🔥Call for papers on empirical Agent-based modelling! 🔥 We are calling for papers reporting on modelling work that is strongly related to empirical evidence, i.e. the opposite of theoretical explorations. This relationship might be done in a variety of ways, including (but not limited to): data-led simulation, evidence-based specific of simulations, independent validation checks, pattern-based validation, cross-validation or any combination of these. Since this area of research is still underexplored, we do not have strict standards. Instead, we provide a series of examples of what might be in scope: Qualitatively comparing multiple outcomes against multiple datasets Quantitatively comparing the micro dynamics against empirical data Quantitatively comparing model’s outputs with macroscopic patterns to observe the model’s predictive ability Quantitatively deriving an ABM from dynamic data Comparing to data multiple models sharing same assumptions Exploring the effect of data properties and measurement errors on models Critiques, reviews, philosophical or methodological papers that significantly advance the science of strongly empirical simulation will be considered but we would prefer work doing strongly empirical simulation. Works whose only relationship to empirical data consists of empirical calibration - i.e. fitting models to some data - are not in scope here. Submission This special track is part of the Social Simulation Conference 2024, 16-20 September, Cracow, Poland. Thus, you can apply through the respective portal. ssc2024.uek.krakow.pl/ Please note the following dates Submission Deadline: 08 May 2024 Notification of Acceptance: 30 June 2024 Final Version Submission: 05 September 2024 Best regards Dino and Bruce