Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods (NCSES S&T)
National Science Foundation
Award
USD 0β15K
Closing date
Closed
Location
Global
For
Individuals, Team, Orgs
About this opportunity
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 technology (S&T) enterprise in the United States and other nations that is relevant and useful to practitioners, researchers, policymakers and the public. NCSES welcomes efforts by the research community to use NCSES or other data to conduct research on the S&T enterprise, develop improved survey methodologies that could benefit NCSES surveys, explore alternate data sources that could supplement NCSES data, create and improve indicators of S&T activities and resources, strengthen methodologies to analyze S&T statistical data, and explore innovative ways to communicate S&T statistics. The program invites proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, conferences, experimental research, survey research and data collection, and dissemination projects.
12 - 601 mo
10 awards
6 months
Who can apply
Applicant Types
individual, team, organization
Organization Types
academic, nonprofit, tribal
Residency
πΊπΈ United States
Project Locations
πΊπΈ United States
Region
United States
How to apply
Institutional approval
Stages
- 1 single_stage
Required documents
research_proposal Β· budget Β· cv
Review process
Merit review by NSF panels and ad hoc reviewers evaluating intellectual merit and broader impacts, with relevance to NCSES program goals and prospect of improving the development, quality, or understanding of the S&T enterprise.
Restrictions
- reporting_requirements
Post-award obligations
- final_report
- present_findings
- acknowledge_funder
- share_data