Project Grant 2601953
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Pennsylvania one million dollars on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop uncertainty quantification methods for artificial intelligence decision-making systems. The project will create model-free uncertainty quantification approaches centered on conformal prediction and calibration methods that provide valid...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Pennsylvania $354,579 on June 1, 2026, under the Computer and Information Science and Engineering program to develop a science of AI reliability that identifies failure modes in AI systems and designs methods to make them more dependable in high-stakes applications such as medical diagnosis. The research characterizes why transformer-based AI systems learn brittle shortcuts rather than...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Pennsylvania $376,493 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate language as an interface to multimodal artificial intelligence architectures rather than as the foundation of intelligence itself. The project, running through September 30, 2028, tests an early-stage architectural hypothesis in which language is...
- The National Science Foundation Division of Mathematical Sciences awarded the University of Pennsylvania $200,000 on July 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop distribution-free statistical inference methods for artificial intelligence systems used in adaptive decision and discovery pipelines. The project creates mathematical tools to assess the reliability of AI predictions after they are used to make decisions in settings such as drug...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Pennsylvania State University $369,905 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop educational materials, practical tools, and a website enabling high school and undergraduate learners to investigate how large language models handle copyrighted and private information, collect evidence of vulnerabilities, and communicate their...
- The National Science Foundation Division of Computing and Communication Foundations awarded Arizona State University $300,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop uncertainty quantification methods that enable large language models to recognize and correct their own errors in high-stakes reasoning tasks. The project, running through August 31, 2029, addresses the problem of language models confidently producing...
- The National Science Foundation Division of Computing and Communication Foundations awarded North Carolina State University $300,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop methods for generalizable editing of foundation models, including large language models. The project investigates knowledge augmentation frameworks that enable foundation models to update stored facts more reliably and apply edits across related...
- The National Science Foundation Division of Computing and Communication Foundations awarded San Diego State University Foundation $299,999 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop theoretical foundations and reasoning capabilities for large language model-based spatial-temporal forecasting in urban dynamics prediction. The project addresses fundamental gaps in current LLM-driven urban forecasting systems by establishing...
- The National Science Foundation Division of Computer and Network Systems awarded The Pennsylvania State University $350,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop jurisdiction-aware copyright protections for large language models. The project addresses copyright vulnerabilities in LLMs by creating a technical framework that connects model training, real-time inference, and post-deployment refinement. The work includes...
- The National Science Foundation Division of Computing and Communication Foundations awarded Yale University $355,590 on May 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop foundations for more reliable large language models in scientific research. The project addresses limitations in current AI systems when applied to scientific tasks, including tendency to miss key publications, rely on weak evidence, present claims with unwarranted...
The National Science Foundation Division of Computing and Communication Foundations awarded The Trustees of The University of Pennsylvania $300,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop statistical foundations for large language models that advance reliability, transparency, and accountability in AI systems. The project addresses limitations in large language model outputs—including overconfident errors, hidden biases in training data, and difficulty verifying machine-generated content—by developing principled statistical methods. The research team will create model-agnostic methods with three integrated objectives: uncertainty quantification with finite-sample coverage guarantees using paraphrase consistency and conformal prediction approaches; distribution-aware alignment methods that reduce bias and improve calibration beyond standard reinforcement learning from human feedback; and techniques to identify machine-generated content. Deliverables include open software, reproducible evaluation resources, and educational course materials supporting workforce development for students and early-career researchers. Work is performed in Philadelphia, Pennsylvania, with a period of performance from September 1, 2026, through August 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 8/14/26 |