The primary research scope of the Leir Research Institute can be categorized into three thrusts:

Corporate Sustainability and Resiliency —This area includes modeling and simulation of environmental carrying capacity dynamics related to greenhouse gas emissions and climate change impacts with corporate operational modeling; advanced data-driven analytic, systems analysis, simulation and autonomous intelligence techniques to analyze and predict disruptive events, vulnerabilities, and consequences; implementation and management of mitigation strategies across the enterprise to reduce corporate risk and exposure, increasing agility, velocity, and resiliency across supply chain operations and enterprise risk management; urban ecology studies with alternative renewable energy scenarios; quantitative finance and financial disruption propagation across domains and ecosystems including environmental economics of climate change; ethically-responsible organizational behavior and management principles; and, corporate sustainability and resiliency metrics to quantify and establish absolute metrics for operations management.

Connected Society and Wellbeing — This research is centered around people. It includes customer-focused business continuity with digital marketing and customer resource management.  It includes studies on healthcare and wellbeing from a broad spectrum, such as predictive modeling, precision medicine, clinic decision support, patient engagements, IoT and telemedicine, healthcare delivery, analysis of social, economic and environmental impact to healthcare, modeling of socio-behavioral and cognitive processes related to healthcare.  This research also includes smart city, public safety and security, and the innovation acceleration research relates to strategic management, novel marketing and investor strategies, and business incubation of IoT-based products and services.

Business Data Science —The primary focus of this thrust area involves application research related to advanced machine learning constructs and autonomous intelligence, data analytics, and business data visualization techniques to improve business performance and resiliency; enhance enterprise data visibility using cloud-based platforms and securely accessing heterogeneous data sources; real-time data analytics for IoT cyber-physical systems and network security analysis; and, business intelligence and knowledge management systems to share information, visualize solutions, and manage activities that improve agility and velocity across the global business network.