Project Grant 2541968
- Federal Project Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded Dartmouth College $460,590 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for a five-year CAREER project running from July 1, 2026 through June 30, 2031. This award supports research into artificial intelligence (AI) systems that leverage human cognitive principles to develop more interpretable, generalizable, and collaborative...
- Federal Grant Award Summary Dartmouth College received a $300,000 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), effective July 15, 2025 through June 30, 2027. This collaborative research award supports the development of resilient data stream algorithms designed to process massive volumes of data from diverse industries including...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded Dartmouth College a Project Grant of $490,402 (award date: July 1, 2025; completion date: June 30, 2028) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop unified computational methods for modeling shape and appearance across multiple scales. The research addresses a fundamental limitation in computer graphics and related...
- Federal Grant Award Summary Dartmouth College received a $558,686 Project Grant from the National Science Foundation (NSF) Division of Astronomical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program, effective September 1, 2025 through August 31, 2028. The primary deliverable is the development and implementation of an artificial intelligence-powered image classification system utilizing convolutional neural networks to detect and catalog a statistically robust sample of...
- This Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, will build an artificial intelligence (AI) infrastructure to support research on social policy and poverty reduction. The $142,000 award to Trustees of Dartmouth College will develop a novel, trustworthy AI system that 1) integrates and processes diverse policy-related datasets, 2) creates AI models to learn from existing policies and provide...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences awarded Dartmouth College $172,641 under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) for a two-year project grant running from September 1, 2025 through August 31, 2027. This research initiative investigates intensive agricultural development in northern environments, challenging conventional theories about the environmental and social conditions required for...
- Federal Grant Award Summary Dartmouth College received a $125,888 Project Grant from the National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041), effective July 1, 2025 through June 30, 2027. This collaborative research initiative supports the development of photonic-integrated-circuit two-photon (PIC-2P) microscopy technology designed to advance deep-tissue imaging capabilities. The primary...
- The Trustees of Dartmouth College received a $440,000 project grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems to develop a new type of artificial intelligence that requires no more power to operate than what is available from a self-powered sensor. The goal of the research is to design, implement, and evaluate an analog long short-term memory that is 16 times more power efficient than the state-of-the-art. This will be achieved through...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a CAREER Project Grant of $341,618 to the University of California, Berkeley (UC Berkeley) on June 15, 2025, for foundational research in 4D human video understanding. The research will develop a scalable, transformer-based computational framework capable of analyzing both third-person (exocentric) and first-person (egocentric) video to capture the four-dimensional state of...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a $180,000 Project Grant to Trustees of Tufts College beginning October 1, 2025, and concluding September 30, 2027, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This collaborative research initiative addresses intellectual property protection challenges arising from the use of generative artificial intelligence (AI) in...
Dartmouth College received a $297,131 Project Grant from the National Science Foundation's (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop human-aligned video understanding systems. The five-year award, effective July 1, 2026 through June 30, 2031, will produce benchmark datasets, evaluation tools, and privacy-preserving generative models that enable artificial intelligence systems to interpret emotional and social context in videos while maintaining data privacy and providing explainable decision-making. The research introduces a unified closed-loop learning framework integrating empathy-driven modeling, reasoning-aware evaluation, and privacy-preserving data generation to advance socially responsible AI applications. The project will deliver tangible research outputs and educational resources designed to improve real-world applications such as accessibility tools, including audio descriptions for blind and low-vision audiences. Dartmouth will integrate the developed benchmark datasets, evaluation protocols, and privacy-preserving models into education and outreach activities to broaden participation in artificial intelligence research and development. The work directly addresses limitations in current AI systems that struggle to explain their decisions and operate on data containing sensitive personal information, positioning the outcomes to support responsible artificial intelligence deployment across multiple sectors.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $297.1k | 5/18/26 |