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Office of Grant Development

Science of Science and Innovation Policy Doctoral Dissertation Research Improvement Grants (SciSIP-DDRI)

Amount Note:

The total direct costs for SciSIP DDRI awards may not exceed $20,000. Indirect costs are in addition to this maximum direct cost limitation and are subject to the awardee's current federally negotiated indirect cost rate.

The Science of Science and Innovation Policy Program (SciSIP) awards Doctoral Dissertation Research Improvement Grants (DDRIs) in all areas of research supported by the Program. SciSIP supports research designed to advance the scientific basis of science and innovation policy. Research funded by the program thus develops, improves and expands models, analytical tools, data and metrics that can be applied in the science policy decision making process. For example, research proposals may develop behavioral and analytical conceptualizations, frameworks or models that have applications across a broad array of SciSIP challenges, including the relationship between broader participation and innovation or creativity. Proposals may also develop methodologies to analyze science and technology data, and to convey the information to a variety of audiences. Researchers are also encouraged to create or improve science and engineering data, metrics and indicators reflecting current discovery, particularly proposals that demonstrate the viability of collecting and analyzing data on knowledge generation and innovation in organizations.

Among the many research topics supported are:

  • examinations of the ways in which the contexts, structures and processes of science and engineering research are affected by policy decision,
  • the evaluation of the tangible and intangible returns from investments in science and from investments in research and development,
  • the study of structures and processes that facilitate the development of usable knowledge, theories of creative processes and their transformation into social and economic outcomes,
  • the collection, analysis and visualization of new data describing the scientific and engineering enterprise.

Last Updated On: 2018-02-21

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