Project Grant 2319370
Award Date 9/15/23
Completion Date 8/31/25
Dollars Obligated $145K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Fort Collins, CO 80521, USA
Similar Awards
- The National Science Foundation (NSF) awarded a $138,841 Project Grant to Cornell University under the Mathematical and Physical Sciences program (CFDA 47.049). This collaborative research grant aims to develop and apply algebraic tools to identify threats embedded within legitimate communications streams and online forums. The key objectives are to enhance statistical methods and artificial intelligence to detect and combat threats, especially in environments lacking training data such as new...
- This Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) provides $114,416 to Bucknell University to conduct collaborative research on detecting and combating threats embedded within communications streams and online forums. The research aims to develop advanced statistical and artificial intelligence methods to rapidly recover data structures and detect outliers in multidimensional...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $100,000 Project Grant to the University of Central Florida (UCF) to develop efficient and effective algorithms for detecting anomalies in high-dimensional spatiotemporal data with large amounts of missing data. Under CFDA 47.049 - Mathematical and Physical Sciences, the project aims to address the challenge of predicting rare anomalies using high-dimensional real-world data with mixed-type multivariate response,...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $200,000 Project Grant to The University Corporation, a non-profit organization located in Northridge, CA. The grant, funded under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), focuses on developing new statistical modeling and data resampling methods to address challenges posed by incomplete, missing, and fragmented observations in large datasets. Key objectives include: Advancing...
- This $299,965 Project Grant awarded by the National Science Foundation (NSF) Division of Mathematical Sciences will allow Colorado State University (CSU) to develop and validate a new statistical model and analytical methods for assessing extremal dependence in high-dimensional data. This work aims to improve quantification of joint risks in applications such as finance, insurance, and climate science. The project will include training a graduate student in extreme value analysis techniques...
- This $292,362 federal Project Grant award, provided by the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program, aims to develop new mathematical theory and statistical tools for monitoring changes in complex systems, such as global trade networks. The project will provide real-time change detection methods with theoretical guarantees for identifying atypical patterns in comprehensive trade databases, with...
- The National Science Foundation awarded Colorado State University a $275,798 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) for the period of September 1, 2021 through August 31, 2024. The grant funds research titled "ATD: THREAT DETECTION BASED ON SIMULTANEOUS MONITORING OF COMPLEX SIGNALS FROM MULTIPLE SOURCES" which aims to advance the progress of mathematical and physical sciences through increasing understanding of major problems confronting the...
- The National Science Foundation (NSF) awarded a $350,796 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to South Dakota State University (SDSU) to develop statistical methods for detecting and characterizing latent subpopulations within large, complex datasets. The research aims to create flexible, stable, and trustworthy models for "few-shot" or "one-shot" learning problems, where there are only a few examples in each data category. The...
- This federal Project Grant award, provided by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049), will support research on optimization techniques and geometrically constrained neural networks for threat detection. The $250,000 award to Colorado State University (CSU) will run from September 1, 2024, to August 31, 2027. The research will focus on adapting and tuning mathematical tools, including geometry, topology, optimization, and machine learning,...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $249,999 Project Grant to Trustees of Boston University to develop an innovative approach to change-point and anomaly detection using satellite data. The research aims to address challenges in tracking deforestation, degradation, and forest regrowth by leveraging new mathematical frameworks and artificial intelligence techniques. The project will explore applications in areas such as human migration, climate...