Assessing and Predicting Technology Outcomes

The summary for the Assessing and Predicting Technology Outcomes grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the National Science Foundation, which is the U.S. government agency offering this grant.
Assessing and Predicting Technology Outcomes: The National Science Foundation (NSF), through the Directorate for Technology, Innovation and Partnerships (TIP), is launching a new program on Assessing and Predicting Technology Outcomes (APTO) to assess how investments in science and technology research and development will contribute to specific outcomes for the Nation. The APTO program will support a cohort of projects that will work together to complement each other's research and development (R&D) efforts on technology outcome models to accurately describe three types of technology outcomes: technology capabilities, technology production, and technology use. These models should be able to predict future as well as past states of technology outcomes. Of particular interest are prediction models that are generalizable across multiple technology areas. The outcome of this work will help assess and evaluate the effectiveness of U.S. R&D investments and generate information that decision makers could use to strategize and optimize investments for advancing long-term U.S. competitiveness into the future. The APTO program serves the TIP directorate's need for technology assessment to understand where the U.S. stands—as a whole and in individual regions—vis-à-vis competitiveness in the key technology focus areas named in Sec. 10387 of the CHIPS and Science Act. TIP is interested in answers to the question of which science and technology investments would offer the greatest impact in the key technology focus areas and would be essential to the long-term national security and economic prosperity of the United States. As a key aspect of TIP's technology assessment activity, the APTO program will bring together multidisciplinary teams to help develop the data, intellectual foundations, and analytics necessary to inform decision making. The research community has accumulated important insights about the "rate and direction of inventive activity"[1] as an aggregate economic good, and about what decision makers can do to increase the overall production of that good. Meanwhile, industry has immense experience with creating specific technologies and planning how to reach intended technology outcomes over periods of several years. The APTO program aims to expand on this knowledge base spanning academia and industry to better understand and predict the long-term evolution of specific technologies over a period of a few years to decades, and specifically model how intentional, purposeful investments can change that evolution. APTO will fund research and development of causal models that accurately describe past and future technology outcomes, specifically the capabilities, production, and use of specific technologies. These models should be able to predict likely future outcomes for specific technologies and what intentional investments could reliably change or accelerate those outcomes by correctly capturing the various causal relationships. Building and testing these models will require significant amounts of specialized data gathered from a variety of sources, e.g., historical sources, experimentation, expert elicitation, and others. Data extraction and processing tools may need to be developed as part of that effort. APTO will support a cohort of projects that will work in collaboration on research and development of Technology Outcome Models and in development/preparation of Data Sets and related Tools. [1] "The Rate and Direction of Inventive Activity", edited by R. R. Nelson, 1962. Princeton, NJ: Princeton University Press
Federal Grant Title: Assessing and Predicting Technology Outcomes
Federal Agency Name: National Science Foundation (NSF)
Grant Categories: Science and Technology
Type of Opportunity: Discretionary
Funding Opportunity Number: 23-600
Type of Funding: Grant
CFDA Numbers: 47.084
CFDA Descriptions: Information not provided
Current Application Deadline: October 30th, 2023
Original Application Deadline: October 30th, 2023
Posted Date: June 21st, 2023
Creation Date: June 21st, 2023
Archive Date: November 29th, 2023
Total Program Funding: $30,000,000
Maximum Federal Grant Award: $20,000,000
Minimum Federal Grant Award: $500,000
Expected Number of Awards: 20
Cost Sharing or Matching: No
Last Updated: October 3rd, 2023
Applicants Eligible for this Grant
Others (see text field entitled "Additional Information on Eligibility" for clarification.)
Additional Information on Eligibility
*Who May Submit Proposals: Proposals may only be submitted by the following: -For-profit organizations: U.S.-based commercial organizations, including small businesses, with strong capabilities in scientific or engineering research or education and a passion for innovation. -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.
Link to Full Grant Announcement
NSF Publication 23-600
Grant Announcement Contact
NSF support
[email protected]
If you have any problems linking to this funding announcement, please contact the email address above.
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