Selected Research Themes and Workstreams
- Adaptive learning processes, activity-recognition and social computing applications of statistical inference and stochastic control mechanisms to agent-based cyberphysical networks.
- Applications of generative agent-based modeling, spatio-temporal mapping and social computing to forensic, geopolitical, socioeconomic, psychometric, sociometric, demographic, syndromic, and environmental surveillance, inference and analytics.
- Market-consistent enterprise risk and liability management applications of scalable, robust cyberphysical adaptive learning and pervasive, embedded computing systems.
- Institutional and industry configuration, market microstructure, and commercial process engineering applications of computational linguistics, law and economics.
- General methodological interests and experience include: applications of high-dimensional computational and graphical statistics to Bayesian experimental design, simulation and statistical inference; applied principal components and dimension reduction methods; applied information geometry, graphical statistical modeling and network analysis; applied functional data analysis, nonparametric hierarchical mixture and kernel models; latent variable analysis; applied generalized linear and logistic regression models and discrete choice methods, algorithmic natural and social computing frameworks; robust market-based predictive estimation, pricing and valuation applications of auctions and parimutuel exchange mechanisms.
- The socioeconomic and sociodemographic determinants of communicable diseases and non-communicable diseases (NCDs), and their impact on health capital in the labor market via the dependency ratio; structural changes in labor force growth relating to emerging health trends; time-series properties of socioeconomic and sociodemographic risk factors relating to obesity; the relationship of cross-country differentials in the dependency ratio and relative growth.
- Income elasticity of consumption spending on healthcare goods and services; co-evolution of healthcare spending and selected socioeconomic and sociodemographic indicators; regional and sociodemographic variations of income elasticity in healthcare spending.
- Effects of population aging on aggregate consumer demand; structural changes in the composition of inter-generational consumption spending patterns.
- Methodological interests: time series and longitudinal applications to event history and duration analysis; surveillance and monitoring of NCDs; discrete choice, latent variable and social network analysis of behavioral (sociometric and psychometric) influences on discretionary consumption decisions related to health.