The broader impacts of this Pathways to Enable Open-Source Ecosystems (POSE) project will be to improve understanding of the human mind by broadening access to a unifying computational framework for modeling human cognition. This framework will then serve as a foundation for cumulative scientific progress across cognitive science, neuroscience, artificial intelligence (AI), and the social sciences. By creating this platform, high-fidelity computational cognitive models of human behavior will become available to a widening group of engineers, programmers, and human factors practitioners. Integrating this technology into current technology infrastructures could positively impact many fields of human activity. Using cognitive models to facilitate human-machine teaming would provide a competitive advantage by enabling a faster, more productive integration of AI tools into the workforce. Unified theories of cognition could extend national leadership in AI by providing the scientific basis for the next generation of robots and intelligent agents. Everyone in society could benefit in the form of smarter systems that work more naturally with humans, resulting in increased satisfaction and productivity. This Pathways to Enable Open-Source Ecosystems (POSE) project aims to develop an open-source ecosystem (OSE) to sustain the development and expansion of the Adaptive Control of Thought-Rational (ACT-R) cognitive architecture. Computational cognitive architectures implementing unifie