Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1383&sort=-abstract
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-abstract", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=-abstract", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1384&sort=-abstract", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1382&sort=-abstract" }, "data": [ { "type": "Grant", "id": "14919", "attributes": { "award_id": "5R21MD019396-02", "title": "A Multi-site Investigation of Social Determinants of Health and SARS-CoV-2 Testing and Vaccination Outcomes among Diverse US Latinx Adults", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Minority Health and Health Disparities (NIMHD)" ], "program_reference_codes": [], "program_officials": [ { "id": 6121, "first_name": "Priscah", "last_name": "Mujuru", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-09-21", "end_date": "2025-06-30", "award_amount": 223500, "principal_investigator": { "id": 28187, "first_name": "Elizabeth L", "last_name": "Budd", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 28188, "first_name": "Stephanie", "last_name": "De Anda", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1156, "ror": "https://ror.org/0293rh119", "name": "University of Oregon", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true }, "abstract": "7. Project Summary Latinxs comprise a large and growing population in the US, but are typically underrepresented in study samples, limiting statistical comparisons to only other racial or ethnic groups.1 Inadequate access to large, diverse samples of Latinxs in public health research has led to treating Latinxs as a monolith, despite known and important within-group differences.1–5 These conditions have led to inadequately tailored disease prevention and control strategies1 and allowed for the persistence of health inequities such as those experienced among Latinxs before and throughout the COVID-19 pandemic compared to non-Latinx Whites8– 12,14 and even to all other racial-ethnic-sex groups.13,92 Yearby's revised Social Determinants of Health (SDOH) Framework explains that structural discrimination (e.g., racism, ethnocentrism, and sexism) is the underlying cause of the inequitable distributions of economic, healthcare access, educational, social, and environmental SDOH across populations, which ultimately results in disproportionate disease burden.19 Individuals hold multiple identities (e.g., ethnic, racial, country of origin, gender, age, language) that interact with structural discrimination in distinct ways,22–24 but how these identities interact with SDOH and SARS-CoV-2 testing and vaccination outcomes within Latinxs is unknown. The present proposal harnesses Latinx-identifying participant data (N = 31,372) from 10 purposively selected, geographically diverse Rapid Acceleration of Diagnostics for Underserved Populations (RADx-UP) projects to overcome the limitations in prior research. Specifically, using pooled Tier 1 common data elements for Aim 1, we will identify the relative importance of economic, healthcare access, educational, and environmental SDOH on SARS-CoV-2 testing (e.g., engagement in testing, testing access) and vaccination (e.g., vaccination status, reasons to/to not get vaccinated) outcomes within a large, robust individual person data meta-analysis of Latinx US adults. Using the same Tier 1 data for Aim 2, we will investigate how the Aim 1 model varies by race, country of origin, gender, age, and language. Finally, for Aim 3, we will use Tier 2 data and employ scale equating data harmonization techniques to examine additional identity-related moderators (e.g., immigration status), SDOH (e.g., racial discrimination, food insecurity), and more robust measures of testing and vaccination outcomes that advance the Aim 1 and 2 models; and evaluate the degree to which the findings generalize to the national Latinx population. Study findings will advance the empirical knowledge base necessary to design precise, culturally tailored prevention and control strategies within Latinxs to reduce health inequities in COVID-19 and beyond.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "12290", "attributes": { "award_id": "1R21MD019396-01", "title": "A Multi-site Investigation of Social Determinants of Health and SARS-CoV-2 Testing and Vaccination Outcomes among Diverse US Latinx Adults", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 6121, "first_name": "Priscah", "last_name": "Mujuru", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2023-09-21", "end_date": "2025-06-30", "award_amount": 184375, "principal_investigator": { "id": 28187, "first_name": "Elizabeth L", "last_name": "Budd", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 28188, "first_name": "Stephanie", "last_name": "De Anda", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1156, "ror": "https://ror.org/0293rh119", "name": "University of Oregon", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true }, "abstract": "7. Project Summary Latinxs comprise a large and growing population in the US, but are typically underrepresented in study samples, limiting statistical comparisons to only other racial or ethnic groups.1 Inadequate access to large, diverse samples of Latinxs in public health research has led to treating Latinxs as a monolith, despite known and important within-group differences.1–5 These conditions have led to inadequately tailored disease prevention and control strategies1 and allowed for the persistence of health inequities such as those experienced among Latinxs before and throughout the COVID-19 pandemic compared to non-Latinx Whites8– 12,14 and even to all other racial-ethnic-sex groups.13,92 Yearby's revised Social Determinants of Health (SDOH) Framework explains that structural discrimination (e.g., racism, ethnocentrism, and sexism) is the underlying cause of the inequitable distributions of economic, healthcare access, educational, social, and environmental SDOH across populations, which ultimately results in disproportionate disease burden.19 Individuals hold multiple identities (e.g., ethnic, racial, country of origin, gender, age, language) that interact with structural discrimination in distinct ways,22–24 but how these identities interact with SDOH and SARS-CoV-2 testing and vaccination outcomes within Latinxs is unknown. The present proposal harnesses Latinx-identifying participant data (N = 31,372) from 10 purposively selected, geographically diverse Rapid Acceleration of Diagnostics for Underserved Populations (RADx-UP) projects to overcome the limitations in prior research. Specifically, using pooled Tier 1 common data elements for Aim 1, we will identify the relative importance of economic, healthcare access, educational, and environmental SDOH on SARS-CoV-2 testing (e.g., engagement in testing, testing access) and vaccination (e.g., vaccination status, reasons to/to not get vaccinated) outcomes within a large, robust individual person data meta-analysis of Latinx US adults. Using the same Tier 1 data for Aim 2, we will investigate how the Aim 1 model varies by race, country of origin, gender, age, and language. Finally, for Aim 3, we will use Tier 2 data and employ scale equating data harmonization techniques to examine additional identity-related moderators (e.g., immigration status), SDOH (e.g., racial discrimination, food insecurity), and more robust measures of testing and vaccination outcomes that advance the Aim 1 and 2 models; and evaluate the degree to which the findings generalize to the national Latinx population. Study findings will advance the empirical knowledge base necessary to design precise, culturally tailored prevention and control strategies within Latinxs to reduce health inequities in COVID-19 and beyond.", "keywords": [ "Address", "Adult", "Age", "Behavior", "COVID-19", "COVID-19 pandemic", "COVID-19 testing", "Common Data Element", "Communities", "Country", "Data", "Discrimination", "Disease", "Economics", "Education", "Equation", "Ethnic Origin", "Ethnic Population", "Gender", "Geography", "Heterogeneity", "Hispanic", "Hospitalization", "Household", "Housing", "Immigration", "Income", "Individual", "Inequity", "Influenza vaccination", "Investigation", "Knowledge", "Language", "Latina", "Latino", "Latinx", "Latinx population", "Lead", "Literature", "Measures", "Medicaid", "Meta-Analysis", "Metadata", "Methods", "Mexico", "Modeling", "Non-Insulin-Dependent Diabetes Mellitus", "Oregon", "Outcome", "Participant", "Persons", "Phase", "Population", "Prevention", "Preventive", "Preventive service", "RADx Underserved Populations", "Race", "Reporting", "Research", "Research Personnel", "SARS-CoV-2 positive", "Sampling", "Sampling Studies", "Sexism", "Site", "Standardization", "Subgroup", "Techniques", "Testing", "United States National Institutes of Health", "Vaccinated", "Vaccination", "barrier to testing", "burden of illness", "data harmonization", "design", "disorder control", "disorder prevention", "experience", "food insecurity", "health care availability", "health disparity", "health equity promotion", "health inequalities", "inequitable distribution", "innovation", "knowledge base", "mortality", "pandemic disease", "public health research", "racial discrimination", "racial population", "racism", "residence", "sex", "social", "social health determinants", "systemic barrier", "testing access", "theories", "uptake", "vaccination outcome" ], "approved": true } }, { "type": "Grant", "id": "15818", "attributes": { "award_id": "1U54HD121579-01", "title": "Project 3- Access Study", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2025-09-15", "end_date": "2030-08-31", "award_amount": 204764, "principal_investigator": { "id": 44226, "first_name": "Kimberly Ann", "last_name": "Chapman", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2610, "ror": "", "name": "BAYLOR COLLEGE OF MEDICINE", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "7. ABSTRACT – PROJECT 3 (TELEHEALTH VS VIRTUAL VISITS IN ORGANIC ACIDEMIAS) In a recent survey from the National Organization for Rare Disorders (NORD), nearly 40% of patients/caregivers with rare disorders reported traveling more than 60 miles for medical care. The same survey also found that 70% of respondents would like the option of telehealth for medical appointments and that during the SARS-CoV-2 pandemic, 88% of those offered a video appointment accepted. Of those accepting a video visit, 92% said it was a positive experience. In addition to the access to care issues, the NORD survey also found that 62% of patients with rare diseases were not able to attend work due to their appointments, and that 26% of children missed school regularly for appointments. Consequently, NORD is strongly advocating robust access to telehealth services for patients with rare diseases. Access to care for rare organic acidemias is an even greater challenge. In a recent survey by the Organic Acidemia Association and Propionic Acidemia Foundation, access to care was a top concern for individuals and families. According to the American Board of Medical Genetics and Genomics website, ten US states have no provider certified in either clinical or medical biochemical genetics demonstrating a significant gap in access to local specialists with expertise in organic acidemias. Although telemedicine has been shown to be effective for genetic counseling and genetic patient evaluations, care for individuals with organic acidemias involves more than counseling and diagnosis. Treatment for organic acidemias is complex requiring a combination of low protein diets, medications/supplements, strict adherence to treatment regimens, and the implementation of sick-day protocols in collaboration with the healthcare team. Frequent monitoring of growth, nutrition, and laboratory values and ongoing education are critical to successfully managing organic acidemias. We hypothesize that telehealth is one strategy for increasing access to high-quality care for organic acidemias. To test this hypothesis, we will perform the first large, multi-center study evaluating the efficacy of telehealth for organic acidemias with the following aims: 1) Assess whether virtual clinic visits are equivalent to in-person visits at achieving treatment goals, 2) Compare attendance at clinic visits and knowledge of treatment regimens for those receiving care at virtual and in-person visits, and 3) Assess patient and parent satisfaction and patient-care team relationships with virtual clinic visits compared to in-person visits. Overall, this multi-center, longitudinal study of virtual vs. in-person medical visits will demonstrate whether virtual visits are effective at providing high quality care for individuals with these disorders. As virtual visits may be a strategy for increasing access to clinical trials and meeting enrollment goals in trials for organic acidemias, the results of this study are important for both clinical trial readiness and improving patient access to quality care.", "keywords": [ "Acute", "Adherence", "Advocate", "American", "Appointment", "Area", "Biochemical", "Biochemical Genetics", "COVID-19 pandemic", "Caregivers", "Caring", "Certification", "Child", "Client satisfaction", "Clinic Visits", "Clinical", "Clinical Trials", "Collaborations", "Collection", "Complex", "Counseling", "Diagnosis", "Diet", "Disease", "Education", "Emergency department visit", "Enrollment", "Evaluation", "Event", "Family", "Foundations", "Genetic", "Genetic Counseling", "Genomics", "Goals", "Growth", "Health Services", "Health Services Accessibility", "Hospitalization", "Illness Days", "Improve Access", "Inborn Errors of Metabolism", "Individual", "Knowledge", "Laboratories", "Logistics", "Longitudinal Studies", "Measures", "Medical", "Medical Care Team", "Medical Genetics", "Metabolic", "Monitor", "Multicenter Studies", "Nutrition", "Outcome", "Outcome Assessment", "Outpatients", "Parents", "Participant", "Patient Care Team", "Patients", "Persons", "Pharmaceutical Preparations", "Protein-Restricted Diet", "Protocols documentation", "Provider", "Quality of Care", "Randomized", "Rare Diseases", "Regimen", "Reporting", "Research", "Respondent", "Schools", "Specialist", "Structure", "Surveys", "Telemedicine", "Testing", "Travel", "Treatment Protocols", "US State", "Visit", "Work", "acute care", "care providers", "clinical trial readiness", "dietary", "efficacy evaluation", "experience", "gaps in access", "genetics clinic", "improved", "improved outcome", "ketotic hyperglycinemia", "medical appointment", "meetings", "metropolitan", "patient advocacy group", "satisfaction", "telehealth", "therapeutically effective", "video visit", "virtual", "virtual visit", "web site" ], "approved": true } }, { "type": "Grant", "id": "13372", "attributes": { "award_id": "2138898", "title": "ERI: An Adaptive Incremental Deep Learning Architecture for Real-Time Inference of RF Signals in Dynamic Spectrum Sharing Environments", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "ERI-Eng. Research Initiation" ], "program_reference_codes": [], "program_officials": [ { "id": 27281, "first_name": "Anthony", "last_name": "Kuh", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-02-01", "end_date": null, "award_amount": 199902, "principal_investigator": { "id": 29457, "first_name": "Ruolin", "last_name": "Zhou", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2116, "ror": "", "name": "University of Massachusetts, Dartmouth", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "5G and beyond, the next generation of wireless communication technology, will provide higher capacity, faster speeds, and world-wide connectivity, transforming the way we live, work, learn and entertain. The development of 5G alone impacts our economy and workforce by contributing $1.4 to $1.7 trillion to US gross domestic product over the next decade and create 4.6 million 5G-related jobs through 2034. The dramatic growth and ever-increasing functionality and performance of wireless devices has crowed the electromagnetic spectrum. Dynamic spectrum sharing in 5G and beyond can meet the demands of scarce spectrum, unprecedented traffic, and better quality of service. For example, unlicensed and license-aided bands, such as 2.4 - 5 GHz industrial, scientific and medical bands, 6 GHz radio frequency bands, 60 GHz millimeter wave bands, are being shared for commercial and scientific use. However, dynamically sharing spectrum poses additional challenges to share autonomously, reliably, and securely among civilian, government, and defense. Therefore, learning surrounding wireless signals is essential to support wireless user coexistence over shared spectrum. This project focuses on developing an adaptive incremental deep learning architecture to infer radio frequency signals in dynamic spectrum sharing environments in real time. The proposed research will provide recommendations to Institute of Electrical and Electronics Engineers (IEEE) Standard P1900.8 on criteria for evaluating the performance of machine learned spectrum awareness models. The integration of research and education activities and outreach activities will broaden participation of underrepresented groups in science, technology, engineering, and mathematics fields and benefit local community collaborations through service learning-based curriculum development.<br/><br/>The goal of this project is to develop an incremental deep learning architecture for adaptively and efficiently detecting, classifying, and demodulating radio frequency signals in dynamic spectrum sharing environments in real time with online learning capabilities. The proposed incremental deep-learning architecture will (1) adaptively learn a wide range of wireless communication scenarios, starting from a small dataset with limited known signals or scenarios and then incrementally learning new signals or scenarios as well as updating the deep learning network in an online manner without interruption to re-train the whole network and a man-in-the-middle to label the signal; (2) advance self-learning the spectrum including spectrum sensing, signal classification and radio frequency parameter characterization in real-time; and (3) improve deep learning-based signal demodulation with the adaptive incremental learning, which can replace conventional block-based demodulation processes and preserve the same performance with high flexibility.<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": "6578", "attributes": { "award_id": "3R33AG057395-05S1", "title": "Application of Economics & Social psychology to improve Opioid Prescribing Safety (AESOPS) Trial", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 22033, "first_name": "PARTHA", "last_name": "BHATTACHARYYA", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2017-09-15", "end_date": "2022-08-31", "award_amount": 622940, "principal_investigator": { "id": 22034, "first_name": "JASON N.", "last_name": "DOCTOR", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 22035, "first_name": "MARK D", "last_name": "SULLIVAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "3URJUDP 'LUHFWRU 3ULQFLSDO ,QYHVWLJDWRU /DVW )LUVW 0LGGOH Doctor, Jason N. 8VH RQO\\ LI DGGLWLRQDO VSDFH LV QHHGHG WR OLVW DGGLWLRQDO SURMHFW SHUIRUPDQFH VLWHV Additional", "keywords": [ "Adherence", "Behavior", "Benzodiazepines", "California", "Caring", "Cessation of life", "Data", "Diagnostic", "Dose", "Economics", "Electronic Health Record", "Event", "Goals", "Guidelines", "Health system", "Illinois", "Malignant Neoplasms", "Opioid", "Overdose", "Patients", "Performance", "Pharmacotherapy", "Phase", "Poisoning", "Qualifying", "Recommendation", "Reporting", "Safety", "Social Psychology", "Suggestion", "Testing", "Text", "Treatment outcome", "Urine", "Visit", "drug testing", "electronic data", "improved", "milligram", "morphine equivalent", "non-opioid analgesic", "opioid use", "peer", "prescription opioid", "social", "tool" ], "approved": true } }, { "type": "Grant", "id": "3942", "attributes": { "award_id": "1727605", "title": "DMREF: Dynamic Control of 3-D Printed Hierarchical Soft Materials via Computation-Guided Molecular Design", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Mathematical and Physical Sciences (MPS)", "DMREF" ], "program_reference_codes": [], "program_officials": [ { "id": 13054, "first_name": "Peter", "last_name": "Anderson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2017-10-01", "end_date": "2021-09-30", "award_amount": 1195230, "principal_investigator": { "id": 13058, "first_name": "Charles", "last_name": "Sing", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 281, "ror": "", "name": "University of Illinois at Urbana-Champaign", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 13055, "first_name": "Damien", "last_name": "Guironnet", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 13056, "first_name": "Ying", "last_name": "Diao", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 13057, "first_name": "Simon A", "last_name": "Rogers", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 281, "ror": "", "name": "University of Illinois at Urbana-Champaign", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "3-D printing enables the rapid creation of precisely shaped items for everyday use, from customizable, engineered items such as vehicle parts and manufacturing prototypes, to patient-specific medical devices like stents and prostheses. Through use of computer programmed instructions, this technology is currently capable of making uniform items with micrometer precision. 3-D printing is already a revolutionary technology, but still cannot create the truly advanced materials found in living systems that adapt and transform upon stimulation by altering structures across length scales. For example, chameleons change their color by adjusting their skin structure at nanometer length scales. This research seeks to significantly advance the frontier of 3-D printing by introducing the new on-the-fly dynamic capability of tuning material structures down to the nanoscale. This capability will be achieved by designing self-assembling materials, where the self-assembly can be controlled by precisely adjusting the stresses in the printing process. This approach will enable chameleon-skin-like materials capable of rapid color adaptation to be made. This interdisciplinary team brings together expertise on making materials, testing how these materials flow, and printing these materials. This is then combined with advanced molecular simulation to design and evaluate possible materials capable of meeting the criteria for controlled on-the-fly printing of nano-scale structures. These new materials will benefit society and the U.S. by adaptably printing new items with potential applications in camouflage, antireflection coatings, metamaterials, and displays. The research will also involve the training of students with broad expertise spanning chemistry, engineering, and physics, via both student mentorship and educational outreach to students underrepresented in STEM fields.\n\nThis research will use the stresses in out-of-equilibrium 3-D printing processes to 'dial-in' hierarchical structural features in printed structures. A class of candidate materials known as bottlebrush block copolymers can form nanometer structures that readily deform under an applied stress. Bottlebrush block copolymers are a promising materials platform because they possess a large molecular design space. The PIs will develop and implement a screening methodology to explore this design space and determine optimal bottlebrush block copolymers for hierarchical printable materials. A holistic approach to computer-driven design will combine scalable synthesis, large-scale simulation, and rheological characterization to systematically design polymer molecules to yield desired, flow-induced nano-structures. This design procedure will be implemented to optimize 3-D printed nanostructured materials 'on-the-fly', culminating in a proof-of-concept of 3-D printed materials with heterogeneous photonic (i.e. color) properties. Along with this broad goal, this research will address fundamental questions in developing new, scalable polymer chemistry, driven self-assembly, and the rheology of bottlebrush block copolymers.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "9467", "attributes": { "award_id": "3R24AG064025-02S1", "title": "Assessment of Medication Optimization in Rural Kentucky Appalachian patients with mild cognitive impairment or dementia: The AMOR Kentucky Study", "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": 8342, "first_name": "Marcel", "last_name": "Salive", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-08-15", "end_date": "2024-07-31", "award_amount": 238366, "principal_investigator": { "id": 25183, "first_name": "CYNTHIA Melinda", "last_name": "BOYD", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1768, "ror": "", "name": "NORTHERN CALIFORNIA INSTITUTE/RES/EDU", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 25184, "first_name": "MICHAEL A.", "last_name": "STEINMAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 1768, "ror": "", "name": "NORTHERN CALIFORNIA INSTITUTE/RES/EDU", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "3 R24 AG065025-02S1, Steinman, Michael A. Medication-related problems are often the cause of emergency room visits, hospitalizations, and transition to higher levels of care in older adults experiencing mild cognitive impairment (MCI) and Alzheimer’s Disease or Related Dementias (ADRD). Medication complexity adds to the caregiver burden and often results in negative health outcomes and diminished quality of life for both, the patient and the caregiver. Nowhere is this problem more real and impactful than in older adults with MCI and ADRD in the underserved, lower socioeconomic, and health disparity populations in rural Appalachian Kentucky. Outreach into such areas to improve healthcare through interventions such as multidisciplinary deprescribing and medication optimization has been further impacted by the current COVID-19 pandemic. Developing novel, remotely delivered, deprescribing and medication optimization strategies to ADRD populations in Appalachia is a primary goal of our efforts. Utilizing our vast and well-established (16 years of operation) rural telemedicine clinic focused on age-related cognitive decline, MCI, and ADRD, we propose to develop and assess the efficacy of remote strategies for medication optimization and healthcare assessment. We will evaluate remote delivery of optimal deprescribing strategies that will serve as a translational bridge between our prior work at the University of Kentucky and service delivery to underserved populations. Such efforts will serve as a model to be further investigated in other health disparate and underserved populations with ADRD nationwide. These efforts are bolstered by our previous experience implementing deprescribing regimens to improve cognitive reserve in participants seen in a tertiary care setting through our NIA funded study (R01AG054130), our adaptation to remote medication therapy management during the time of COVID, our well-established network of engaged rural healthcare practices, as well as our ability to deliver such interventions directly into the homes of those with ADRD living remotely in underserved, health disparate, regions of rural Kentucky Appalachia. Mobilizing our resources to optimize an immediately implementable strategy for remote outreach in rural ADRD populations using HIPAA-compliant videoconferencing technology, allows for both an immediate direct impact on such interventions in the time of COVID, and will greatly expand the translational reach to health disparity populations that may be geographically distanced from the core centers of the parent grant. Our well-established experience in providing medication optimization interventions to the aging population with cognitive decline of ADRD type has allowed us to develop routine practices of assessment of medication appropriateness, as well as implementation of a multidisciplinary physician-pharmacist team targeting improvement in cognitive outcomes in the aging population. This approach will be carried forward through a telemedicine practice comprised of approximately 500 ADRD patient-caregiver dyads throughout rural areas of Appalachian Kentucky.", "keywords": [ "Address", "Age-associated memory impairment", "Aging", "Alzheimer&apos", "s Disease", "Alzheimer&apos", "s disease related dementia", "Appalachian Region", "Area", "COVID-19 pandemic", "Caregiver Burden", "Caregivers", "Caring", "Clinic", "Cognitive", "Data", "Dementia", "Dementia caregivers", "Education", "Effectiveness", "Elderly", "Emergency department visit", "Enrollment", "Evaluation", "Funding", "Future", "Geography", "Goals", "Health", "Health Care Costs", "Health Insurance Portability and Accountability Act", "Healthcare", "Home", "Hospitalization", "Impaired cognition", "Intervention", "Intervention Studies", "Kentucky", "Medication Management", "Modeling", "Monoclonal Antibody R24", "Outcome", "Outcome Measure", "Participant", "Patient Care", "Patients", "Pharmaceutical Preparations", "Pharmacists", "Physicians", "Population", "Prevalence", "Protocols documentation", "Quality of life", "Regimen", "Resources", "Rural", "Rural Appalachia", "Rural Population", "Target Populations", "Technology", "Telemedicine", "Time", "Underserved Population", "United States National Institutes of Health", "Universities", "Videoconferencing", "Work", "acceptability and feasibility", "aging population", "arm", "base", "clinical care", "cognitive reserve", "cognitive skill", "coronavirus disease", "dementia care", "experience", "follow-up", "health disparity", "health disparity populations", "improved", "insight", "interest", "intervention participants", "mild cognitive impairment", "multidisciplinary", "novel", "novel strategies", "operation", "outreach", "parent grant", "patient oriented", "primary outcome", "public health relevance", "recruit", "remote delivery", "remote health care", "remote intervention", "research clinical testing", "routine practice", "rural area", "rural healthcare", "rural underserved", "satisfaction", "service delivery", "socioeconomic disparity", "socioeconomics", "tertiary care", "underserved area" ], "approved": true } }, { "type": "Grant", "id": "381", "attributes": { "award_id": "2224644", "title": "Conference: Student and Junior Faculty Support for the International Symposium on Sustainable Systems and Technology (ISSST) 2022", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [], "program_officials": [ { "id": 714, "first_name": "Bruce", "last_name": "Hamilton", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-06-01", "end_date": "2023-05-31", "award_amount": 18000, "principal_investigator": { "id": 715, "first_name": "Lu", "last_name": "Liu", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 192, "ror": "https://ror.org/04rswrd78", "name": "Iowa State University", "address": "", "city": "", "state": "IA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 192, "ror": "https://ror.org/04rswrd78", "name": "Iowa State University", "address": "", "city": "", "state": "IA", "zip": "", "country": "United States", "approved": true }, "abstract": "2224644 (Lu). The International Symposium on Sustainable Systems and Technology (ISSST) conference will engage participants from multiple disciplines to focus on sustainability and engineering challenges. This conference, to be held June 21-23, 2022 in Pittsburgh, PA, will address a spectrum of issues for assessing and managing products and services across their life cycle, as well as the design, management, and policy implications of sustainably engineered systems and technologies. ISSST 2022 will highlight five themes: (1) Integrated human-physical systems – how to integrate human dimensions into sustainability design and implementations; (2) Infrastructure sustainability and resiliency – quantitative assessment of the sustainability and resiliency of the built environment; (3) Advances in sustainability assessment methods – the development of new sustainability assessment methods, including data science and analytics, machine learning, multi-objective analyses, and other methods for emerging systems and technologies; (4) Sustainability education – pedagogical approaches to teaching sustainability at different levels and lessons learned in designing sustainability curriculum; and (5) Other creative sustainability-related topics – new methods and ideas that demonstrate unique partnerships, big ideas, perspectives from non-STEM (science, technology, engineering, math) disciplines. The conference will also host special sessions to bring participants together in educational sessions, workshops, communications, and professional skills development. The conference is designed for significant participation from students and young faculty members, as this is critical for developing the next generation of sustainable solutions. This grant will help to expand the participation of students, underrepresented groups, and junior faculty from across the United States in ISSST 2022. Social equity, differential access and impacts, and environmental justice will be prominent across all of the five themes of the 2022 conference. Several sessions are also expected to address the implications of the COVID-19 pandemic on production and consumption, pollution, and critical infrastructure systems. A diverse group of members will share their work in sustainability science and engineering through paper and poster presentations, as well as formal and informal discussions. The conference will also feature a variety of plenary/keynote speakers, including Dr. Aurora Sharrad, Director of Sustainability, from University of Pittsburgh and Dr. Ranran Wang from Leiden University, Netherlands. All of this will provide participants a venue for discussing visions, educational approaches, challenges, as well as provide educators and students opportunities to gain insight on research on sustainability in a holistic manner.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": "1495", "attributes": { "award_id": "2039498", "title": "EAGER: Initiating a Transformative Building Water System Research Collaborative in Rapid Response to the COVID-19 Pandemic", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)" ], "program_reference_codes": [ "096Z", "7916" ], "program_officials": [ { "id": 3890, "first_name": "Bruce", "last_name": "Hamilton", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-08-01", "end_date": "2023-06-30", "award_amount": 185473, "principal_investigator": { "id": 3892, "first_name": "Andrew J", "last_name": "Whelton", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 252, "ror": "", "name": "Purdue University", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 3891, "first_name": "Caitlin", "last_name": "Proctor", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 252, "ror": "", "name": "Purdue University", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "2039498 (Whelton). There's been no other time in modern history where more than 5.6 million U.S. buildings have low to no water use, offering potentially widespread chemical and microbial health risks across the nation. It is unclear how these nationwide water stagnation events will impact water quality and ultimately public health. Furthermore, there is even less data and communication about effective water system rehabilitation practices following prolonged water stagnation. The goal of this project is to rapidly organize and lead a nation-wide Building Water Systems Research Collaborative with multiple institutions focused on generating and sharing new knowledge within the research community and with the public. The collaborative will share cutting-edge knowledge, protocols, best analytical practices, big data, and field practices through a series of formal interactions amongst an interdisciplinary team with a common focus. Because of heightened health concerns, building system complexity, and a variety of investigative approaches and reporting, there is potential for public confusion and loss of confidence as studies are published one at a time without context. Thus, it is in the public's best interest that collaborations be fueled and researchers share knowledge towards a broader understanding. This collaborative will help catalyze a deeper focus on fundamental discovery, facilitate rapid sharing of knowledge being developed, and also stave off potential confusion from the scientific community. Currently, there's no formal mechanism by which institutions share methods, preliminary results, research, and communication strategies in real time about building water systems. There also is no training for researchers responding to a disaster to gain expertise on relevant science communication – before communicating. This effort will help focus U.S. research efforts into a common collaborative, thereby maximizing their robustness, and impact of results from multiple studies.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": "11689", "attributes": { "award_id": "2330094", "title": "Conference: Student Engagement in 2023 NASA-SAE International Energy & Mobility Technology, Systems, and Value Chain Conference & Expo", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "FD-Fluid Dynamics" ], "program_reference_codes": [], "program_officials": [ { "id": 573, "first_name": "Ron", "last_name": "Joslin", "orcid": null, "emails": "", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [] } ], "start_date": "2023-06-15", "end_date": "2024-05-31", "award_amount": 15000, "principal_investigator": { "id": 8059, "first_name": "Yong", "last_name": "Tao", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 287, "ror": "https://ror.org/002tx1f22", "name": "Cleveland State University", "address": "", "city": "", "state": "OH", "zip": "", "country": "United States", "approved": true }, "abstract": "2023 Energy and Mobility Conference, also known as 2023 NASA-SAE International Energy & Mobility Technology, Systems, and Value Chain Conference & Expo convenes professionals from across the global energy and mobility technical & business communities (including energy and infrastructure, aviation and space, autonomous control, automotive and commercial vehicles) to facilitate information sharing, technology transfer, conversations on key questions, cross-industry collaboration and synergistic approaches. It has been a tradition to invite faculty and students from academic institutions to the conference with the purpose to expose diverse students to the real-world projects and solutions that require multi-disciplinary and system-level research at the different technology readiness levels. Covid-19 pandemics has prevented more students from direct interaction with industries and government research centers in conferences like this one. This project provides the support to diverse students to participate in this conference, interact with over one hundred speakers, hear presentations and keynote speeches from technology experts, policy and decision makers, and leading company executives dealing with the vital challenges of securing our future Energy and Mobility, consistent with climate goals.\n\nThe specific goal of this project is to recruit and engage students with diverse background, such as underrepresented minority students, in interactions with conference presenters of various advanced technology developments and initiatives. The energy and mobility technology development impacts a vast spectrum of industry and society in general. A pathway of such technology development dictates a close relationship between NASA, industries and academia. New advances in this field prompted by an increased attendance and collaborations at the conference through this grant would help improve and optimize numerous applications of societal benefit such as turbines, fuel cells, hybrid and electric aircraft, space vehicles, lunar bases, electronic devices, freshwater production, industrial processes, alternative fuels such as hydrogen, and medicine, among others. Being engaged in a conference with NASA Glenn Research Center and industries, students can relate to their learning and research experience in the academic institutions in areas such as thermal and fluids engineering, energy engineering and sustainability related sciences.\n\nThis 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 } } ], "meta": { "pagination": { "page": 1383, "pages": 1424, "count": 14236 } } }