This $317,381 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop innovative methods for quantifying uncertainty in complex systems using machine learning (ML). The 5-year project aims to create a new framework integrating conformal prediction principles into ML model training to enable more reliable and trustworthy predictions, particularly in high-stakes applications like medical...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award, with the CFDA number 47.070, provides $350,014.00 in funding to the University of Illinois to develop responsible language models (LMs) with rigorous uncertainty guarantees. The project aims to expand the fundamental understanding of responsible LMs, enable effective LM-augmented tools, and advance conformal prediction research to improve the reliability and performance of...
This $948,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support the development of new methods for data-efficient decision-focused learning to address uncertainty in various real-world decision-making problems. The research aims to create a general framework for pre-training key components and rapidly fine-tuning them for specific decision-making tasks, such as in public health,...
This federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $375,000.00 to Iowa State University of Science and Technology to develop statistical and machine learning tools for data integration and data fusion. The project aims to enhance the analysis of complex survey data with big data sources, as well as improve scientific conclusions drawn from multiple datasets. Key activities include research on mass...
The National Science Foundation (NSF) has awarded a $533,995 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Iowa State University of Science and Technology (Iowa State University). The 4-year grant, spanning from October 1, 2023 to September 30, 2027, aims to improve the performance, robustness, generalizability, and efficiency of deep learning models for critical software assurance tasks such as bug detection, debugging, test input...
This $271,343 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research into developing robust machine learning and inference methods that can withstand data corruption and distribution shifts. The project aims to explore new techniques for structured learning, supervised learning, and reinforcement learning that are resilient to these challenges, with potential applications in healthcare,...
This $599,411 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a "Trustworthy Toolbox for Double-Correct Predictive Modeling in Sciences." The project aims to create advanced artificial intelligence (AI) and machine learning (ML) models that can make accurate predictions while also providing transparent, scientifically-grounded rationales for their outputs. This...
Iowa State University received a $175,000 project grant award from the National Science Foundation Division of Information and Intelligent Systems. The award was made under the Computer and Information Science and Engineering program (CFDA 47.070) to support research titled "GRAPH NEURAL NETWORKS: A FEATURE AND STRUCTURE LEARNING APPROACH" from July 1, 2021 to June 30, 2023. The project aims to advance the development of graph neural networks through investigator-initiated research...
Iowa State University of Science and Technology (ISU) was awarded a $228,000 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year grant will support ISU's collaborative research project "Weak Derandomizations in Time and Space Complexity" from October 1, 2021 through September 30, 2024. The NSF Computer and Information Science and...
This National Science Foundation (NSF) Project Grant award to Purdue University, under the Computer and Information Science and Engineering program (CFDA 47.070), focuses on developing novel technologies to enable robust, fair, and explainable data-driven decision-making systems. The $466,411 award, effective July 1, 2023 through June 30, 2028, will fund research to: 1) detect and mitigate biases in machine learning model outcomes, 2) assess the validity of data for learning fair and trustworthy...