Research Areas:
- Health@Luddy - Crosscutting
- Intelligent Computer Engineering
- Data Science
- Intelligent Systems
Katy's research focuses on the development of data analysis and visualization techniques for information access, understanding, and management. She is particularly interested in the study of the structure and evolution of scientific disciplines; the analysis and visualization of online activity; and the development of cyberinfrastructures for large scale scientific collaboration and computation.
Keywords: Network Science, Information Visualization, Scientometrics, Science Studies, Cyberinfrastructure
Research Interests:
- Visualizing Diffusion Patterns
- Process Models of Scientific Structure and Evolution
- Mining and Visualizing a Stream of Live Data
- TerraVis
- Data
- Building Blocks for Virtual Worlds: Design Principles for a Starter Kit for Educational Virtual Worlds
- Visualizing Knowledge Domains
- Project ENABLE: Learning through Associations in a Grid based Bioinformatics Digital Library
- Mapping Aging Research, NIH Demo Fund
- Information Visualization Software Repository
- Twin-Worlds - Memory Palaces & Mirror Gardens
- iScape: Information Landscape
- iUniverse: A Collaborative Information Universe for IU
- LVis: Visual Interfaces to Digital Libraries
