Project Grant 2416650
- This $2,228,505 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 cloud-based, open, and collaborative cyberinfrastructure to enable data-driven exploration and modeling of urban data. The project aims to address two critical obstacles in urban computing: the lack of robust, well-engineered tools and open computing platforms, and the dispersed community of cross-disciplinary...
- This $299,574 federal Project Grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop a comprehensive cyberinfrastructure solution for training large-scale Graph Neural Networks (GNNs) to support spatiotemporal prediction and modeling of geographically distributed and heterogeneous data. The project led by Emory University will address key research challenges in formulating spatiotemporal prediction within a...
- This $500,000 project grant from the National Science Foundation's Office of Integrative Activities under the Integrative Activities federal grant program (CFDA 47.083) will support the development of a geospatial big data infrastructure and services. Led by researchers at North Carolina Central University in partnership with three other minority-serving institutions, the award will coordinate the creation and sharing of new GIS data layers according to FAIR data principles. Standardized...
- This Project Grant award, funded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of a cyberinfrastructure to catalyze and sustain the urban computing community. The $1,021,495 award, effective September 1, 2024 through August 31, 2029, aims to create open-source, scalable, and interoperable tools and methods for exploring urban data. The cyberinfrastructure will enable a collaborative environment for...
- This Project Grant award from the National Science Foundation Office of Advanced Cyberinfrastructure provides $995,817 to the University of Washington under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) from September 1, 2021 through August 31, 2024. The award funds the development of machine learning training and curriculum for earth science studies. Specifically, it supports the implementation of "CYBERTRAINING: IMPLEMENTATION: MEDIUM: MACHINE...
- This $747,844 project grant from the National Science Foundation's Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering program (CFDA 47.070), will develop a cybertraining curriculum focused on climate, water and environmental sustainability. Led by Purdue University, the collaborative project will create three levels of curriculum—foundational, expert, and developer—to train students, educators, and professionals on integrating and analyzing open...
- Summary California State University Long Beach Research Foundation received a $374,998 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program, effective August 1, 2025 through July 31, 2028. The award supports development of comprehensive, hands-on virtual learning materials for teaching data science applications in cybersecurity. These materials address a critical...
- This Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $499,907 to New York University to develop a fast, scalable, distributed cyberinfrastructure across multiple university buildings. The cyberinfrastructure aims to meet the specialized data storage and processing demands of media researchers through (1) large-scale storage, (2) fast, low-latency...
- This $999,668 Project Grant award from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070) supports a collaboration between the University of Maryland Center for Environmental Science (UMCES) and the University of Maryland, Baltimore County (UMBC) to create a "cybercollaboratory" that will integrate cyber infrastructure (CI) expertise with environmental science research. The key...
- The University of Arizona has been awarded a $125,000 Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070). This collaborative research project aims to develop a "T3-CIDERS" train-the-trainer program that will increase the literacy, accessibility, and adoption of advanced cyberinfrastructure techniques, tools, and platforms in cybersecurity and cyber-related...
CYBERTRAINING: IMPLEMENTATION: SMALL: ENABLING THE GEOSPATIAL TURN IN THE SOCIAL SCIENCES THROUGH CYBERINFRASTRUCTURE TRAINING -THIS PROJECT SERVES THE NATIONAL INTEREST BY EXPANDING ACCESS TO RAPIDLY GROWING GEOSPATIAL TOOLS AND DATASETS TO EMPOWER SOCIAL SCIENCE SCHOLARS WORKING ON SOME OF THE MOST PRESSING PROBLEMS. IN THE REALM OF SOCIAL SCIENCE RESEARCH, A WEALTH OF VALUABLE DATA WITH GEOSPATIAL ATTRIBUTES IS READILY AVAILABLE, SUCH AS MICRODATA FROM THE US CENSUS AND AMERICAN COMMUNITY SURVEY, REMOTE SENSING DATA FROM NASA AND USGS (SATELLITE IMAGERY, LAND USE, URBAN COVER, ETC.), AND FIELD DATA GENERATED THROUGH MOBILE AND DRONE-BASED SENSORS. SUCH RESOURCES CAN HAVE BROAD APPLICABILITY TO A WIDE RANGE OF FIELDS SUCH AS PUBLIC HEALTH, CONSUMER SCIENCE, URBAN PLANNING, HUMAN-ENVIRONMENTAL INTERACTION, POLITICAL SCIENCE, CRIMINAL JUSTICE, AND DISASTER MANAGEMENT, AMONG OTHERS. HOWEVER, LITERACY IN GEOSPATIAL TECHNOLOGIES, DATA, AND ETHICS HAS NOT BEEN A STANDARD COMPONENT OF SOCIAL SCIENCE CURRICULA, RESULTING IN A SERIOUS AND GROWING GAP IN METHODS AND TRAINING. MANY RESEARCHERS IN THESE RELATED FIELDS LACK PROFICIENCY IN COMPUTER PROGRAMING AND THE USE OF ADVANCED CYBERINFRASTRUCTURE (CI), GEOSPATIAL ANALYSIS, AND RELEVANT DATA SKILLS, HINDERING THEIR ABILITY TO DERIVE MEANINGFUL INSIGHTS FROM PUBLICLY AVAILABLE DATASETS. TO BRIDGE THIS GAP, TARGETED TRAINING PROGRAMS ARE ESSENTIAL, EMPOWERING SOCIAL SCIENCE RESEARCHERS TO NAVIGATE GEOSPATIAL AND CYBER TECHNOLOGIES AND INTEGRATE THEM INTO THEIR METHODOLOGIES RESPONSIBLY. BY INVESTING IN EDUCATION, INTERDISCIPLINARY COLLABORATION, AND ETHICAL CONSIDERATIONS, THIS PROJECT WILL ENABLE RESEARCHERS AND PRACTITIONERS TO UNLOCK THE FULL POTENTIAL OF GEOSPATIAL DATA CREATION, CURATION, ANALYSIS, VISUALIZATION, AND INTERPRETATION IN TRANSFORMATIVE AND IMPACTFUL RESEARCH PRACTICES AND DATA-DRIVEN POLICY MAKING. INCREASED GEOSPATIAL AND CI LITERACY IS THE FIRST STEP TOWARDS ENABLING THE APPLICATION OF MODERN DATA AND COMPUTATIONALLY INTENSIVE METHODS IN IMPACTFUL SOCIAL SCIENCE RESEARCH. IN THIS PROJECT, A MULTIDISCIPLINARY TEAM OF EXPERTS IN GEOGRAPHY, DATA SCIENCE, ANTHROPOLOGY, ADVANCED CI, AND TECHNOLOGY PEDAGOGY WILL DEVELOP A COMPREHENSIVE SET OF TRAINING MODULES THAT CAN BE INTEGRATED INTO INSTRUCTIONAL PROGRAMS FOR UNDERGRADUATE AND GRADUATE STUDENTS, LIBRARIANS, AND FACULTY FROM TWO AND FOUR-YEAR DEGREE GRANTING INSTITUTIONS. THE PROJECT COMPRISES TWO PRIMARY SETS OF ACTIVITIES: FIRST, THE DEVELOPMENT OF A COMPREHENSIVE CURRICULUM OF INSTRUCTIONAL MATERIALS FOR WORKING WITH COMPUTATIONAL SOCIAL SCIENCE DATASETS; AND SECOND, THE INTEGRATION OF THESE MATERIALS INTO VARIOUS DELIVERY MECHANISMS TARGETED TO DIVERSE STAKEHOLDERS. THE COMPREHENSIVE CURRICULUM WILL TAKE THE FORM OF FIVE BROAD MODULES THAT IMPART COMPETENCIES RELATED TO THE ACQUISITION, ANALYSIS, AND MANAGEMENT OF SOCIAL SCIENCE DATASETS ALONG THE DATA LIFECYCLE. EACH MODULE WILL BE DESIGNED TO PROVIDE A GENERAL OVERVIEW OF THE RELEVANT CI TOOLS USING SCENARIOS AND DATASETS RELEVANT TO SOCIAL SCIENCE STUDENTS AND WILL BE SPLIT INTO INDIVIDUAL LEARNING UNITS WITH ASSOCIATED DIFFICULTY LEVELS: BEGINNER, INTERMEDIATE, AND EXPERT THAT WILL ASSIST WITH COURSE ORGANIZATION FOR AUDIENCES AT ALL LEVELS. IN ADDITION, THE RESEARCHERS WILL EMPLOY A RANGE OF DELIVERY MECHANISMS TO INTEGRATE THE DEVELOPED CURRICULUM INTO EXISTING AND NOVEL LEARNING PATHWAYS, TARGETING STUDENTS AS WELL AS RESEARCHERS AND LIBRARIANS WHO WILL INTEGRATE THESE LEARNING MATERIALS IN THEIR OWN INSTITUTIONAL PROGRAMS. USING A TRAIN-THE-TRAINER APPROACH ALONG WITH INSTRUCTION ON PEDAGOGICAL METHODS, CURRICULUM DESIGN, AND ONLINE DISSEMINATION METHODS, THE PROJECT WILL ENABLE PARTICIPANTS TO SCALE AND SUSTAIN THESE TRAINING ACTIVITIES IN THEIR RESPECTIVE HOME INSTITUTIONS AS THEY TRAIN THE NEXT GENERATION OF SOCIAL SCIENCE SCHOLARS. THIS AWARD BY THE OFFICE OF ADVANCED CYBERINFRASTRUCTURE IS JOINTLY SUPPORTED BY THE SOCIAL, BEHAVIORAL, AND ECONOMIC SCIENCES DIRECTORATE AND THE NATIONAL DISCOVERY CLOUD FOR CLIMATE INITIATIVE WITHIN THE DIRECTORATE FOR COMPUTER AND INFORMATION SCIENCE AND ENGINEERING. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 6/2/25 | ||
| Not listed | $400.0k | 7/5/24 |