The National Science Foundation (NSF) awarded a $500,000 Project Grant to The Johns Hopkins University on August 15, 2023 under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant will fund the establishment of a 30 petabyte (PB) campus-wide research data storage facility at Johns Hopkins. This high-performance storage system will support a wide range of scientific research projects at the university, including large numerical simulations and microscopy data....
The National Science Foundation awarded a $749,997 project grant to The Johns Hopkins University from September 2021 through August 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). This funding supports collaborative research to develop integrated analysis of single-cell and spatially resolved omics data. The Computer and Information Science and Engineering program aims to advance computing, communications, and information science through...
This $3.99 million Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the FRAMEWORKS project from July 2021 through June 2026. The Johns Hopkins University will develop advanced cyberinfrastructure to support sustainable community usage of large datasets from numerical fluid dynamics simulations. Per the proposal, Drs. Sullivan and Patton will use their in-house Large Eddy Simulation code at the University Corporation for...
The Johns Hopkins University was awarded a $315,070 Project Grant from the National Science Foundation Office of Integrative Activities under the Geosciences federal grant program (CFDA 47.050). The grant will support the collaboration between Johns Hopkins University and the Baltimore City Ingenuity Project to broaden pathways to an undergraduate degree in geosciences from January 1, 2022 to December 31, 2024. This collaboration aims to strengthen and enhance the national scientific...
The Johns Hopkins University received a $340,128 Project Grant award from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The award will support research from July 2023 through June 2026 focused on developing new data science approaches and computational models for large-scale shape and image registration analysis. Specifically, the university will conduct theoretical, numerical, and...
The National Science Foundation (NSF) Office of Advanced Cyberinfrastructure awarded a $792,866 Project Grant to The Johns Hopkins University under the CFDA Program 47.070 - Computer and Information Science and Engineering. The grant supports the "Open SciServer" project, which aims to transition the existing SciServer data-driven science platform to an open-source, sustainable model. Key activities include migrating the codebase to open-source, enhancing administrative functions,...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $118,760 to The Johns Hopkins University will support research to advance the state-of-the-art in optimization theory and algorithms for modern data science challenges. The project aims to develop novel computational and statistical analysis tools to understand the performance of off-the-shelf optimization heuristics, and leverage problem structure to design...
The National Science Foundation awarded a $299,854 project grant to The Johns Hopkins University under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to support the Observational Health Data Sciences and Informatics Open Source Ecosystem development project from September 15, 2022 to August 31, 2023. The project aims to mature open source governance and further develop the software ecosystem of the Observational Health Data Sciences and Informatics community. Specific...
The National Science Foundation awarded The Johns Hopkins University a $900,000 Project Grant under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to conduct collaborative research focused on understanding robustness in machine learning via parsimonious structures from October 1, 2022 to September 30, 2025. Specifically, the University will research conditions under which one can detect adversarial attacks on networks or data poisoning and reconstruct...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award, totaling $299,996.00, supports the development of software to enable advanced analysis of linked datasets. The project aims to address challenges in post-linkage data analysis, a critical need for federal statistical agencies, researchers, and practitioners in health services. The software will provide robust, user-friendly capabilities for validation,...