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Capturing Change in Science, Technology, and Innovation Improving Indicators to Inform Policy (2014) / Chapter Skim
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Appendix B: Users of Science, Technology, and Innovation (STI) Data and Indicators and Their Questions and Requests for STI Indicators
Pages 123-128

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From page 123...
... • Bhavya Lal (Institute for Defense Analysis– • Patrick Clemins (American Association for the Science, Technology Policy Institute) Advancement of Science)
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From page 124...
... Is the physical science, nanotechnology, environmental United States falling behind with respect to innova- technology, social science, etc.? Does government tion, and what are the effects on socioeconomic investment crowd out or energize private investment outcomes?
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From page 125...
... What are the institutional • Trends in size of grants to universities differences that affect innovation activities among • Number of R&D centers in the United States and nations, and how are they changing? other countries • Subnational STI activities and outcomes: How does innovation activity in a given firm in a given Innovation place contribute to that firm's productivity, employ ment, and growth, and perhaps also to these char- • Direct measures of innovation (Community Innova acteristics in the surrounding area?
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From page 126...
... trademark applications and grants by country, technology STEM Workforce/Talent • Patent citations • License and patent revenues from abroad as a share • Postdoctoral levels and trends in various STEM fields of GDP by country of birth and country of highest degree • Triadic Patent Families by country • Number of postdoctorates in health, specific fields • Percentage of patent applications per billion GDP • STEM employment • Percentage of patent applications related to societal • Labor mobility and workforce migration challenges (e.g., climate change mitigation, health) • Demographic composition of people who would per billion GDP enter specific occupations (e.g., clean energy, ICT, • Intangible assets biotechnology, health services)
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From page 127...
... • University-industry research collaborations - Linkages to sources of capital • Number and value of international collaborations - Linkages to sources of knowledge or ingenuity • Business structure dynamics used in occupation • Technology transfer between academic institutions and businesses, including mechanisms • Technology transfer (including programs such as Subnational Indicators Manufacturing Extension Partnership Technology • State, county, and metropolitan tables of data from Transfer/Transition Pilot Initiative) the Business Research and Development and Innova • Technology transfer from national laboratories tion Survey (BRDIS)
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From page 128...
... • Mappings of entrepreneurial density • Data on dealmakers and entrepreneurs, including • Firm births, mergers and acquisitions, deaths ("busi- number of connections ness dynamics" as characterized by Haltiwanger at • Data on emerging industries, based on universities, the panel's July 2011 workshop, including geogra- government laboratories, firms, value chains, key phy, industry, business size, business age) occupations, and individuals • State and federal grants and loans (from Science and Technology for America's Reinvestment: Measuring the Effect of Research on Innovation, Competitive ness and Science [STAR METRICS]
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Key Terms

  • patent applications
  • venture capital
  • sti indicators
  • workforce migration
  • innovation activities

  • stem workforce
  • stem jobs
  • public value
  • policy institute
  • value chains

  • sti activities
  • emerging industries
  • states falling
  • specific sectors
  • capital investments

  • public offerings
  • value added
  • significantly improved
  • physical science
  • entrepreneurial activities

  • business age
  • expenditures related
  • entrepreneurial density
  • initial public
  • private investment

  • billion gdp
  • hold stem
  • stem fields
  • stem degree
  • stem employment


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