Data for discovery

Program vision

Program leader: Associate Professor James McGree

Program co-leader: Professor Moe Thandar Wynn

The vision of this Core Research Program is to advance the medical, physical, technological and social sciences through the development and application of new statistical, analytical and computational methods in data acquisition, experimental design, data transformation and data analytics to promote rigorous scientific discovery and generate evidence-based insights.  This includes the development and application of:

  • Methods for conducting rigorous experiments in modern science
  • Methods for timely and cost-effective data acquisition
  • Data transformation methods to assess and remedy quality problems (including data provenance/traceability)
  • Data (and process) analytics (e.g., fair, accurate, transparent, privacy-preserving).