Grants

VETERANS AFFAIRS, DEPARTMENT OF.VETERANS AFFAIRS, DEPARTMENT OF.244-NETWORK CONTRACT OFFICE 4 (36C244)

C1DA--A/E Replace Existing Substation A9 Project 642-26-117 NCO4 Construction East

VETERANS AFFAIRS, DEPARTMENT OF.VETERANS AFFAIRS, DEPARTMENT OF.PCAC (36C776)

C1DZ--621-24-701 EHRM Infrastructure Upgrades Tier 3 Data Center Construction - Mountain Home VAMC

VETERANS AFFAIRS, DEPARTMENT OF.VETERANS AFFAIRS, DEPARTMENT OF.261-NETWORK CONTRACT OFFICE 21 (36C261)

C1DZ--640-26-113 | Renovate B1002 at Sunnyvale - Design

DEPT OF DEFENSE.DEPT OF THE ARMY.AMC.ACC.ACC-CTRS.ACC-APG.W6QK ACC-APG

C2 Cross Functional Team (CFT) Broad Agency Announcement

NSF

This series of conferences and convenings is focused on advancing knowledge that has direct application to pressing societal problems for keeping communities safe and healthy in the face of a growing number of weather-related risks. A wide range of health issues are weather related such as respiratory issues due to poor air quality, heat stress, impacts on water quality from flooding, and others. There are many reasons for the weather community to work closely with the medical/health communtity to keep people safe and healthy. While there are examples of effective collaborations between the weather and health communities, much more could be done to provide the medical researchers and practitioners with information to reduce health impacts from weather. This set of meetings brings together key professionals from academia, the profit and non-profit sector, and other interested parties to foster effective collaborations to accelerate the understanding links between weather and health. Those collaborations, and the research that will result from them, will ultimately lead to new products and services that improve the safety and health of the public. Broader impacts of the work will provide education and training of early career professionals seeking careers at the intersection of weather and health to build a strong and well integrated community of practice in this area of societal need. This series of convenings involves virtual and in-person meetings. The in-person discussions take advantage of existing American Meteorological Society meetings that bring together many of key stakeholders that are essential to contribute to project goals. A Steering Committee of leaders working at the intersection of weather and health guide the formation of active working groups that explore issues such as data and metadata standards to allow the interoperability of health and weather datasets; consistent health reporting information; and new approaches to education and training of professionals working at the intersection of weather and health. The Steering Committee and working groups set the agendas for the three in-person meetings. These will involve scientists and professionals from government, academia, and the private, and NGO sectors in weather information and services. They will also include health and medical professionals whose job is to keep communities safe and healthy. The in-person meetings include one at the American Meteorological Society (AMS) Annual Meeting in January 2026. This national meeting has over 5000 attendees, many of whom work at the intersection of weather and health. Another is the AMS Washington Forum in April, 2026. This convening brings together thought leaders from government and the academic, private, and NGO sectors. The last formal in-person meeting will happen just before or after the AMS Summer Community Meeting in August, 2026 where collaboration across the weather enterprise is facilitated and emphasized. Virtual working groups will also convene in the interim between in-person meetings to enable conversations between all interested parties on a variety of weather and health related issues. These convenings are designed to result in new and/or expanded collaborations to foster high-impact, action-oriented interdisciplinary research between those in the weather and health communities with a goal of advancing and accelerating our how to better address issues impacting human health in a rapidly changing and increasingly unpredictable weather present and future. 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.

NSF

Red tides, a type of harmful algal bloom, are becoming increasingly common in waters along the U.S. Gulf Coast due to warming ocean waters. Red tides are caused by the rapid growth of a type of marine microorganism that thrives in warm coastal ocean waters and contains dangerous neurotoxins. As a result, these tides pose a threat to public health. Sea spray, from breaking waves or storms during red tides, kicks aerosols into the air, and these are carried by the wind over beaches and coastal communities. During red tides, there are reports of increased incidences of human respiratory conditions, like asthma and pneumonia, among others. This research focuses on improving red tide forecasting and assessing and mitigating public health impacts. It does this through an innovative model-data integration framework designed to improve the prediction of red tides and their link to human health. Research involves an interdisciplinary team of experts in modeling, marine ecology, data science, and medicine. Southwest Florida, a hotspot for red tides with a large coastal population, serves as a testbed for the research. It was chosen because it has abundant, relevant, and accessible data for both red tide occurrences and population respiratory health. This research fills a present gap in our understanding of the link between red tides and respiratory illness burdens. Broader impacts include results that can lead to a red tide early-warning system. It also helps support adaptive strategies that enhance the resilience of coastal communities and helps guide public health preparedness. The research trains students and postdoctoral researchers to work on the boundary between geoscience and health. The research serves the national interest through advancing the national health and welfare by promoting the progress of science to address a growing health concern in coastal communities. This project explores a new model-data framework that advances predictions of red tides and their tie to human health conditions under changing coastal water conditions in the U.S. Gulf Coast. Earth system modeling that incorporates oceanographic, atmospheric aerosol, and other geoscience data will be combined with the occurrence of health issues to discern dynamic relationships between red tides and human health. The research involves analysis of spatial and temporal data of both issues and is designed to fill the gaps between Earth System modeling results and health records. This involves integration of simulations from the High-Resolution Model Intercomparison Project (HighResMIP) with machine learning to develop a framework for combined red tide prediction and health risk assessment. It harmonizes red tide occurrence records, environmental observations (e.g., ocean temperature, Loop Current dynamics, wind speed and direction, river discharge, nutrients), and public health data from hospitals and clinics. Models trained on these data will identify links between red tide dynamics and respiratory health burdens. Research results include generation of a linked database of red tide and respiratory illness, scenarios that identify land–ocean–atmosphere drivers of red tides, and creation of risk metrics for public health mitigation including red tide severity and a respiratory impact indices. The project provides an open-science framework that advances the NSF mission of promoting the progress of science and advancing the national health and welfare. 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.

NSF

Arctic regions are experiencing warming air, rising ocean temperatures, and reduced sea ice cover. This increases the occurrence of harmful algal blooms in northern latitudes. These blooms consist of high concentrations of toxic algae in coastal marine waters that poison marine life and pose significant threats to human health. The toxins can cause stomach pain, headache, and rashes as well as more serious problems like liver damage, seizures, cardiac arrhythmias, and death. Knowledge of the impact of harmful algal blooms on Arctic populations and marine ecosystems is limited. Once relatively immune to such blooms, Arctic coastal waters are becoming increasingly susceptible to their presence. This research undertakes exploratory research to investigate impacts of harmful algal blooms on Arctic peoples and marine ecosystems. Western Greenland was chosen for the pilot due to its seasonal sea ice cover and the calving of ice bergs from continental glaciers, both of which can host toxic algae. Here local populations subsist primarily on marine mammals and sea life (i.e., seals, whales, fish, and shellfish), all of which, under the right environmental conditions, can contain algal bloom toxins. The project team is composed of scientists who are experts in Arctic environmental science, social scientists, and medical professionals who are well acquainted with Greenland health issues and the associated data. It also includes significant interaction with the local communities to learn from their experience. Broader impacts of the work include an improved understanding of the impacts of toxic algae on northern populations, critical fisheries, other marine food sources. There is also the likelihood that results of the work can be translated to other populations in the northern latitudes. This project advances knowledge across the fields of environmental science and human health in northern latitudes. It draws on data as diverse as indigenous knowledge, coupled natural/human systems, eco-dynamics, historical ecology, food security and resilience theory. The work involves data and statistical analysis of environmental condition records from the present back to 1777; data from satellite remote sensing and ocean hydrographic, salinity, and temperature data; marine ecosystem and biology data and extensive stakeholder engagement; state-of-the-art gridded ocean data sets and local health and hospitalization records. It involves scenario-building for identifying the impacts of harmful algal blooms in northern latitudes. This approach will improve understanding of how different environmental factors work together to trigger algal toxin-related health problems and perhaps help devise mitigations to reduce human health risks in rapidly evolving northern climates and the associated marine ecosystem responses. The work falls withing the context of the One Arctic One Health initiative, initiated during the U.S. Chairmanship (2015–2017) of the Arctic Council which was designed to strengthen regional knowledge sharing and establish knowledge hubs and coordination for health concerns in the Arctic member states. Project tasks involve (1) establishing baselines for algal bloom environmental factors; (2) generating a detailed analysis of potential occurrences of north latitude harmful algal blooms from the past to present; (3) identifying health issues that can be traced to the presence of algal neurotoxins and the consumption of different marine species (fish/marine mammals). 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.

NSF

Sand and mineral dust storms are natural events where strong winds lift soil particulate matter into the atmosphere. Inhalation of these particles can cause serious respiratory and cardiovascular health effects. Using Arizona as a testbed, this research develops and tests a novel, experimental approach that combines satellite remote sensing and health data to better understand the health impacts and hospitalization rates related to dust storms. The project involves atmospheric science, public health, and environmental science. This interdisciplinary approach provides a robust framework for understanding and addressing the adverse health impacts of dust storms, such as asthma, Valley Fever, and cardiovascular disease. This work is important because, over the last few decades, there has been increasing dryness in the U.S. Southwest and persistent droughts elsewhere in the nation. This has resulted in more frequent and intense dust being blown into the atmosphere. This research combines hospitalization records with remote sensing and machine learning to determine dust mineral composition and its link to serious health complications. Knowing which minerals are in the dust and which are most harmful helps health professionals predict and mitigate health risks associated with wind-blown dust. Broader impacts of the work include new method-development, improved correlation and understanding of airborne dust-related health issues, and results that can be used in, or applied to, a variety of environmental health studies. Results of his project can lead to significant advances in our knowledge of how to address dust-related, air quality health issues. The project also aligns with NSF’s mission to promote the progress of science and advance national health and welfare. Sand and mineral dust storms are significant aeolian processes exacerbated by human activities. Globally, billions of tons of dust are injected into the atmosphere due to farming, desertification, and other human-created and natural environmental processes. These suspended aerosols result in the increased risk of serious health problems. Despite this known link, significant knowledge gaps remain on the actual cause of dust inhalation-related health impacts, particularly with regard to lung sensitivity to dust composition (i.e., mineralogy). This research investigates the health impacts of airborne dust by using machine learning to analyze its mineral composition and correlate it with hospital records on respiratory, cardiovascular, and airborne dust-related infectious diseases. The project uses the Hybrid Single Particle Lagrangian Integrated Trajectory model to simulate air parcel trajectories. It also utilizes advanced, remote sensing, hyperspectral data from the Hyperion, EMIT, CALIPSO, MODIS, and VIIRS satellites. These inputs are then combined with other environmental and hospitalization data using advanced mathematical techniques. Results will identify dust storm sources and develop understandings for use in forecasting health impacts and, when used by public health officials, to help mitigate dust storm impacts. Statistical approaches are employed to analyze the hospitalization patterns derived from Arizona public health databases. Integration of the disparate data allows development of a predictive model for forecasting and mitigating dust storm health impacts as a function of dust and mineral concentration and composition. Research results can be used to develop effective health prevention and/or mitigation strategies that improve dust-related health outcomes in arid and agricultural regions. 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.

NSF

Wildland fire smoke is an increasing threat to public health in Alaska where climate-driven changes are resulting in more frequent large wildfires and widespread smoke exposure. This research explores the utility of the U.S. EPA's Benefits Mapping and Analysis Program (BenMAP) that was developed to measure urban air quality. It will also test the tool's ability to quantify the health and economic burdens of wildfire smoke in the context of Alaska's rural and widely dispersed population. Tasks and research undertaken include: (1) Using the EPA wildfire smoke assessment tool to assess wildfire smoke particulates in the 2.5 micron size fraction to see if there is a correlation between the size of these particles and health outcomes in Alaska since this size-fraction has the largest documented impact on the human respiratory system; (2) Working with Alaskan fire managers to develop realistic wildfire and prescribed and cultural fire management practices that take into account associated smoke, air quality, and smoke plume distribution; and (3) Assessing barriers to, and opportunities for, scaling findings across the Alaskan rural landscape and, potentially, for application of the tool to rural areas across the U.S. The research is interdisciplinary and includes experts from the fields of atmospheric science, public health, and epidemiology. It also includes interaction with fire managers and state and tribal corporations. Broader impacts of the work include providing a decision support tool for wildfire smoke and climate adaptation-planning that takes into account human health impacts and is applicable to Alaska and potentially to rural areas across the U.S. The health impacts of wildfire smoke inhalation is increasingly recognized as a serious health problem due to the increasing frequency and size of wildfires due to increasingly hot and dry weather in some parts of the U.S., driven by climate change. The large tracts of inland boreal forest in Alaska and neighboring Canada are highly susceptible to conflagration, with recent wildfires impacting the air quality up to hundreds of miles from the burn front. This research explores the utility of a tool that can help assess the health and economic impact of wildfire smoke on human health, in particular issues that are respiratory related. Research includes combining historical Alaskan wildfire smoke air quality data with that on population and health outcomes and using these data to explore the utility of the EPA BenMAP urban air-quality tool, identify needed adjustments, and see if it has imitations when applied to rural settings. The project team will also work with land managers and tribal nations to examine Alaskan fire management strategies such as fire suppression, prescribed burns, and cultural fires to examine their impacts on air quality with the goal of predicting realistic air quality implications of such practices and the aerial extent of the smoke plumes. Challenges in adopting the EPA tool in Alaska will be documented as will the potential to augment the tool and scale its use more broadly. The synthesis of Alaskan air quality and particle size fraction data for the last ~20 years will be combined with geographic information from census tracts, or county-equivalents and population; hospitalization; and other baseline health outcome data from the Alaskan Department of Health. Results of the reserach should open a new avenue for evaluation of wildfire smoke health impacts on populations in Alaskan rural populations. 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.

NSF

This research investigates the novel hypothesis that wind-blown dust (i.e. aerosols), resulting from wetting/drying cycles in coastal soils along shorelines experiencing harmful algal blooms, can contain high concentrations of algal bloom-generated neurotoxins. Inhalation of these aerosols can trigger respiratory and/or cardiovascular responses in people living along the coast, negatively impacting their health. Testing the hypothesis involves a coordinated approach that uses water sampling and analysis for algal bloom toxins, air quality, and aerosol sampling and analysis, as well as the field deployment of high frequency soil redox sensors and real-time monitoring, sample processing, and outreach during bloom events. The study area selected is around Lake Erie and near the city of Toledo, Ohio which gets it drinking water from the Lake. This area has repeatedly been impacted by harmful algal blooms in recent years. The research team is interdisciplinary and includes involvement by an expert in soil geophysics. It also includes medical personnel, one of whom is an expert in lung inflammation and clinical translation and one who is an expert in high-resolution toxin analysis. The work also involves collaboration with the Great Lakes Center which is jointly funded by the National Science Foundation and National Institutions of Environmental Health Sciences. Broader impacts of the work include improving understanding of health conditions caused or exacerbated by harmful algal blooms in coastal settings and moving geoscience research results quickly and directly to health practitioners to provide more timely and faster incorporation into improved condition treatment and public health interventions. The research also supports an early career researcher and postdoctoral fellow, increasing the interaction between geoscience and medical/health practitioners. In the Great Lakes region, harmful algal blooms are a seasonal concern due to the release of toxins called microcystins into the water. These toxins can harm human health. Harmful algal blooms are influenced by wetting and drying cycles in the soil and can concentrate microcystins in the soil during drying episodes. Evidence suggests that inhaling airborne aerosols containing algal toxins may be a significant route of exposure and trigger negative respiratory and cardiovascular conditions in coastal populations. This is because toxic algae-related hydrophobic congeners (microcystins) appear to be disproportionately enriched in water-rich aerosols due to their affinity for surfactant-stabilized bubble films. Preliminary data indicate that inhaling aerosols containing these toxins can provoke strong inflammatory responses in lung tissue. Thus, causing serious health implications. This study investigates how environmental changes, such as seiches (the swashing of coastal waters up over coastal lands) and heavy rain influence the release and airborne spread of microcystins in coastal areas. The project uses specialized soil sensors and air samplers to sample impacted coastal soils and waters in areas affected by harmful algal blooms. The analysis of these data are used to determine whether changes in soil characteristics and composition due to wetting and drying increase the likelihood of airborne toxins and people's exposure to them. The findings will provide valuable insights into the development of more effective public health strategies in regions prone to harmful algal blooms. The study addresses a critical gap at the intersection of soil biogeochemistry, atmospheric science, and public health by exploring how soil chemistry may influence airborne toxin risks. 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.

NSF

Island chains, like Hawaii, the Virgin Islands, U.S. Pacific Island territories, and others are frequently affected by extreme weather events that pose serious threat to public health systems and the infrastructure that supports them. Many inhabited islands in the Pacific Ocean and Caribbean are too small to be resolved in global climate models; thus, island decision makers often lack site-specific data needed to make informed decisions about current and future risks to their populations due to extreme weather events. This research explores the integration of high-resolution geographic and weather information to support planning for the protection and continuous operation of healthcare facilities for impacted populations. Using the island nation of Fiji as a pilot/testbed, this project combines state-of-the-art advances in machine learning and geospatial modeling and data on health facility access, infrastructure, and condition. The goal is better prediction of impacts on island chains of climate-driven hazards related to wind and rain/flooding. Key outcomes will be a decision-support platform to help health officials and practitioners assess and prepare for weather-related health infrastructure risks. It will also advance modeling capabilities in integrating health and weather data. Broader impacts will be improving the ability of island chains with far flung populations to respond to the health implication of weather-related disasters. The work also directly engages atmospheric scientists with island chain health officials and decision makers, stakeholders which rarely work together. This research develops cutting-edge, machine-learning-based, modeling tools for tropical cyclone weather events and integrates them with climate health vulnerability assessments. This will yield risk projections for health infrastructure for island chain populations. This project uses Fiji as a pilot/testbed, playing off already established relations between the science team and island health officials and decision makers. Research will involve development of computationally intensive generative tools that: (a) emulate tropical cyclone impacts, (b) downscale climate model data, and (c) statistically categorize extreme events. Researchers are part of a technical advisory group to the South Pacific Community which provides them with access to health facility information allowing the combination of that data with projections of cyclone frequency, intensity, and landfall. This will help decision makers better protect against damage and loss of health operations during tropical cyclone events. Projections will be embedded in a user-friend decision-support tool that allows visualization and analysis of high-risk areas and the distribution of climate risks to health infrastructure. The tools will be developed to ensure accessibility for health/medical practitioners and decision makers. They will combine machine-learning-enabled risk projections with empirical health infrastructure vulnerability data which can be used in other locations to develop similar contextually informed extreme weather-health data for island populations. 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.

NSF

Rural mountain communities like Appalachia face increasing risks from extreme weather events like inland flooding, as tragically demonstrated by the catastrophic impacts of Tropical Storm Helene in 2024. These communities experience disproportionate health consequences from such disasters, including respiratory illnesses, waterborne diseases, and mental health disorders, yet receive limited research attention and resources compared to coastal and urban areas. This Research Coordination Network (RCN) serves the national interest by advancing scientific knowledge and public welfare through an interdisciplinary collaboration of geoscientists, public health professionals, social scientists, and community leaders to identify evidence-based strategies for enhancing flood resilience, targeted adaptation solutions, and reducing health disparities in rural communities. Through knowledge sharing and coordinated research, the network will have broader impacts that include actionable recommendations to protect community health, strengthen rural infrastructure, and build economic resilience. The findings will be designed for scalability, enabling broader application to other rural communities nationwide. This project promotes scientific progress by equipping communities with the tools to mitigate and adapt to extreme weather events. The research coordination network will operate through five interdisciplinary working groups addressing critical themes: (1) Geophysical and weather related disaster modeling for flood prediction, developing high-resolution flood forecasting models tailored to rural and mountainous regions; (2) Flood exposure and health outcomes, investigating short- and long-term health effects of inland flooding; (3) Social and economic dimensions of flood vulnerability, exploring how structural and sociodemographic factors shape resilience; (4) infrastructure resilience and adaptation strategies, assessing flooding impacts on essential systems in communities with limited resources; and (5) Community-led adaptation and policy implementation, collaborating with stakeholders to integrate indigenous knowledge systems into resilience planning. The research network will implement a structured five-year coordination plan featuring quarterly virtual meetings, annual World Café-style collaborative sessions, pilot funding opportunities for innovative research, and developing a Rural Resilience Network Exchange – a digital platform for data sharing, community engagement, and knowledge dissemination. This network will facilitate interdisciplinary collaborations across institutions through virtual workshops and student-led research initiatives embedded within working group activities. The project will tackle methodological challenges in flood hazard assessment by integrating cutting-edge atmospheric and environmental data with health and socioeconomic indicators, creating a more comprehensive framework for understanding and mitigating flood impacts in rural communities. Through these coordinated efforts, this research network will produce peer-reviewed publications, policy briefs, and community-engaged research products that advance scientific knowledge and inform practical resilience strategies for Appalachia and rural regions globally. 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.

Technology Access Foundation

Develop a wide area network to provide technical support, registration, and group tasks as well as a virtual institute of classes to 15 computer labs supported by TAF which serve youth of color.

NYC Department of Cultural Affairs

C4 Choral Composer Conductor Collective

NYC Department of Cultural Affairs

CABD, Inc.

New NY Broadband 15-16 Capital

Cable Communications of Willsboro Broadband Capital

NYC Department of Cultural Affairs

Caborca Inc.

Transportation Agency

CABOT TOWN OF BETTER ROADS

Cabots Museum Foundation

Cabots Museum Foundation is an active grantmaking foundation based in Dsrt Hot Spgs, CA. Focus: arts. Contact the foundation directly for current funding opportunities.

Cabrillo College Foundation

Cabrillo College Foundation is an active grantmaking foundation based in Aptos, CA. Focus: education. Contact the foundation directly for current funding opportunities.

Cache Education Foundation

Cache Education Foundation is an active grantmaking foundation based in North Logan, UT. Focus: general. Contact the foundation directly for current funding opportunities.

Cade Museum Foundation Inc

Cade Museum Foundation Inc is an active grantmaking foundation based in Gainesville, FL. Focus: arts. Contact the foundation directly for current funding opportunities.

Putnam

Cady Brook Bridge & Five Mile River Bridge

Cocina Cultura LLC

Cafe' de olla Packaging