We help secure a sustainable future for generations to come by designing, developing, and implementing policy-relevant computer simulation models that forecast social outcomes in contexts that include human interaction with natural systems. Our models apply SOSIEL (Self-Organizing Social & Inductive Evolutionary Learning) - a rapidly developing theory that describes the relationship among cognitive, behavioral, social, and demographic processes. Among the supporting resources is the open-source multi-agent SOSIEL Algorithm, which operationalizes SOSIEL and can be embedded within a computer simulation model to simulate cognitive agents that interact among themselves and with natural systems. Another resource is a work-in-progress textbook, titled Foundations of Modeling Coupled Human & Natural Systems: A Process- & Feedback-Oriented Approach. The textbook introduces SOSIEL's theoretical foundations and is used as the main text in two undergraduate courses: Modeling Social-Ecological Systems and Introduction to Agent-Based Modeling. Please contact us with any questions, feedback, or suggestions.