION CONFERENCE

MAY 23 - 26, 2023
MOHAWK COLLEGE, ONTARIO, CANADA, IN-PERSON CONFERENCE

CALL FOR PAPERS

The 2023 Annual Modeling and Simulation Conference (ANNSIM’23) is the annual flagship conference sponsored by The Society for Modeling and Simulation International (SCS), which covers state-of-the-art developments in Modeling & Simulation (M&S). ANNSIM’23 invites original contributions to the theory, methodology, and practice of modeling and simulation in any scientific or engineering discipline. The following is the list of main tracks at ANNSIM’23.

• Annual Simulation Symposium (ANSS)
• Cyber Physical Systems (CPS)
• Emerging Topic –Digital Twins (ET-DT)
• Humans, Societies and Artificial Agents (HSAA)
• Machine Learning and Simulation (ML&S)
• M&S in Cybersecurity (MSC)
• M&S in Medicine (MSM)Annual Simulation Symposium (ANSS)
• Cyber Physical Systems (CPS)
• Emerging Topic –Digital Twins (ET-DT)
• Humans, Societies and Artificial Agents (HSAA)
• Machine Learning and Simulation (ML&S)
• M&S in Cybersecurity (MSC)
• M&S in Medicine (MSM)
• Theory and Foundations for Modeling and Simulation (TMS)
• Simulation of Architecture and Urban Design (SimAUD)
• Sustainability and Energy Systems (S&ES)
• Symposium on Performance Evaluation of Computer and Telecommunication Systems/Communications and Network Simulation (SPECTS/CNS)
• Simulation Education and Simulation-Based Learning (SimEd)

Authors interested in other M&S topics are encouraged to submit their papers, which will be assigned to an appropriate track by the program chair. Choose the “Let Program Chair Decide” option in the submission system.
The conference includes keynote speeches presented by technology and industry leaders, technical sessions, and tutorials for professional development. Scientists, engineers, managers, educators, and business professionals who develop or use M&S methodologies and tools are invited to participate and present original contributions.

Technical papers: Original, high-quality technical papers are solicited for peer review, presentation, and subsequent publication in the conference proceedingsif accepted. Papers are max 12 pages long with single column format. Visit the Author Kit page for more information: https://scs.org/authorskit

Important Dates

• Paper Submission: January 29th, 2023 (Extended), 2023
• Author Notification: March 7th, 2023
• Camera-Ready Paper Submission: March 20th, 2023
• Conference: May 23-26, 2023

Machine Learning and Simulation (MLS)

Chair: Joon-Seok Kim, Co-Chair: Andreas Züfle

CALL FOR PAPERS

Modeling and simulation (M&S) have advanced our understanding of complex systems, have improved our ability to predict future states, and have been leveraged to prescribe (near-)optimal interventions and policies in many different application areas. In the enterprise of exploring such complex systems, artificial intelligence and machine learning (AI/ML) have the potential to improve our ability to optimize simulation parameters, to train agent/actor behavior throughout simulations, and to evolve the simulation environment based on observations. The vision of this track is to push the boundaries of human understanding by marrying M&S with AI/ML.
This Machine Learning and Simulation (MLS) track is a dedicated forum to exchange our views, ideas, research methods, and applications to resolve the scientific questions of what and how cutting-edge AI/ML methods can synergize M&S and vice versa. This track explores M&S practices to which AI/ML methods are applied such as knowledge reasoning, computer vision, natural language processing, deep learning, and reinforcement learning.
In this track, we are seeking papers on original contributions across all modes of M&S leveraging AI/ML and interdisciplinary contributions that advance the state of the arts in AI/ML. This track will use the traditional format of having oral paper presentations. Topics of interest include, but not limited to:

• Advancing validation and verification (V&V) using AI and ML
• AI and ML methods for training and evolving agents
• Best practices of convergence of AI and Simulation
• Empirical comparisons of state-of-the-art AI and ML methods in M&S
• Facilitating experimentation using AI and ML
• M&S to improve AI and ML solutions
• Simulation modeling tools and methods based on AI and ML
• Simulation optimization using AI and ML
• Visionary methodology of AI and ML in simulation

Please visit the official web page (https://scs.org/annsim/) for full details on the conference and the submission procedure.
If you have any question about the Machine Learning and Simulation (MLS) track, please contact me.

Call for Papers: ANNSIM 2022

2022 ANNUAL MODELING AND SIMULATION CONFERENCE

JULY 18 - 21, 2022
SAN DIEGO STATE UNIVERSITY, SAN DIEGO, CA, USA, IN-PERSON CONFERENCE

CALL FOR PAPERS

ANNSIM 2022 is the flagship conference of SCS to showcase state-of-the-art developments in Modeling & Simulation (M&S). We invite original contributions to the theory, methodology, and practice of M&S in all scientific and engineering disciplines. The conference is organized around a set of technical tracks that includes:

• AI and Simulation (AIS)
• Annual Simulation Symposium (ANSS)
• Cyber Physical Systems (CPS)
• High Performance Computing and Simulation (HPC)
• Humans, Societies and Artificial Agents (HSAA)
• M&S Based Systems Engineering (MSBSE)
• M&S for Smart Energy Systems (MSSES)
• M&S in Cyber Security (MSCS)
• M&S in Medicine (MSM)
• Theory and Foundations for Modeling and Simulation (TMS)
• Simulation of Architectural and Urban Design (SimAUD)
• Symposium on Performance Evaluation of Computer and Telecommunication Systems / Communications and Network Simulation (SPECTS/CNS)
• Emerging Topic – Supply Chain Modeling (ET-SCM)

ANNSIM 2022 will be held in the beautiful city of San Diego, CA (USA), at the Sand Diego State University. The conference includes keynote speeches presented by technology and industry leaders, technical sessions, as well as professional development tutorials. Scientists, engineers, managers, educators, and business professionals who develop or use M&S methodologies and tools are invited to participate and present original contributions.
All accepted research papers will be included in the conference proceedings and archived in both the ACM Digital Library and IEEE Xplore and will be indexed in the most popular indexing engines (Scopus, DBLP, etc.). Best papers will also be considered for a special issue of SIMULATION: Transactions of the Society for Modeling and Simulation International.
Besides technical papers, submissions of the following types of contributions and/or proposals are also welcome:

• Tutorials (max 2 hours). A tutorial proposal includes a tutorial description (max 2 pages) to be submitted to the tutorial track. In addition, a tutorial may submit a full paper to one of the technical tracks. The full paper will go through a review process and be included in the conference proceedings if accepted.
• Posters and live demonstrations to be given during the conference, submitted through an extended abstract (max 2 pages)

Important Dates

• Paper Submission: March 28, 2022 (Extended)
• Tutorial Proposal Submission: March 28, 2022 (Extended)
• Author Notification: May 9, 2022 (Extended)
• Camera-Ready Paper Submission: May 30, 2022 (Extended)

AI and Simulation (AIS)

Chair: Joon-Seok Kim, Co-Chair: Andreas Züfle

Modeling and simulation (M&S) have advanced our understanding of complex systems, have improved our ability to predict future states, and have been leveraged to prescribe (near-)optimal interventions and policies in many different application areas. In the enterprise of exploring such complex systems, artificial intelligence and machine learning (AI/ML) have the potential to improve our ability to optimize simulation parameters, to train agent/actor behavior throughout simulations, and to evolve the simulation environment based on observations. The vision of this track is to push the boundaries of human understanding by marrying M&S with AI/ML.

This AI and Simulation (AIS) track is a dedicated forum to exchange our views, ideas, research methods, and applications to resolve the scientific questions of what and how cutting-edge AI/ML methods can synergize M&S and vice versa. This track explorers M&S practices to which AI/ML methods are applied such as knowledge reasoning, computer vision, natural language processing, deep learning, and reinforcement learning.

In this track, we are seeking full papers (up to 12 pages) on original contributions across all modes of M&S leveraging AI/ML and interdisciplinary contributions that advance the state of the arts in AI/ML. This track will use the traditional format of having oral paper presentations. Topics of interest include, but not limited to:

• Advancing validation and verification (V&V) using AI and ML
• AI and ML methods for training and evolving agents
• Best practices of convergence of AI and Simulation
• Empirical comparisons of state-of-the-art AI and ML methods in M&S
• Facilitating experimentation using AI and ML
• M&S to improve AI and ML solutions
• Simulation modeling tools and methods based on AI and ML
• Simulation optimization using AI and ML
• Visionary methodology of AI and ML in simulation

Please visit the official web page (https://scs.org/annsim/) for full details on the conference and the submission procedure.
If you have any question about the AI and Simulation (AIS) track, please contact me.