Project Grant U411C160089

This $285,504 EAGER award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports a two-year research project to measure the impact of university innovation facilities on real estate markets and R&D space supply and demand across the top 100 U.S. metropolitan areas. The project aims to collect and analyze data on four key outcome variables: R&D space demand, R&D space supply, business establishment clustering, and...

This $230,292 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports research to enhance understanding of how innovative research and development (R&D) effectively translate into commercial products. The study will focus on place-based innovation (PBI) ecosystems, regions where stakeholders collaborate in close geographic proximity, to uncover critical factors that facilitate or hinder successful R&D...

This Project Grant award of $299,898 from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program is intended to catalyze deep tech innovation and entrepreneurship through international partnerships. The project aims to enhance the impact of NSF's Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs by facilitating the formation and success of small business concerns working to solve critical...

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) Project Grant award of $295,591 to the University of Kentucky Research Foundation will develop a deep graph neural network-based foundation model to quantify and predict place-based innovation (PBI) factors. The key products and services to be delivered include: Modeling the time and capital requirements for PBI product development and commercialization. Assessing the impacts of...

This $474,942 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will fund research at Duke University to evaluate the impacts of declining public R&D investment and the pivot away from defense innovation in the U.S. The research aims to (i) examine the effects of federally-funded R&D on the development of complex, science-based "deep tech" innovations, and (ii) assess the impacts of major cuts to...

This $299,386 National Science Foundation (NSF) EAGER: PBI - Innovation Impact Framework (IIF) Project Grant aims to enhance the understanding of how regional technology transfer initiatives contribute to societal and economic benefits. The project, awarded to Hyperion Technologies LLC, will develop new methods to measure the local return on investment of technology transfer activities, with the goal of informing policymakers and stakeholders on best practices for fostering innovation and...

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) award of $299,998 supports a project titled "EAGER: PBI: ASSESSING SOCIETAL AND ECONOMIC IMPACTS OF PLACE-BASED INNOVATION WITH SMALL AREA INNOVATION RATE ESTIMATION" at The Pennsylvania State University over the period of September 1, 2024 to August 31, 2026. The project aims to investigate the feasibility of using data from the larger Economic Census (EC) dataset to generate more accurate...

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $196,325 to Arizona State University (ASU) develops a framework to measure the dynamics, intermediate outcomes, and broader socio-economic and environmental impacts of regional innovation programs. The project engages interdisciplinary perspectives across public policy, economics, geography, and management to build a conceptual foundation for assessing large-scale government...

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Phase I Small Business Innovation Research (SBIR) grant awarded $275,000 to ADA TECH LLC to develop a novel artificial intelligence-powered generative design solution. The project aims to integrate consumer data, Internet of Things (IoT) telemetry, and design for excellence (DFX) engineering specifications into 3D generative computer-aided-design models. The primary objectives are to enable the...

This $274,936 Project Grant awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development and validation of innovative technology capable of learning to infer from unlabeled time series financial data. The project aims to address technical hurdles in machine reasoning of qualitative financial information, reliance on human annotation, difficulties with transfer learning, and scarcity of labeled financial...