Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1392&sort=title
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=title", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1405&sort=title", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1393&sort=title", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1391&sort=title" }, "data": [ { "type": "Grant", "id": "14745", "attributes": { "award_id": "1I21RX004647-01A1", "title": "Water-based Activity to Enhance Recovery in Long COVID", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2024-01-01", "end_date": "2026-09-30", "award_amount": null, "principal_investigator": { "id": 31435, "first_name": "Jennifer Kaci", "last_name": "Fairchild", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1497, "ror": "", "name": "VETERANS ADMIN PALO ALTO HEALTH CARE SYS", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The primary research question of the proposed study is this: Is a water-based exercise + cognitive training (WATER+CT) intervention for Veterans with neurological manifestations of long-COVID feasible? We address the need to enhance recovery in this vulnerable population through an innovative multi-component training program that has successfully been used in other cognitively impaired populations. The aims of the proposed research include: 1) demonstrate feasibility as shown by good recruitment and retention rates and stakeholder ratings; 2) evaluate appropriateness of suggested inclusion and exclusion criteria; 3) evaluate acceptability of water-based physical exercise + cognitive training interventions; 4) assess ability of selected outcome measurement techniques to determine the efficacy of water-based physical exercise + cognitive training; and 5) examine outcome “moderator” and “mediator” measurement techniques. These aims will be tested in a single-blind randomized controlled pilot trial that will establish the feasibility of WATER+CT. This trial will include 50 Veterans, age 18 – 89, experiencing neurological manifestations of long-COVID, with half randomized to WATER+CT and half to usual care. WATER+CT consists of two- phases: 1) an exercise training phase and 2) a cognitive training phase. The exercise training (i.e., WATER) consists of a six-month long individualized exercise program of water-based exercises. During this phase, Veterans will come to thrice-weekly group sessions at Aquatic Therapy Center at VA Palo Alto Health Care System (VAPAHCS). After completion of the exercise program, Veterans will begin classroom-based cognitive training at VAPAHCS for up to two months. The CT is based on an efficacious training program that is structured around two components, pre-training, and mnemonic training, both of which have been used successfully in persons with cognitive impairment. Veterans randomized to the UC control condition will receive educational materials about brain health in addition to their usual care, which is the care they would typically receive in the VA. Assessments of adherence will be administered throughout treatment and measures of feasibility will be completed post-treatment. Participants will complete a variety of neuropsychological measures taping into areas of cognition such as attention, executive functioning, and memory. Participants will also undergo physical fitness assessments including a 6-minute walk test and an exercise treadmill test. To study possible predictors of response to treatment, we will also collect physiological (VO2 max), biological (inflammatory markers and BDNF plasma levels), and genetic data (APOE and BDNF genotypes) from these participants. We hope to provide initial evidence of the feasibility of a water-based exercise training + cognitive training program and provide foundational support for a future VA Merit application targeting enhanced recovery in Veterans with neurological manifestations of long-COVID.", "keywords": [ "2019-nCoV", "Address", "Adherence", "Adult", "Adverse event", "Aftercare", "Age", "Area", "Attention", "Biological", "Brain-Derived Neurotrophic Factor", "COVID-19", "COVID-19 pandemic", "COVID-19 survivors", "Caring", "Clinical Trials", "Cognition", "Cognitive", "Combined Modality Therapy", "Consensus", "Data", "Development", "Educational Intervention", "Educational Materials", "Effectiveness", "Elderly", "Event", "Exclusion Criteria", "Exercise", "Face", "Fatigue", "Future", "Genetic", "Genotype", "Guidelines", "Health", "Healthcare Systems", "Impaired cognition", "Impairment", "Infection", "Intervention", "Long COVID", "Measurement", "Measures", "Mediator", "Memory", "Memory impairment", "Mental Health", "Minority", "Modeling", "Neurologic", "Neurologic Symptoms", "Neuropsychology", "Occupational", "Outcome", "Outcome Measure", "Participant", "Patients", "Persons", "Phase", "Physical Exercise", "Physical Fitness", "Physical Medicine", "Physical Rehabilitation", "Physiological", "Pilot Projects", "Plasma", "Population", "Provider", "Quality of life", "Randomized", "Randomized Controlled Trials", "Recovery", "Reporting", "Research", "Sampling", "Short-Term Memory", "Signal Transduction", "Single-Blind Study", "Structure", "Supervision", "Symptoms", "Techniques", "Testing", "Time", "Training", "Training Programs", "Treadmill Tests", "VO2max", "Veterans", "Virus", "Vulnerable Populations", "Walking", "Water", "Waxes", "Work", "brain fog", "brain health", "clinically relevant", "cognitive function", "cognitive training", "cohort", "debilitating symptom", "effective intervention", "effective therapy", "effectiveness evaluation", "efficacy evaluation", "executive function", "exercise program", "exercise training", "experience", "improved", "inclusion criteria", "inflammatory marker", "innovation", "long term consequences of COVID-19", "mild cognitive impairment", "multi-component intervention", "multimodality", "pilot trial", "predicting response", "processing speed", "programs", "recruit", "retention rate", "success", "treatment as usual", "treatment response" ], "approved": true } }, { "type": "Grant", "id": "13852", "attributes": { "award_id": "2115637", "title": "WaterMarks: An art/science framework for community-engaged learning around water and water management in an urban area", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "AISL" ], "program_reference_codes": [], "program_officials": [ { "id": 4115, "first_name": "Ellen", "last_name": "McCallie", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-09-01", "end_date": null, "award_amount": 2818705, "principal_investigator": { "id": 30216, "first_name": "Mary", "last_name": "Miss", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 30216, "first_name": "Mary", "last_name": "Miss", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30217, "first_name": "Donnelley", "last_name": "Hayde", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30218, "first_name": "Woonsup", "last_name": "Choi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 587, "ror": "", "name": "University of Wisconsin-Milwaukee", "address": "", "city": "", "state": "WI", "zip": "", "country": "United States", "approved": true }, "abstract": "Milwaukee has established itself as a leader in water management and technology, hosting a widely recognized cluster of industrial, governmental, nonprofit, and academic activity focused on freshwater. At the same time, Milwaukee faces a wide range of challenges with freshwater, some unique to the region and others common to cities throughout the country. These challenges include vulnerability to flooding and combined sewer overflows after heavy rainfall, biological and pharmaceutical contamination in surface water, lead in drinking water infrastructure, and inequity in access to beaches and other recreational water amenities. As do other cities, Milwaukee grapples with the challenges for urban water imposed by global climate change, including changing patterns of precipitation and drought. These problems are further complicated by Milwaukee’s acute racial and economic residential segregation. With a population of approximately 595,000, embedded within a metropolitan area of over 1.5 million, Milwaukee remains one of the country’s most segregated cities. There is increasing urgency to engage the public—and especially those who are most vulnerable to environmental impacts—more deeply in the stewardship of urban water and in the task of creating sustainable urban futures. The primary goal of this four-year project is to foster community-engaged learning and environmental stewardship by developing a framework that integrates art with Science, Technology, Engineering, and Mathematics (STEM) experiences along with geography, water management, and social science. Synergies between STEM learning and the arts suggest that collaborations among artists, scientists, and communities can open up ways to bring informal learning about the science of sustainability to communities. Project activities include artist/scientist/community member-led Walks, which are designed to engage multi-generational participants both from the neighborhoods and from across the city, in considering the conditions, characteristics, histories, and ecosystems of neighborhoods. Walks are expanded upon in Workshops with local residents, scientists/experts, and other stakeholders, and include exploring current water-related environmental challenges and proposing solutions. The Workshops draw on diverse perspectives, including lived experience, scientific knowledge, and policy expertise. Art Projects created by local artists amplify community engagement with the topics, including programming for teens and young adults. A website, and free Wi-Fi integrated into various Marker sites around the city, encourage users to pursue self-guided learning to explore the water systems and issues facing surrounding neighborhoods. Programming focuses primarily in Milwaukee’s predominantly African American near North Side and the predominantly Latinx/Hispanic near South Side. Many neighborhoods in these sections are vulnerable to such problems as frequent flooding, lead contamination in drinking water, inequities in safety and maintenance of green space, and less access to Lake Michigan, the city’s primary natural resource and recreational amenity.<br/><br/>The WaterMarks project advances informal STEM learning in at least two ways. First, while the WaterMarks project is designed to fit Milwaukee, the project includes development of an adaptable implementation guide. The guide is designed so that other cities can modify and employ its inclusive structure, programming, and process of collaboration among artists, scientists, partner organizations, and residents to promote citywide civic engagement in urban sustainability through the combination of informal STEM learning and public art. Second, through evaluation and research, the project will build a theoretical model for the relationships among science learning, engagement with the arts, and the distinctive contexts of different neighborhoods within an urban social-ecological system. Evaluation foci include: How does the implementation of WaterMarks support positive outcomes for the project’s communities and the development of an adaptable model for city-scale informal science learning about urban environments? 2. To what extent do the type and degree of outcome-related change experienced by participating community residents vary across and/or between project sites? What factors, if any, appear to be linked to these changes? 3. To what extent and in what ways do the activities of the WaterMarks projects appear to have in situ effects related to the experience of place at project sites? The project’s research questions include: 1. How does participation in Walks focused on visual artistic activities affect outcomes and experiences of informal STEM learning about urban water systems? 2. How do outcomes and experiences of informal STEM learning vary across different urban water topics, participants from different demographic groups, and contrasting sociocultural and biophysical contexts?<br/><br/>This Innovations in Development project is led by the University of Wisconsin-Milwaukee (UWM), in collaboration with City as Living Laboratory (CALL) and the COSI Center for Research and Evaluation. The project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to (a) advance new approaches to and evidence-based understanding of the design and development of STEM learning in informal environments; (b) provide multiple pathways for broadening access to and engagement in STEM learning experiences; (c) advance innovative research on and assessment of STEM learning in informal environments; and (d) engage the public of all ages in learning STEM in informal environments.<br/><br/>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.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "9069", "attributes": { "award_id": "3UM1AI069419-14S1", "title": "WCM-Rutgers NJMS CTU Supplement for COVID Testing", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [ { "id": 24868, "first_name": "Teri L.", "last_name": "Greenfield", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-06-16", "end_date": "2021-11-30", "award_amount": 300000, "principal_investigator": { "id": 24869, "first_name": "ROY M.", "last_name": "GULICK", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 825, "ror": "", "name": "WEILL MEDICAL COLL OF CORNELL UNIV", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 825, "ror": "", "name": "WEILL MEDICAL COLL OF CORNELL UNIV", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "The Rutgers New Jersey Medical School (NJMS) Clinical Research Site (CRS) 31786 is requesting $300,000 in funding to help support Severe Acute Respiratory Distress Syndrome Coronavirus-2 (SARS-CoV-2) testing. The CRS is part of the Weill Cornell-Rutgers NJMS Clinical Trials Unit and has been a site for two Division of AIDS (DAIDS) funded clinical trials networks: AIDS Clinical Trials Group (ACTG) and HIV Prevention Trials Network (HPTN) for fifteen years. The program plans to provide SARS-CoV-2 testing by leveraging its existing relationships with the local community and partnering with the clinical laboratory located at Public Health Research Institute (PHRI), also a Rutgers facility to perform SARS-CoV-2 testing using the Cepheid testing platform. The Cepheid COVID-19 testing platform has been developed at PHRI with Cepheid and is one of the most sensitive tests currently available to detect SARS-Co-V 2 infection. We will provide SARS-CoV-2 testing at the CRS, in an adjacent building and on a mobile van. These testing locations are well-known and easily accessible to the community, healthcare workers and other high-risk groups. We will also attempt to ensure that special populations such as minorities and the LGBTQ community have access to the test. Finally, this will help the CRS further strengthen its relationship with the community and allow the unit to provide an essential service to this hard-hit community. If funded, this project will allow us to rapidly increase the availability of SARS CoV-2 testing and help contribute to the urgent need for additional COVID testing in an underserved community located near the epicenter of the COVID-19 pandemic in the United States.", "keywords": [ "AIDS clinical trial group", "Acquired Immunodeficiency Syndrome", "Address", "Administrative Supplement", "Adult Respiratory Distress Syndrome", "Affect", "Area", "COVID-19", "COVID-19 pandemic", "Clinical", "Clinical Trials", "Clinical Trials Network", "Clinical Trials Unit", "Communities", "Community Healthcare", "Coronavirus", "Enrollment", "Ensure", "Funding", "Future", "HIV prevention trials network", "Health Personnel", "Individual", "Infection", "Laboratories", "Lesbian Gay Bisexual Transgender Queer", "Location", "Minority", "New Jersey", "Research Institute", "Services", "Severe Acute Respiratory Syndrome", "Site", "Testing", "United States", "Work", "clinical research site", "cohort", "coronavirus disease", "high risk population", "infection rate", "interest", "medical schools", "named group", "pandemic disease", "programs", "public health research" ], "approved": true } }, { "type": "Grant", "id": "5124", "attributes": { "award_id": "NNX10AR42G", "title": "We propose a set of two 19 arcmin offset observations for the galaxy group MKW 4 to measure spatially resolved density, temperature and iron abundance out to 1''500, These measurements are crucial for an accurate determination of the gas mass profile and", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2011-01-01", "end_date": "2012-12-31", "award_amount": 0, "principal_investigator": { "id": 18257, "first_name": "DAVID", "last_name": "BUOTE", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1407, "ror": "", "name": "REGENTS OF THE UNIVERSITY OF CALIFORNIA THE (6406)", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": null, "abstract": "We propose a set of two 19 arcmin offset observations for the galaxy group MKW 4 to measure spatially resolved density, temperature and iron abundance out to 1''500, These measurements are crucial for an accurate determination of the gas mass profile and", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5006", "attributes": { "award_id": "NNX10AK05G", "title": "We request support from NASA for the overlapping open science meetings/conferences of the Global Land Project (GLP) and the Urbanization and Global Environment Change (UGEC) project to be held October 15-19, 20 I 0, on the campus of Arizona State Universi", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2010-03-04", "end_date": "2012-02-17", "award_amount": 0, "principal_investigator": { "id": 17954, "first_name": "BILLIE", "last_name": "TURNER", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "We request support from NASA for the overlapping open science meetings/conferences of the Global Land Project (GLP) and the Urbanization and Global Environment Change (UGEC) project to be held October 15-19, 20 I 0, on the campus of Arizona State Universi", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10422", "attributes": { "award_id": "1R01AG070949-01A1", "title": "Weather extremes, natural disasters, and health outcomes among vulnerable older adults: New improvements on exposure assessment, disparity identification, and risk communication strategies", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Aging (NIA)" ], "program_reference_codes": [], "program_officials": [ { "id": 26416, "first_name": "EMERALD THAI HAN", "last_name": "Nguyen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-30", "end_date": "2026-06-30", "award_amount": 388608, "principal_investigator": { "id": 26417, "first_name": "Shao", "last_name": "Lin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1930, "ror": "", "name": "STATE UNIVERSITY OF NEW YORK AT ALBANY", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "/ ABSTRACT In recent decades, climate change has contributed to more frequent and extreme weather-related disasters (EWRD), such as heatwaves, floods, hurricanes, storms and power outage (PO). The impact of these EWRDs on human health has become a top public health priority. Research suggests that older adults, especially those with low socioeconomic status (SES) and minority populations, are disproportionately vulnerable to disaster hazards due to lack of access to the necessary resources for hazard mitigation or adaptation. What is now needed is a much more comprehensive way to effectively address these disparities, by considering social and contextual influences on both exposure and health responses to EWRDs. Currently, significant gaps remain in our understanding of how all meteorological factors jointly affect health, and how health effects may differ during transitional seasons. Major limitations on exposure assessment capacity, based on existing limited monitoring sites in each state (particularly in rural areas), are also apparent. In addition, few large studies have attempted to assess how the EWRDs-health may be modified by community and social contexts (e.g., greenness) in ways that produce health disparities. To fill these gaps, the proposed study will test a central hypothesis that vulnerable aging populations are particularly susceptible to the adverse health effects of extreme weather or EWRDs. Specifically, we propose to: 1) Improve exposure assessment by generating high-resolution gridded weather data; 2) Evaluate joint effects of multiple weather factors and disasters on cardio-respiratory diseases, Alzheimer/dementia, injuries, and renal diseases in vulnerable older adults, as well as the modifying effects of regional greenness and pandemic; and 3) Assess the impact of multiple community contextual factors in affecting health during EWRDs by developing predictive models and vulnerability/resilience indices. Results will serve as the basis for the development of effective communication strategies. HrGWD and weather simulations will be created using a state-of-the-art, two-stage downscaling models based on unique Mesonet data. In addition to utilizing NYS hospitalization and ED data, we will retrospectively follow-up readmission and other critical care indicators in a unique 18-year dynamic cohort in NYS, while also evaluating US COVID-19 infection/death rates after major EWRDs. We will use distributed lag non-linear models and interrupted time-series analysis to evaluate the impacts of emergent EWRDs on the most common and fatal diseases among the aging population. While causal influence analysis will be used to estimate the mediation effects from greenness and community factors, a predictive model selected from over 300 factors at the community level will be developed to identify vulnerability/resilience factors using machine-learning algorithms. Our multi-disciplinary and experienced research team, access to numerous geocoded datasets, innovative data mining/analysis methods, culturally appropriate communication materials planned for vulnerable older adults, and successful prior partnerships with government agencies maximize the feasibility of this project and our probability of success.", "keywords": [ "Accidental Injury", "Address", "Adverse effects", "Affect", "Aging", "Alzheimer&apos", "s Disease", "Behavior", "COVID-19 pandemic", "Cardiovascular Diseases", "Cessation of life", "Chronic Obstructive Pulmonary Disease", "Communication", "Communities", "Critical Care", "Data", "Data Science", "Data Set", "Death Rate", "Dementia", "Development", "Disasters", "Disease", "Elderly", "Environment", "Environmental Health", "Environmental Risk Factor", "Environmental Wind", "Ethics", "Event", "Exposure to", "Face", "Floods", "Government Agencies", "Grant", "Health", "Heat Waves", "Hospitalization", "Human", "Hurricane", "Ice", "Individual", "Injury", "Interruption", "Intervention", "Joints", "Kidney Diseases", "Maps", "Mediation", "Meteorological Factors", "Methodology", "Methods", "Minority", "Minority Groups", "Modeling", "Monitor", "Morbidity - disease rate", "Natural Disasters", "Non-linear Models", "Outcome", "Population", "Population Heterogeneity", "Positioning Attribute", "Precipitation", "Probability", "Radiation", "Readiness", "Recording of previous events", "Research", "Research Personnel", "Resolution", "Resources", "Respiratory Disease", "Risk", "Risk Factors", "SARS-CoV-2 infection", "Seasons", "Site", "Social Environment", "Socioeconomic Status", "Techniques", "Testing", "The Sun", "Time Series Analysis", "Vulnerable Populations", "Weather", "Wildfire", "Work", "aging population", "base", "climate change", "cohort", "community-level factor", "contextual factors", "data mining", "deep learning", "ethnic diversity", "evidence base", "experience", "extreme heat", "extreme weather", "follow-up", "hazard", "health disparity", "hospital readmission", "improved", "indexing", "innovation", "low socioeconomic status", "machine learning algorithm", "member", "meteorological data", "mortality", "multidisciplinary", "pandemic disease", "predictive modeling", "programs", "public health priorities", "racial diversity", "remote sensing", "resilience", "response", "rural area", "simulation", "social", "social factors", "spelling", "success", "vulnerable community", "weather-related disaster", "web site" ], "approved": true } }, { "type": "Grant", "id": "11795", "attributes": { "award_id": "5R01AG070949-02", "title": "Weather extremes, natural disasters, and health outcomes among vulnerable older adults: New improvements on exposure assessment, disparity identification, and risk communication strategies", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Aging (NIA)" ], "program_reference_codes": [], "program_officials": [ { "id": 26416, "first_name": "EMERALD THAI HAN", "last_name": "Nguyen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-30", "end_date": "2026-06-30", "award_amount": 389043, "principal_investigator": { "id": 26417, "first_name": "Shao", "last_name": "Lin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1930, "ror": "", "name": "STATE UNIVERSITY OF NEW YORK AT ALBANY", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "/ ABSTRACT In recent decades, climate change has contributed to more frequent and extreme weather-related disasters (EWRD), such as heatwaves, floods, hurricanes, storms and power outage (PO). The impact of these EWRDs on human health has become a top public health priority. Research suggests that older adults, especially those with low socioeconomic status (SES) and minority populations, are disproportionately vulnerable to disaster hazards due to lack of access to the necessary resources for hazard mitigation or adaptation. What is now needed is a much more comprehensive way to effectively address these disparities, by considering social and contextual influences on both exposure and health responses to EWRDs. Currently, significant gaps remain in our understanding of how all meteorological factors jointly affect health, and how health effects may differ during transitional seasons. Major limitations on exposure assessment capacity, based on existing limited monitoring sites in each state (particularly in rural areas), are also apparent. In addition, few large studies have attempted to assess how the EWRDs-health may be modified by community and social contexts (e.g., greenness) in ways that produce health disparities. To fill these gaps, the proposed study will test a central hypothesis that vulnerable aging populations are particularly susceptible to the adverse health effects of extreme weather or EWRDs. Specifically, we propose to: 1) Improve exposure assessment by generating high-resolution gridded weather data; 2) Evaluate joint effects of multiple weather factors and disasters on cardio-respiratory diseases, Alzheimer/dementia, injuries, and renal diseases in vulnerable older adults, as well as the modifying effects of regional greenness and pandemic; and 3) Assess the impact of multiple community contextual factors in affecting health during EWRDs by developing predictive models and vulnerability/resilience indices. Results will serve as the basis for the development of effective communication strategies. HrGWD and weather simulations will be created using a state-of-the-art, two-stage downscaling models based on unique Mesonet data. In addition to utilizing NYS hospitalization and ED data, we will retrospectively follow-up readmission and other critical care indicators in a unique 18-year dynamic cohort in NYS, while also evaluating US COVID-19 infection/death rates after major EWRDs. We will use distributed lag non-linear models and interrupted time-series analysis to evaluate the impacts of emergent EWRDs on the most common and fatal diseases among the aging population. While causal influence analysis will be used to estimate the mediation effects from greenness and community factors, a predictive model selected from over 300 factors at the community level will be developed to identify vulnerability/resilience factors using machine-learning algorithms. Our multi-disciplinary and experienced research team, access to numerous geocoded datasets, innovative data mining/analysis methods, culturally appropriate communication materials planned for vulnerable older adults, and successful prior partnerships with government agencies maximize the feasibility of this project and our probability of success.", "keywords": [ "Accidental Injury", "Address", "Adverse effects", "Affect", "Aging", "Alzheimer&apos", "s Disease", "Behavior", "COVID-19 pandemic", "Cardiovascular Diseases", "Cessation of life", "Chronic Obstructive Pulmonary Disease", "Communication", "Communities", "Critical Care", "Data", "Data Science", "Data Set", "Death Rate", "Dementia", "Development", "Disasters", "Disease", "Disparity", "Elderly", "Environment", "Environmental Risk Factor", "Environmental Wind", "Ethics", "Event", "Exposure to", "Face", "Floods", "Government Agencies", "Grant", "Health", "Heat Waves", "Hospitalization", "Human", "Hurricane", "Ice", "Individual", "Injury", "Interruption", "Intervention", "Joints", "Kidney Diseases", "Maps", "Mediation", "Meteorological Factors", "Methodology", "Methods", "Minority", "Minority Groups", "Modeling", "Monitor", "Morbidity - disease rate", "Natural Disasters", "Non-linear Models", "Outcome", "Population", "Population Heterogeneity", "Positioning Attribute", "Precipitation", "Predisposition", "Probability", "Radiation", "Readiness", "Recording of previous events", "Research", "Research Personnel", "Resolution", "Resources", "Respiratory Disease", "Risk", "Risk Factors", "SARS-CoV-2 infection", "Seasons", "Site", "Social Environment", "Socioeconomic Status", "Techniques", "Testing", "Time Series Analysis", "Vulnerable Populations", "Weather", "Wildfire", "Work", "aging population", "climate change", "cohort", "community setting", "community-level factor", "contextual factors", "data integration", "data mining", "deep learning", "ethnic diversity", "evidence base", "experience", "extreme heat", "extreme weather", "follow-up", "hazard", "health assessment", "health data", "health disparity", "hospital readmission", "improved", "indexing", "innovation", "low socioeconomic status", "machine learning algorithm", "member", "meteorological data", "mortality", "multidisciplinary", "pandemic disease", "predictive modeling", "programs", "public health priorities", "racial diversity", "remote sensing", "resilience", "response", "risk prediction model", "rural area", "simulation", "social", "social factors", "spelling", "success", "vulnerable community", "weather-related disaster", "web site" ], "approved": true } }, { "type": "Grant", "id": "13847", "attributes": { "award_id": "2117322", "title": "Weaving Indigenous Identity, Cultural Values, and Environmental Science Together for Sustainable Tribal Land Management and Resource Career Pathways", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Directorate for STEM Education (EDU)", "AISL" ], "program_reference_codes": [], "program_officials": [ { "id": 1279, "first_name": "Toni", "last_name": "Dancstep", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-09-01", "end_date": null, "award_amount": 630243, "principal_investigator": { "id": 30209, "first_name": "Karla", "last_name": "Eitel", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 30209, "first_name": "Karla", "last_name": "Eitel", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30210, "first_name": "Jeff", "last_name": "Parker", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 30211, "first_name": "Josiah B", "last_name": "Pinkham", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2360, "ror": "", "name": "Nez Perce Tribe", "address": "", "city": "", "state": "ID", "zip": "", "country": "United States", "approved": true }, "abstract": "This innovations in development project will develop and study the Wéetespeme Stewardship Program (Wéetespeme: “I am of this land”). Tribal led, the project supports and studies climate science learning experiences grounded in traditional ecological knowledge, culturally relevant pedagogy, and land education pedagogy. Nez Perce high-school youth and college-age adults will choose specific species and places; work with tribal resource management offices to learn to monitor, assess, and mitigate climate impacts; and receive mentorship from tribal elders, as they co-develop climate-science adaptive management plans for local concerns. Adaptive management plans may include topics such as: drought and extreme weather impacts, shifts in animal populations and migration patterns, cultivating traditional foods, and managing important cultural sites. The Tribal research team will collaborate with curriculum developers and Indigenous graduate student(s) from the University of Idaho and Northwest Youth Corps to explore how a STEM curriculum centered on cultural identity and traditional knowledge can align with Indigenous youths’ identities, resource responsibilities, and understanding and interest in STEM career pathways within the Tribe and in the region. As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understanding of deeper learning by participants. This project’s approach to curriculum development, and youths’ identity and career interest development, will contribute to the informal STEM learning field’s nascent understanding of Tribal-driven education efforts, and approaches to blending or bridging traditional ecological knowledge and Western ways of knowing. With co-funding from the Directorate of Geosciences’ (GEO), this project will further advance efforts related to the application of traditional ecological knowledge to the geosciences, including Indigenous workforce development opportunities and research experiences for Indigenous graduate students. <br/><br/>Over a two-year duration, the study will address two research questions. 1) How and in what ways does a culturally relevant out-of-school curriculum support Indigenous youths’ understanding of their own identity, resource responsibility, and possible career pathways, including those on Tribal land? 2) How and in what ways does a culturally relevant out-of-school curriculum develop Indigenous youths’ ability to monitor and address climate change impacts, to protect, preserve and recover land relationships that are central to their cultural identities and values? Thirty-two college-age young adults and high-school youth (sixteen of each age group) will participate in the Wéetespeme Stewardship Program and research study. Indigenous research methodologies will guide the approach to investigating and sharing Indigenous youths’ understanding of their own identity, resource responsibility, possible career pathways, and learning experiences within the Wéetespeme Stewardship Program activities. Two Indigenous graduate students will play a central role in conducting the research, supporting systemic impacts within, and beyond, the Tribe. Methods will be embedded in learners’ experiences and will include field journals, adaptive management plans, story maps, and talk circles. Youth will also participate as research partners: understanding the research questions, assisting with the analysis, contributing to interpretation of the findings, and co-authoring manuscripts that share their stories and this work. The informal STEM curriculum will be shared regionally, allowing for Tribes in the plateau region to benefit from culturally relevant approaches youth engagement to support climate resilience. The results of the research will also be shared more broadly, contributing to the emerging knowledge-base about the ways that cultural practices and values, guided by land education pedagogy and the mentorship of traditional ecological knowledge keepers, and embedded in informal STEM learning experiences, can contribute to Indigenous youths’ identities and understanding of, and investment in, local and meaningful environmental resources and STEM career pathways.<br/><br/>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.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5830", "attributes": { "award_id": "3R41MH118126-02S1", "title": "Web Based Therapist Training on Complicated Grief Therapy", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Mental Health (NIMH)" ], "program_reference_codes": [], "program_officials": [ { "id": 20005, "first_name": "Adam", "last_name": "Haim", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-03-01", "end_date": "2021-02-28", "award_amount": 156130, "principal_investigator": { "id": 20006, "first_name": "Kenneth A", "last_name": "Kobak", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 20007, "first_name": "M Katherine KATHERINE", "last_name": "Shear", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1133, "ror": "", "name": "CENTER FOR PSYCHOLOGICAL CONSULTATION", "address": "", "city": "", "state": "WI", "zip": "", "country": "United States", "approved": true }, "abstract": "Current estimates suggest that death rates from Covid-19 will continue to rise and, at the very least, will lead to tens of thousands of deaths. Sadly, the circumstances of these deaths will likely increase the rates of prolonged grief disorder (PGD) well over the estimated 7% of the overall bereaved population. The DSM5 has now joined the ICD-11 in proposing similar diagnostic criteria and in using the name Prolonged Grief Disorder to designate a syndrome characterized by persistent, pervasive and impairing grief. Sudden unexpected death, the need for physical distancing, the high contagiousness of the virus, the widespread unemployment and the ongoing highly stressful context in which these deaths occur are unique characteristics of covid-19 deaths that increase the risk of developing PGD. We developed a short-term, manualized Complicated Grief Treatment (CGT) for this condition and found it efficacious in three large NIMH sponsored randomized controlled trials. In the parent grant, we develop an on-line therapist training in CGT to help disseminate CGT training, a skill now greatly in demand and one not widely possessed. In this administrative supplement we plan add two major features to our parent study in response to the COVID epidemic: 1) development of a patient- facing therapist-assisted web-based form of CGT developed specifically to deal with COVID- related grieving and 2) development of three supplementary therapist training modules: a) special considerations when delivering CGT for covid-related loss, b) how to administer CGT remotely via videoconference and c) how to integrate the patient-facing form of CGT into clinician-guided treatment. A hybrid model using both self-guided therapeutic activities augmented with a therapist guide has been successfully demonstrated in the UK, and has been adopted as best practice for the treatment of depression. Such a model will both 1) enhance the efficacy of treatment, as studies have shown that the more a patient understands the concepts of treatment, the better the treatment outcomes, and 2) will enable the reduction in the number of clinician sessions, both reducing patient costs and freeing clinician time to treat more patients in order to meet the overwhelming demand due to this crisis.", "keywords": [ "Administrative Supplement", "Adopted", "COVID-19", "COVID-19 mortality", "COVID-19 pandemic", "Cessation of life", "Characteristics", "DSM-V", "Death Rate", "Development", "Diagnostic", "Disease", "Distress", "Grief reaction", "Hybrids", "Impairment", "Mental Depression", "Modeling", "Names", "National Institute of Mental Health", "Online Systems", "Parents", "Patients", "Population", "Randomized Controlled Trials", "Risk", "Syndrome", "Therapeutic", "Time", "Training", "Training Activity", "Treatment Efficacy", "Treatment outcome", "Unemployment", "Virus", "coronavirus disease", "coronavirus treatment", "cost", "parent grant", "remote therapy", "response", "skills" ], "approved": true } }, { "type": "Grant", "id": "10383", "attributes": { "award_id": "1K99AG078561-01", "title": "Web-based technology and cognitive training: improving executive control in cognitivelyhealthy older adults", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Aging (NIA)" ], "program_reference_codes": [], "program_officials": [ { "id": 20821, "first_name": "JONATHAN W.", "last_name": "KING", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-01", "end_date": "2024-08-31", "award_amount": 130842, "principal_investigator": { "id": 26361, "first_name": "Sharon", "last_name": "Sanz Simon", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 781, "ror": "", "name": "COLUMBIA UNIVERSITY HEALTH SCIENCES", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "Developing efficient cognitive training for cognitively intact older adults (OA) is a major public health goal, due to its potential for reducing age-related cognitive decline and Alzheimer’s disease/dementia risk. Executive Control (EC) is a relevant training target since it declines with aging and is critical for multi-tasking in daily life. EC training programs for OA have been shown to lead to cognitive improvements, but it remains unclear whether it enhances multi-tasking ability and transfer to different tasks and context, such as everyday life. Most EC training protocols fail to adopt ecological tasks, which limit its clinical relevance and generalization. A promising EC training approach is Emphasis Change (EmCh), which has shown to benefit both younger and OA. Similar approaches have shown training-transfer in OA, suggesting that EmCh may be an appropriate method to induce transfer in OA. To date, EmCh has not been applied in ecological tasks that simulate a daily life situation, nor has it been implemented remotely through a web-based interface. The web-based training is an advancement since it can be delivered at home and is easily scalable. Recently, remote interventions have been relevant to OA due to the COVID-19 pandemic, which limits in-person research participation. The current proposal seeks to bridge the above gaps by implementing EmCh through the Breakfast Game (B-Game), a web-based ecological training platform that simulates a daily life environment and is feasible in OA. The Aims 1 and 2 (K99 phase) of this proposal will be based on a pilot study with cognitively healthy OA in order to 1) investigate acceptability/usability and structure of a 12-session training protocol based on web B-Game, and 2) the effects of EmCh approach, in comparison to a control intervention. The K99 phase will provide pilot data regarding several intervention features and outcomes. These data will be critical to optimize the design for the randomized controlled clinical trial I plan to conduct in the R00 phase (Aim 3), in order to evaluate the efficacy of EmCh/B-Game in OA. The R00 trial will be enriched by Alzheimer`s disease blood-based biomarkers, which will improve diagnostic accuracy and allow me to explore intervention response as a function of pathology. To accomplish these aims, I will develop advanced skills to supplement my training in neuropsychology, as I will: 1) enrich my conceptual understanding of cognitive aging/EC; 2) broaden my knowledge of cognitive training, and its integration with technology and teleneuropsychology; 3) develop expertise in clinical trials; and 4) gain skills in statistical analysis. Additionally, I will 5) enrich my knowledge on Alzheimer`s pathology and 6) gain skills in designing fMRI experiments, relevant aims for my independence as a future trialist focused on aging. I have assembled an excellent and well-rounded mentorship team with expertise in cognitive aging, EC/EmCh, clinical trials, technological interventions, teleneuropsychology, and biomarkers. Overall, this K99/R00 proposal lays the foundation for an independent research career focused on technology-based intervention for OA, in order to reduce age-related cognitive decline and promote Alzheimer’s disease / dementia prevention.", "keywords": [ "3-Dimensional", "Adherence", "Adopted", "Age", "Age-associated memory impairment", "Aging", "Alzheimer&apos", "s Disease", "Alzheimer&apos", "s disease pathology", "Alzheimer&apos", "s disease risk", "Alzheimer’s disease biomarker", "Attention", "Biological Markers", "COVID-19 pandemic", "Clinical", "Clinical Trials", "Cognitive", "Cognitive aging", "Complex", "Computers", "Control Groups", "Data", "Dementia", "Dose", "E-learning", "Education", "Elderly", "Environment", "Ethnic Origin", "Food", "Foundations", "Functional Magnetic Resonance Imaging", "Future", "Gender", "Gophers", "Home", "Individual", "Instruction", "Internet", "Intervention", "Intervention Studies", "Knowledge", "Life", "Maintenance", "Mentors", "Mentorship", "Methodology", "Methods", "Motor", "Nature", "Neuropsychology", "Online Systems", "Outcome", "Outcome Measure", "Participant", "Pathology", "Performance", "Persons", "Phase", "Pilot Projects", "Play", "Population Heterogeneity", "Prevention", "Protocols documentation", "Psychological Transfer", "Public Health", "Questionnaires", "Race", "Randomized", "Randomized Controlled Clinical Trials", "Research", "Statistical Data Interpretation", "Structure", "Supervision", "Task Performances", "Technology", "Training", "Training Programs", "Translating", "Video Games", "active control", "age related", "base", "blood-based biomarker", "career", "clinically relevant", "cognitive performance", "cognitive training", "cooking", "cost effective", "dementia risk", "demographics", "design", "diagnostic accuracy", "efficacy evaluation", "executive function", "experimental study", "flexibility", "health goals", "high risk", "improved", "multitask", "post intervention", "randomized controlled design", "remote intervention", "response", "sex", "skills", "statistics", "technology training", "teleneuropsychology", "usability", "web based interface", "young adult" ], "approved": true } } ], "meta": { "pagination": { "page": 1392, "pages": 1405, "count": 14046 } } }