We are a team of expert data scientists, social scientists, and machine learning and AI experts who have pioneered new frameworks for understanding and predicting human behavior and outcomes.
Through our advanced computation modeling and simulation, we’ve helped research groups in the government, nonprofit, and private sectors identify, develop, and evaluate solutions to society’s most complex problems.
We design and validate sophisticated computational models that transform complex research questions into scientifically rigorous frameworks for understanding social phenomena.
We apply leading-edge statistical methods, machine learning algorithms, and NLP techniques to extract meaningful patterns and predictive insights from large-scale, multi-dimensional datasets.
We conduct comprehensive simulation experiments to test policy interventions, forecast outcomes, and quantify potential impacts before real-world implementation.
We collaborate with government agencies, university research institutions, grant-funded research consortiums, private sector R&D teams, legal professionals, non-profit organizations, and social science associations who recognize that today’s complex challenges require sophisticated computational approaches.
Whether you’re a research team seeking to scale your methodological capabilities, a domain expert with compelling research questions who needs guidance on study design and modeling approaches, an organization with rich datasets requiring expert analysis, or a mission-driven group looking to transform theoretical frameworks into actionable computational tools—we help you achieve real-world impact through advanced multidisciplinary and computational methods.
Dental caries in deciduous teeth affects millions of children in underserved communities, creating lifelong oral health disparities that cost families billions annually. Working with Dr. Brenda Heaton (University of Utah), we are developing computational policy simulations to identify which single parental behavior change—for example, reduced sugar intake, improved bedtime routines, or enhanced cleaning practices—would yield maximum impact given limited public health resources. Our validated models enable evidence-based targeting of educational campaigns to prevent dental disasters before they begin.
Children in economically challenged communities face life-threatening risks simply walking home from school, yet no evidence-based solutions exist for this critical safety challenge. Partnering with Dr. Jonathan Jay (Boston University), we’re building comprehensive spatial simulations of Detroit school environments to test intervention strategies—from adult street monitors to enhanced transportation—before implementation. Our models integrate real behavioral data from children, families, and neighborhoods to identify the most effective approaches for protecting vulnerable youth.
Religious violence and refugee displacement represent some of our era’s most complex humanitarian crises, yet traditional approaches lack predictive capability for prevention strategies. Through the Modeling Religion Project, we developed sophisticated multi-agent AI systems that simulate human religious behaviors and test scholarly theories about extremism pathways. Our three-year computational study, featured in the documentary “Simulating Religious Violence,” provides policymakers with evidence-based frameworks for identifying radicalization patterns and designing targeted prevention interventions.
