Research on the Science and Technology Enterprise: Statistics and Surveys - R&D, U.S. S&T Competitiveness, STEM Education, S&T Workforce
Solicitation Title: Research on the Science and Technology Enterprise: Statistics and Surveys - R&D, U.S. S&T Competitiveness, STEM Education, S&T Workforce
Funding Amount: $750,000
Sponsor Deadline: Wednesday, January 15, 2020
Solicitation Link: https://www.nsf.gov/pubs/2015/nsf15521/nsf15521.htm#awd_info
Solicitation Number: NSF 15-521
Overview
<p>The National Center for Science and Engineering Statistics (NCSES) of the National Science Foundation (NSF) is one of the thirteen principal federal statistical agencies within the United States. It is responsible for the collection, acquisition, analysis, reporting and dissemination of objective, statistical data related to the science and engineering enterprise in the United States and other nations that is relevant and useful to practitioners, researchers, policymakers and the public. NCSES uses this information to prepare a number of statistical data reports as well as analytical reports including the National Science Board's biennial report, Science and Engineering (S&E) Indicators, and Women, Minorities and Persons with Disabilities in Science and Engineering.</p> <p>The Center would like to enhance its efforts to support analytic and methodological research in support of its surveys, and to engage in the education and training of researchers in the use of large-scale nationally representative datasets. NCSES welcomes efforts by the research community to use NCSES data for research on the science and technology enterprise, to develop improved survey methodologies for NCSES surveys, to create and improve indicators of S&T activities and resources, and strengthen methodologies to analyze and disseminate S&T statistical data. To that end, NCSES invites proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, workshops, experimental research, survey research and data collection and dissemination projects under its program for Research on the Science and Technology Enterprise: Statistics and Surveys.</p>
Other Information:<div>Potential topics for consideration include but are not limited to:</div> <ol> <li>Improving analytical techniques to produce better indicators of issues related to: (1) the education and retention of scientists and engineers including minorities, women or persons with disabilities, (2) the demand, supply or characteristics of science and engineering personnel, (3) outcomes and impacts of research and development (R&D) expenditures in various sectors, countries, and fields including emerging fields, (4) estimates of current and near-term future S&T resources; and (5) innovation systems and measures, and competitiveness.</li> <li>Developing data, analyses, and indicators of the globalization of science, engineering and technology and analyses leading to a better understanding of the emerging global economy. This could include, for example, international comparisons of S&T capabilities and activities, including inputs, outputs, and impacts and interactions; indicators of international education and mobility of scientists and engineers; as well as foreign investment in S&T activities.</li> <li>Developing new and improved indicators and advances in the analysis and understanding of existing indicators of the inputs, outputs, linkages and social or economic impacts of S&T activities.</li> <li>Developing new and improved techniques to develop S&T indicators through the use of administrative records, social media, or novel data extraction methods.</li> <li>Improving the methodologies to collect, analyze, and disseminate statistical data through surveys, censuses, use of administrative records, and social media. Such studies could include research on survey design or quality of surveys conducted by NCSES. Studies of survey design could include the target population, sample frame, sample design, development of new data collection techniques, imputation, or estimation techniques. Survey quality could include studies on sampling error, coverage, non-response, measurement error, or data consistency with earlier or related surveys. Interest also relates to dissemination and analysis of the information in a timely and user-friendly format.</li> <li>Conducting studies that examine improved methods of presenting complex statistical analysis in an electronic, accessible, indicator format. This could include studies that examine various reports in "indicator" formats and develop new approaches for potential use in Science and Engineering Indicators reports, or historical reviews of approaches to presenting indicators that build on previous styles to develop suggestions for new generations of policy indicators.</li> </ol>Last Updated:
RODA ID: 559