INSITE: Center for Business Intelligence and Analytics is a research center that addresses the ever-growing volume, velocity, and variety of big data being generated by social media and Web 2.0.
This innovative center focuses on predictive analytics through the use of data generated from social media, internal transactional, sensor, and other emerging big data to provide analytics across multiple social media platforms. It provides visualization and real-time network analysis of interaction patterns gleaned from big data.
Current Research Projects
|Social Media Monitoring and Surveillance for Vector Borne Diseases
This is a research project for developing a strategy and infrastructure to use social media to monitor topics for the purpose of public health surveillance in Pima County, Arizona.
Using implicit disease co-occurrence networks to explore the network to identify interesting patterns and incorporate the structural properties of the network into predictive models to improve their prediction performance.
Analyses of the public transportation systems in Fortaleza, Brazil to understand their usage in addressing the challenges of overcrowding, delays, and public safety.
|BRIDGE: Biomedical Research Innovation through Dynamic Graph Engineering
Creating the capacity to transform how biomedical data are stored, analyzed and visualized towards an integrated biomedical knowledge environment
|Large-Scale Network Analytics for Online Social Brand Advertising
An audience selection framework for on-line brand advertising based on a large amount of user historical activities on social media platforms.
|Large-Scale Network Analysis for News Propagation on Social Media
Sharing news articles using 140 characters: a diffusion analysis on Twitter.
|Predictive Modeling in Health Care
Exploring the use of Twitter data to predict health outcomes, including utilization and disease detection.
|Temporal and Spatial Analysis in Education for Building a Smarter Campus
Combining university ID card data with student records, and potentially social media, to develop broader patterns of student behavior and engagement, service, and facility utilization.
|Wellbuilt for Wellbeing
Using big data to investigate the effects of the physical work environment on physiological health outcomes