The Social and Decision Analytics Laboratory is advancing statistical and quantitative social science methods to deliver a more comprehensive understanding of social problems. Our research aims to transform all data into actionable knowledge, integrating novel sources of information, such as mobile technology, embedded sensors, blogs, social media, and location-based tools.
The Social Decision and Analytics Laboratory was founded in September of 2013, headquartered in the Virginia Tech National Capital Region. Led by Director Sallie Keller and Deputy Director Stephanie Shipp, SDAL has developed its world-class statistical and data science capabilities in support of the Biocomplexity Institute’s overarching mission to predict, explain, and visualize the behavior of massively interacting systems.
Since its founding, SDAL has established long-term partnerships with a variety of organizations including Arlington County, Procter & Gamble, the Robert Wood Johnson Foundation, the United States Census Bureau, and the Department of Housing and Urban Development.
The Biocomplexity Institute works with local, regional, national and international media to provide journalists with accurate information about current developments in our scientific field. To schedule an interview with one of our experts or request assistance in developing story ideas based on their research, please contact our communication manager, Tiffany Trent.
Modeling of environmental and physical systems, inverse problems in hydrology and imaging, statistical modeling in ecology, environmental science, statistical computing
Director and Professor
Integration of situational structure, procedural knowledge, and massive amounts of data through computational synthesis; uncertainty quantification, computational and graphical statistics and related software and modeling techniques, and data access and confidentiality
Research Assistant Professor
Game theory, social and economic networks, social contagion, collective action, industrial organization, analytics
Senior Research Scientist
Applied statistics, research methods and design, public health, environmental testing and analysis
Research Associate Professor
Health behaviors, psychological theory, psychosocial theory, sexual and reproductive health behavior, drug use behavior, computational modeling
Research design, methods of data collection, quantitative and qualitative data analysis, policy & implementation, information policy, data management and integration, web-enabled public services, network analysis
Deputy Director and Research Professor
Statistical analysis for public policy, data infrastructure, survey management, longitudinal analysis, confidentiality, science of science policy, smart and resilient cities, big data