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DICE:
Discovering Innovation
Communities and Ecosystems
Taking the "eco" in
science and technology innovation ecosystems seriously,
Professor
Brian Butler and I are advancing an ecology theory
of innovation ecosystems, developing a set of
theoretically-informed metrics for characterizing
developing innovation ecosystems, and creating a
computational-enabled dataset creation and management
platform.
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STICK: Science and
Technology Innovation Concept Knowledge-base
This project is sponsored
by the National Science Foundation, under a
Science of Science and Innovation Policy grant.
Professors
Yan Qu,
Ben Shneiderman, and I led an interdisciplinary team
to achieve two primary goals: (1) to build a collection
of studies that examine the emergence and evolutions of
science and technology innovations, and (2) to develop a
set of visual analytic tools for monitoring and
understanding such emergence and evolution. Read more about the project
here. |
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PopIT: Scalable Computational
Analysis of the Diffusion of Technological Concepts
This project is sponsored
by the National Science Foundation, under a
Human and Social Dynamics grant. Professors
Ken Fleischmann,
Doug Oard,
Amy Weinberg, and I led an interdisciplinary
team to apply natural language processing and
information retrieval techniques to research on the
diffusion of technological innovation concepts and
ideas. Read more about the project
here. |
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