Project Grant 2627282
- The National Science Foundation Division of Mathematical Sciences awarded William Marsh Rice University $118,655 on August 1, 2026, to develop scalable quantile learning techniques for analyzing large-scale spatial-temporal data. The project, funded under the Mathematical and Physical Sciences program (CFDA 47.049), will advance analytical methods to unlock insights from heterogeneous spatial and temporal datasets while accounting for uncertainty and dynamic patterns. Deliverables include a...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $149,947 to the University of Houston System to conduct collaborative research on accounting for geolocation errors in spatial point pattern analysis for social science data. The research aims to develop statistical methods to better address location inaccuracies in event data sets used to study phenomena like crime, protests, and terrorism. The team will...
- This three-year project grant from the National Science Foundation's Mathematical and Physical Sciences program, totaling $359,940, will support the development of new statistical models and algorithms for analyzing large, spatially-dependent data sets collected from complex domains with irregular boundaries. Specifically, the awardee, Texas A&M University, will introduce a class of nonstationary models that can flexibly characterize potentially heterogeneous spatial dependence while...
- The National Science Foundation awarded the Regents of the University of Colorado $100,000 on June 1, 2026, to support the 5th International Conference on the Science of Science and Innovation at the University of Colorado Boulder, held June 28–July 1, 2026, under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). The award funds a three-day conference preceded by a pre-conference open data hackathon on June 28. The conference convenes researchers and practitioners across...
- The National Science Foundation Division of Atmospheric and Geospace Sciences awarded The University of Chicago $942,543 on July 1, 2026, under the Geosciences program (CFDA 47.050) to investigate satellite-era trends in extratropical circulation extremes and their relationship to heat and precipitation extremes. The research combines observational data, theory, physics-based Earth system models, and artificial intelligence models to quantify mechanistic understanding of how atmospheric...
- This National Science Foundation (NSF) Division of Atmospheric and Geospace Sciences Project Grant, under CFDA program 47.050 - Geosciences, provides $291,216 in funding to the Desert Research Institute (DRI), part of the Nevada System of Higher Education (NSHE), to develop an urban modeling system that examines the interaction between the urban heat island, outdoor water, and air pollution. The project aims to improve understanding of how cities and their excess heat, vegetation irrigation, and...
- The National Science Foundation Office of Integrative Activities awarded the University of Texas at Austin $450,000 on September 1, 2026, under the Geosciences program (CFDA 47.050) to develop computational tools for understanding coastal groundwater and ocean exchange using machine learning. The project will create a next-generation computational framework that combines neural operators with an open-source coupling framework to build hybrid physics-aware surrogate models emulating...
- This National Science Foundation (NSF) Geosciences program (CFDA 47.050) project grant award of $399,134 aims to study the combined role of urban expansion and climate change on extreme summer rainfall in two rapidly growing metropolitan areas, Austin, TX and Phoenix, AZ. The project will utilize advanced numerical modeling to characterize the physical processes driving changes in extreme summer rainfall patterns, and disseminate the findings to local stakeholders to inform infrastructure...
- This Project Grant award of $177,996.00, provided by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program, investigates the spatial and temporal patterns of urban heat islands (UHI) and urban pollution islands (UPI) at the neighborhood scale. The project aims to develop geographical methods to better understand how UHI and UPI interact and affect heat and air quality for urban residents. Key activities include: Collecting fine-scale ground...
- This National Science Foundation project grant of $499,684 supports research into the formation of urban ultrafine particles in Houston, Texas through July 2025. Funded by the Division of Atmospheric and Geospace Sciences under the Geosciences program (CFDA 47.050), the award reflects the program's goal of expanding understanding of the integrated Earth system through basic research. Specifically, the University of Alabama in Huntsville will conduct two six-week field campaigns to measure...
CONFERENCE: ENVR 2026 WORKSHOP: EMERGING DIRECTIONS IN SPATIAL STATISTICS -THIS AWARD PROVIDES PARTICIPANT SUPPORT FUNDING FOR THE ENVR 2026 WORKSHOP, TO BE HELD OCTOBER 8-10, 2026, IN HOUSTON, TEXAS, HOSTED JOINTLY BY THE UNIVERSITY OF HOUSTON, RICE UNIVERSITY, AND THE UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT HOUSTON. ENVIRONMENTAL CHALLENGES, FROM TRACKING AIR AND WATER POLLUTION TO ANTICIPATING EXTREME WEATHER, INCREASINGLY DEPEND ON MAKING SENSE OF ENORMOUS, COMPLEX STREAMS OF DATA COLLECTED FROM SATELLITES, SENSORS, AND CLIMATE MODELS. TURNING THIS RAW INFORMATION INTO SCIENTIFIC UNDERSTANDING AND SOUND POLICY REQUIRES STATISTICIANS AND DATA SCIENTISTS WITH SPECIALIZED TRAINING IN SPATIAL AND SPATIO-TEMPORAL METHODS, AS WELL AS THE ABILITY TO COMMUNICATE AND COLLABORATE WITH ENVIRONMENTAL SCIENTISTS, PUBLIC HEALTH RESEARCHERS, AND POLICYMAKERS. THIS AWARD SUPPORTS A WORKSHOP, ORGANIZED BY THE SECTION ON STATISTICS AND THE ENVIRONMENT (ENVR) OF THE AMERICAN STATISTICAL ASSOCIATION, THAT WILL BRING TOGETHER RESEARCHERS AND PRACTITIONERS WORKING AT THIS INTERSECTION TO SHARE EMERGING STATISTICAL METHODS, FORGE NEW INTERDISCIPLINARY COLLABORATIONS, AND IDENTIFY PRESSING RESEARCH DIRECTIONS MOTIVATED BY REAL-WORLD ENVIRONMENTAL PROBLEMS. BY FUNDING TRAVEL AND PARTICIPATION FOR APPROXIMATELY 16 GRADUATE STUDENTS AND EARLY-CAREER RESEARCHERS WHO MIGHT OTHERWISE BE UNABLE TO ATTEND, THE AWARD HELPS BUILD THE NEXT GENERATION OF THE ENVIRONMENTAL DATA SCIENCE WORKFORCE, SUPPORTING THE NATION'S CAPACITY TO UNDERSTAND AND RESPOND TO ENVIRONMENTAL CHANGE, PROTECT PUBLIC HEALTH, AND MANAGE NATURAL RESOURCES. THE WORKSHOP PROGRAM INCLUDES TWO HALF-DAY SHORT COURSES ON SPATIAL CAUSAL INFERENCE FOR ENVIRONMENTAL DATA AND ON SCALABLE GEOSPATIAL GAUSSIAN PROCESS AND MACHINE LEARNING METHODS, FOLLOWED BY TWO DAYS OF INVITED SCIENTIFIC SESSIONS COVERING TOPICS SUCH AS GAUSSIAN PROCESSES AND DEEP LEARNING FOR LARGE SPATIALLY CORRELATED DATASETS, ADVANCES IN POINT PROCESS MODELING, SPATIO-TEMPORAL METHODS FOR PUBLIC HEALTH APPLICATIONS, AND BROADER DEVELOPMENTS IN ENVIRONMENTAL STATISTICS. A DEDICATED POSTER SESSION WILL GIVE STUDENTS AND EARLY-CAREER RESEARCHERS THE OPPORTUNITY TO PRESENT ORIGINAL RESEARCH AND ENGAGE WITH ESTABLISHED INVESTIGATORS IN THE FIELD, AND STRUCTURED NETWORKING ACTIVITIES ARE DESIGNED TO CATALYZE NEW RESEARCH COLLABORATIONS ON EMERGING PROBLEMS IN ENVIRONMENTAL DATA SCIENCE. THIS AWARD SUPPORTS TRAVEL, LODGING, AND REGISTRATION FOR STUDENTS AND EARLY-CAREER PARTICIPANTS, WITH THE GOAL OF MAXIMIZING ACCESS TO THE WORKSHOP'S SCIENTIFIC AND PROFESSIONAL DEVELOPMENT OPPORTUNITIES FOR THOSE WHO WOULD NOT OTHERWISE BE ABLE TO ATTEND. THE WORKSHOP'S WEBSITE IS AT HTTPS://COMMUNITY.AMSTAT.ORG/ENVR/EVENTS/WORKSHOPS/ENVR2026WORKSHOP. 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 | $20.0k | 8/12/26 |