There will be several tutorials. Please see below the list and schedule of the tutorials.

Time	Tutorial #1
October 15, 2025, 08:00 - 10:00	Introductory Tutorial on Agent-Based Modeling Charles M. Macal, Ph.D., Decision & Infrastructure Sciences Division, Argonne National Laboratory, Lemont IL, USA Tutorial abstract: Agent-based modeling (ABM) and simulation is an approach to modeling systems comprised of autonomous, interacting agents. The need for modeling complex and adaptive systems comprised of populations of natural (people, organizations, communities) and engineered (drones, robotic swarms) entities continues to drive the application of ABM in a variety of application areas, including those where simulation has not been extensively applied. Applications range from modeling agent behavior in supply chains, consumer goods markets, and financial markets, to predicting the spread of epidemics and providing insights on the factors responsible for the growth and fall of ancient civilizations. ABM is having far-reaching effects on the way that governments and businesses use computer models to support decision-making and how researchers use models as in silico electronic laboratories. Some contend that ABM “is a third way of doing science” and could augment traditional discovery methods for knowledge generation. This brief tutorial introduces agent-based modeling by describing key concepts of ABM, discussing some illustrative applications, and addressing toolkits and methods for developing agent-based models.

Time	Tutorial #2
October 16, 2025, 08:00 - 10:00	How to Publish/Evaluate your Model Luke J. Osterritter, Doctoral Researcher, Center for Computational Analysis of Social and Organizational Systems (CASOS), Carnegie Mellon University, Pittsburgh, PA, USA Tutorial abstract: Who are the most prolific scholars in a given field of study? Where are the different academic communities – the "invisible colleges" that form organically through the exchange of ideas, but span multiple organizations and cross geographic lines? Which topics and ideas characterize an academic field? Which of these represent the focus of the academic community, and where might there be gaps upon which we should focus our efforts? In this tutorial, participants will learn what kinds of scholarly literature exist, ways to appropriately scope literature searches, tools and techniques for finding, storing, screening, and cleaning citation data, and how to perform bibliometric techniques to answer the above questions and more. We will provide a survey of tools that can be used in each step of the process, though the topics covered will afford you the methodological foundations to use the tools of your choice on data from across various academic disciplines. This tutorial is geared toward doctoral students, faculty, and research staff from any academic discipline with a need or desire to perform in-depth analyses of citation data.

Time	Tutorial #3
October 17, 2025, 08:00 - 10:00	How to Evaluate and Publish your Model Frank Ritter, Ph.D., Professor, Pennsylvania State University, PA, USA Tutorial abstract: This tutorial introduces the basic concepts in evaluating a model. After debunking the concept of proving a model, this chapter presents the case that you would like to do two fundamental things: show that the model is worth taking seriously, both to yourself and to others, and to know where to improve it. I note non-numeric, numeric, and advanced methods that have been used, using a scorecard as a way to summarize the fit. The tutorial will also address interactions of these tasks with publishing your model. The tutorial provides general comments on publishing reports of models and the steps in modeling and simulation.I note the importance of writing and of the final results. I provide a detailed process for handing the preparation, submission, and revision of a paper reporting a model, particularly about the importance of staying in touch with stakeholders.