Application Areas

Medical & Life Sciences

  • Applying data mining techniques in genome study data to discover biomarkers
  • Curating and integrating patients’ records to improve the picture physicians have about their patients
  • Combining smart sensor data and passive monitoring to help doctors monitor patients’ health and detect anomalies

Civilian and Government Agencies 

  • Analyzing and mining litigation documents for advanced pattern matching and automated categorization of legal documents
  • Connecting vehicle information with data about the environment (e.g., weather, traffic) to provide drivers with real-time alerts
  • Mining demographics to improve services in counties

Intelligence and Organized Crime

  • Analyzing, mining and visualizing data to predict and prevent crime
  • Simulating data scenarios to test, evaluate, predict and prevent human trafficking

Social Net Analysis

  • Collecting and analyzing digital data to improve our understanding of individuals, organizations, and societies
  • Collecting and analyzing digital data to predict emerging situations, such as a disease outbreak

Urban Science, Smart Cities and Transportation

  • Improving traffic in Metropolitan areas
  • Storing, combining and analyzing city data to inform individual users to promote sustainability, safety, and health
  • Creating simulations to test and evaluate social phenomena

Human Services and Evidence-based Policy

  • Modeling, analyzing and predicting networks of people and activities invited in human trafficking
  • Making decisions based on data-informed actions
  • Studying policy to recommend changes, prevent and respond