InnovationInsights: A Visual Analytics Approach for Understanding the Dual Frontiers of Science and Technology
Yifang Wang, Yifan Qian, Xiaoyu Qi, Nan Cao, Dashun Wang

TL;DR
InnovationInsights is a visual analytics system that helps researchers and policymakers explore complex links between scientific research and technological inventions using interactive visualizations and statistical measures.
Contribution
The paper introduces InnovationInsights, a novel visual analytics approach combining statistical association measures and visualization techniques to analyze science-technology interactions at scale.
Findings
Effective identification of key scientific-inventive linkages
Visualization of citation relationships via the Interplay Graph
System validated through expert case studies and institutional testing
Abstract
Science has long been viewed as a key driver of economic growth and rising standards of living. Knowledge about how scientific advances support marketplace inventions is therefore essential for understanding the role of science in propelling real-world applications and technological progress. The increasing availability of large-scale datasets tracing scientific publications and patented inventions and the complex interactions among them offers us new opportunities to explore the evolving dual frontiers of science and technology at an unprecedented level of scale and detail. However, we lack suitable visual analytics approaches to analyze such complex interactions effectively. Here we introduce InnovationInsights, an interactive visual analysis system for researchers, research institutions, and policymakers to explore the complex linkages between science and technology, and to identify…
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Taxonomy
TopicsData Visualization and Analytics · Cell Image Analysis Techniques · Species Distribution and Climate Change
