The Defense Advanced Research Projects Agency (DARPA) is seeking innovative research concepts for the Methodological Advancements for Generalizable Insights into Complex Systems (MAGICS) program. The goal of the program is to develop new methods and paradigms for modeling collective human behavior, capable of overcoming the limits of statistical approaches to accurately predict complex social phenomena. The program aims to address the challenges of understanding human behavior in complex, dynamic, and evolving systems. Some key areas of interest include: • Data inference boundaries and limitations • Alignment validation limitations • Adaptation limitations and model obsolescence • Psychosocial domain limitations • Complex phenomena Proposers are expected to submit abstracts that clearly articulate an approach to design a systematic method for identifying the limits or boundaries of inference from data sources in understanding social systems and the psychological domain. The abstracts should also provide a substantial technical argument that the proposed approach has the potential to significantly advance the current state-of-the-art in modeling human behavior in complex, dynamic systems.