My research specialties are methodology and theory, and fusing these to develop novel solution systems for complex problems that no existing framework can handle. Although I have preferences, I am generally application-agnostic and like to explore many different fields and applications.The research field I love the most is complex systems; it is crucially important to understand such systems, but work is still in its infancy. I like it because it combines philosophy, mathematics, computer simulation, and applications across disciplines. My primary research in methodology using statistics, agent-based modeling, and network theory stem from my interest in complex systems research. I am especially interested in core issues in complexity theory, system diversity, social polarization, belief measure interoperability, evolutionary algorithms, and Bayesian methods for modeling behavior.However, one needs to grow and develop new skills and adapt to changing needs and opportunities. Although complex systems had an upswing a little while back, AI and deep learning have stolen much of its thunder. As a result, much of my current work would be classified as AI in geospatial, network, and personal "Big Data" as well as recommender engines, computer vision, multisensor fusion, etc. I mean, with my background and a good python library I can run through just about any existing analysis needed for a problem, but I am more interested in expanding and creating AI methods than merely applying off-the-shelf solutions. Specialties: Complex systems theory and methodology, agent based models, computer simulation, network theory, game theory, decision theory, statistics, inventing new and adapting existing metrics and measures for novel applications, interface design, mechanism design.