Information Visualization of NSWC Crane Innovation Ecosystem
Abstract
NSWC CRANE has a demonstrated need to allocate resources, both monetary and human, to foster innovations in science and technology. In recent decades, science policy makers and other decision makers have embraced data mining and metrics to gain insights into the structure and evolution of science and to devise metrics and indicators (Hicks et al., 2015), but has not invested significant efforts into computational models and visualizations that can predict future developments in science, technology, and innovation (STI). Advances in computational power combined with the unprecedented volume and variety of data on science and technology developments (e.g., publications, patents, funding, job market data) create ideal conditions for the advancement of data analysis and visualization approaches that can be empirically validated and used to simulate and understand the structure and dynamics of STI and to augment human decision making. The proposed work will consist of three studies that focus on analysis and visualization for the purpose of aiding human decision making with regards to investments in science and technology. The work will be performed in in two distinct phases.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 15, 2018
- Source ID
- N001641811005
Entities
People
- Katy Börner
Organizations
- Indiana University
- Naval Surface Warfare Center
- United States Navy