This $300,000 federal Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports a research project that seeks to design, develop, and deploy artificial intelligence (AI) responsibly by fostering community-researcher synergy. The project, led by the University of Michigan, will use human-computer interaction methods to change how communities are involved in developing AI, with a focus on public health, education,...
This $462,500 Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070), supports the development of advanced causal inference methods for data-driven decision making. Key products and services to be delivered include: Automated and robust causal AI systems that integrate machine learning and causal inference techniques to enable more decision-makers to leverage causal analysis. The project will...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $274,926 to Actualization AI LLC provides funding to develop an automated method for converting policies, rules, and laws into a format that can be understood and enforced by both humans and machines. The project aims to use natural language processing techniques to convert policies and examples of policy interpretation into "code-augmented policies" (CAPs) that can be...
This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $175,000 to the Data & Society Research Institute, Inc. to assess the environmental and social impacts of artificial intelligence (AI) technologies, particularly the effects of data centers and other AI infrastructure. The project aims to engage impacted communities in the process of defining and mitigating these impacts, ensuring that...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) grant award of $303,089 to Bioimaginix LLC, a small business, aims to develop an AI-powered diagnostic tool for early detection of Alzheimer's disease (AD) and mild cognitive impairment (MCI) using magnetic resonance imaging (MRI) scans. The project utilizes a specialized AI/machine learning algorithm to analyze 3D structural MRI brain scans and detect changes associated with brain atrophy...
This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) is focused on developing an artificial intelligence (AI) solution for accurate medical coding to improve healthcare billing. The $550,000 award, spanning 2 years from September 2024 to August 2026, aims to create a highly accurate and trustworthy medical coding recommendation system. The project will integrate heterogeneous electronic medical record...
This National Science Foundation (NSF) Federal Grant Award under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $299,408 to Case Western Reserve University (UEI: HJMKEF7EJW69) to develop a groundbreaking forecasting tool that can help policymakers predict the economic and societal impacts of NSF investments in regional technology and science-based innovation ecosystems. The research aims to advance the state-of-the-art in two ways: 1) improving the...
This Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) seeks to create a pathway for underserved community college computer science students to gain practical skills and experience in artificial intelligence (AI) and machine learning (ML). The $999,900 award will fund three annual cohorts of 50 students each to complete 1-2 micro-internships on industry-relevant AI/ML open source projects, meet...
This $1,168,047 Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a deeper understanding of the complex problems and needs that drive technology innovation. The project involves: Collecting comprehensive datasets on technical problems, solutions, and organizations across three selected domains; 2) Applying AI/machine learning techniques to analyze this data and identify predictive...
This Cooperative Agreement award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $874,195 in funding to Vsorts, Inc. (doing business as Vsorts AI) for the development of an AI-enabled software-as-a-service (SaaS) platform to optimize the collection, analysis, and evaluation of qualitative data. The primary objectives are to enhance the accuracy, efficiency, and transparency of qualitative data analytics...