Iled process 20160330
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This document discusses science, technology, and innovation processes and timelines for commercializing university research. It presents a linear model of identifying and matching university technologies and intellectual property to potential licensees from 2009 to 2015. It also discusses using ecosystem modeling to identify resources and intermediaries to strengthen commercialization, and modeling innovation networks to inform targeted economic development strategies in regions like regenerative medicine in Howard County, Maryland. This includes identifying key university labs and researchers for expansion, licensing opportunities, and accelerating student and faculty startups.
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Iled process 20160330
- 1. Science, Technology & Innovation (STI) processes, data sources & timeline (a simple linear model focused on commercializing university research)
- 2. How do we identify & match technologies & IP to likely licensees? How do we identify & accelerate promising technologies & startups? How do we incentivize more commercialization without compromising our educational & land grant missions? Strengthen engagement with intermediaries & expand resources Identify & track intermediaries & resources Innovation Ecosystem Modeling Commercialization of Research & Ecosystem Modeling
- 3. Using Ecosystem Modeling for Research Portfolio Management NCSG Gerrit Knaap Scott Dempwolf HISP RE URSP NSF EDA EFC COEUS Sponsored Research in ARCH 2009 - 2015 Image of interactive graph that allows visual queries of all nodes and relationships Neo4j Graph database of COEUS records
- 4. Using Ecosystem Modeling for Research Portfolio Management EDA NSF ISTC St. Mary’s EDA Grant Grant Details
- 5. Howard County, Maryland Full Innovation Network & Innovation-Led Economic Development Strategies Stem cell products group • Commercialization, acceleration, entrepreneurial support • Business attraction • Assistance with market development & positioning Delivery devices groups, ECM group • Facilitate collaboration • For ECM - assist with niche market development around wound care • Business attraction Regenerative Medicine & Nutraceuticals groups • Develop ‘keystone companies’ • Promote local sourcing to help build cluster around keystones • Industry partnerships for workforce dev • FDI / Business expansion • Business attraction / supply chain development • Corporate sponsored research relations with universities University groups (JHU, UMCP, UMB) • Follow-up leads for licensing (green ties) • Identify key labs (dense subgroups) and evaluate for expansion / enhancement • Identify opportunities for faculty spin outs • Identify / accelerate potential student startups that can be seeded in this cluster • Build long-term corporate sponsored research relationships with keystone companies Targeted Economic Development Strategies At the Cluster Level Regenerative Medicine Cluster – Howard County, MD Innovation-Led Economic Development Drill-down to Company Profiles • Click to follow link
- 6. Implications for Universities: visualizing labs and research partnerships Identify key labs (dense subgroups) and evaluate for expansion / enhancement Identify opportunities for faculty spin outs Identify / accelerate potential student startups that can be seeded in emerging clusters Link to Lab and researcher pages (click to follow) University of Maryland, College Park Research labs, research partnerships, and individual researchers
- 7. Implications for Universities: Leads for licensing & collaboration Leads for licensing & research collaboration (centered on UMCP; other universities shown only if they also have weak ties to target node) Build long-term sponsored research relationships with keystone companies Shared patent classification
Editor's Notes
- This is a simplified linear model of what is very often a complex, iterative and sometimes discontinuous process. It is focused primarily on showing the “pathways to commercialization” for University IP within a front-end research context and back end commercialization context. It should be recognized that the primary intended outcomes of University activities including research are graduates and publications; while the primary intended outcome of innovation is new products in the marketplace.
- Our Innovation Ecosystem Modeling approach can help the University (and by extension USM and the State) in four specific areas. 1) connecting technologies and IP that is not being commercialized by faculty or students with likely candidates for licensing & tech transfer; Identify potential corporate research sponsors; 3) identify likely student and faculty startup candidates; and 4) identify & monitor intermediaries (accelerators, etc.) and resources for early stage startups and improve matches based on technologies and investment patterns. The University needs to figure out policies that facilitate this growth and balance it within the overall mission.
- Adding the investment dimension