Represents Grant table in the DB

GET /v1/grants?page%5Bnumber%5D=1383&sort=-other_investigators
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/vnd.api+json
Vary: Accept

{
    "links": {
        "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-other_investigators",
        "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1419&sort=-other_investigators",
        "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1384&sort=-other_investigators",
        "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1382&sort=-other_investigators"
    },
    "data": [
        {
            "type": "Grant",
            "id": "10385",
            "attributes": {
                "award_id": "1R01MH126693-01",
                "title": "Reducing COVID-related PTSD symptoms in Frontline Healthcare Workers through Trauma-Focused Treatment in Employee Assistance Programs",
                "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": 7956,
                        "first_name": "Jennifer",
                        "last_name": "Villatte",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-09-01",
                "end_date": "2026-06-30",
                "award_amount": 779420,
                "principal_investigator": {
                    "id": 26365,
                    "first_name": "Rebecca Kaufman",
                    "last_name": "Sripada",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 770,
                    "ror": "",
                    "name": "UNIVERSITY OF MICHIGAN AT ANN ARBOR",
                    "address": "",
                    "city": "",
                    "state": "MI",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Healthcare workers on the frontlines of the COVID-19 pandemic are experiencing unprecedented levels of stress and trauma exposure, resulting in exceptionally high rates (27-57%) of posttraumatic stress disorder (PTSD). Although Employee Assistance Programs (EAPs) have expanded their offerings to support healthcare workers during the pandemic, they lack the capacity to provide time-intensive first-line treatments for PTSD. To address this problem, the study team has adapted a standard first-line 12-session treatment into a brief, 4-6 session format (Prolonged Exposure for Primary Care; PE-PC) and demonstrated its efficacy in military service members. Given the rising tide of PTSD in frontline healthcare workers, there is an urgent need to test the effectiveness and subsequently implement PE-PC for this population by leveraging the existing resource of the healthcare system EAP. The long-term goal is to address COVID-19-related PTSD symptoms among healthcare workers and other vulnerable populations. The overall objective of this application is to demonstrate the effectiveness and identify barriers and facilitators to the implementation of PE-PC in healthcare system EAPs. The central hypothesis is that PE-PC will reduce COVID-19-related PTSD symptoms and improve functioning, compared to EAP Treatment as Usual (TAU). The rationale is that effectively treating COVID-19- related PTSD in the EAP setting is a scalable and cost-effective way to reduce healthcare worker distress and disability and will accrue downstream benefits to the healthcare organization and its patients. To accomplish the objective, this project will test the effectiveness of PE-PC, delivered by EAP counselors via telehealth, versus EAP TAU in 360 healthcare workers with PTSD at four southeast Michigan healthcare systems. This Hybrid Type 1 effectiveness-implementation trial will test the effectiveness of PE-PC and gather data regarding implementation through process evaluation and implementation mapping. The specific aims are: Specific Aim 1: Compare the effectiveness of PE-PC versus EAP TAU in reducing PTSD symptoms at 6-week (post- treatment), 3-, and 6-month follow-ups. Specific Aim 2: Compare the effectiveness of PE-PC versus EAP TAU in reducing burnout and improving job performance and functioning at 6-week, 3-, and 6-month follow-ups. Exploratory Aim 1: Confirm the mechanism and identify key mediators/moderators. Exploratory Aim 2: Conduct cost-effectiveness analysis. Exploratory Aim 3: Prepare for future implementation by conducting process evaluation and implementation mapping. This strategy will yield an implementation strategy that is targeted to address EAP-specific implementation barriers. This project is significant because it will contribute to the field a point-of-care intervention for frontline HCWs with COVID-19 related PTSD, thus improving clinical practice for this vulnerable population and increasing preparedness for future public health emergencies. This proposal is innovative because it will it will shift delivery of efficacious PTSD treatment from lengthy care in a traditional specialty care setting to brief treatment with a telehealth option in a frontline community setting.",
                "keywords": [
                    "Absenteeism",
                    "Address",
                    "Adherence",
                    "Aftercare",
                    "Age",
                    "Area",
                    "COVID-19",
                    "COVID-19 pandemic",
                    "COVID-19 treatment",
                    "Caring",
                    "Cognition",
                    "Community Practice",
                    "Consolidated Framework for Implementation Research",
                    "Cost Effectiveness Analysis",
                    "Data",
                    "Distress",
                    "Effectiveness",
                    "Effectiveness of Interventions",
                    "Employee",
                    "Employee Assistance Program (Health Care)",
                    "Ensure",
                    "Ethnic Origin",
                    "Evidence based treatment",
                    "Future",
                    "Goals",
                    "Health",
                    "Health Personnel",
                    "Healthcare Systems",
                    "Hybrids",
                    "Individual",
                    "Infrastructure",
                    "Intervention",
                    "Interview",
                    "Lead",
                    "Measures",
                    "Mediating",
                    "Mediator of activation protein",
                    "Mental Health",
                    "Michigan",
                    "Military Personnel",
                    "Mission",
                    "Modeling",
                    "National Institute of Mental Health",
                    "Occupations",
                    "Patients",
                    "Performance at work",
                    "Population",
                    "Post-Traumatic Stress Disorders",
                    "Primary Health Care",
                    "Procedures",
                    "Process",
                    "Professional counselor",
                    "Public Health",
                    "Quality of life",
                    "Quality-Adjusted Life Years",
                    "Race",
                    "Readiness",
                    "Resources",
                    "Severities",
                    "Stress",
                    "Structure",
                    "Symptoms",
                    "Testing",
                    "Therapeutic Effect",
                    "Time",
                    "Training",
                    "Trauma",
                    "Veterans Health Administration",
                    "Vulnerable Populations",
                    "active duty",
                    "adverse outcome",
                    "anxious",
                    "base",
                    "brief intervention",
                    "burnout",
                    "clinical practice",
                    "clinically significant",
                    "community setting",
                    "compare effectiveness",
                    "coronavirus disease",
                    "cost effective",
                    "cost effectiveness",
                    "design",
                    "disability",
                    "effectiveness evaluation",
                    "effectiveness implementation study",
                    "effectiveness implementation trial",
                    "effectiveness research",
                    "effectiveness testing",
                    "experience",
                    "future implementation",
                    "health care service organization",
                    "implementation barriers",
                    "implementation efforts",
                    "implementation facilitators",
                    "implementation strategy",
                    "improved",
                    "improved functioning",
                    "innovation",
                    "medical specialties",
                    "military service",
                    "pandemic disease",
                    "point of care",
                    "practice setting",
                    "process evaluation",
                    "programs",
                    "public health emergency",
                    "reduce symptoms",
                    "service member",
                    "sex",
                    "telehealth",
                    "trauma exposure",
                    "treatment as usual"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10386",
            "attributes": {
                "award_id": "1R03DE032417-01",
                "title": "Mucosal Immune Surveillance at the Taste Papillae",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Institute of Dental and Craniofacial Research (NIDCR)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 22517,
                        "first_name": "Preethi",
                        "last_name": "Chander",
                        "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": 155500,
                "principal_investigator": {
                    "id": 26366,
                    "first_name": "Sunil Kumar",
                    "last_name": "Sukumaran",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 978,
                    "ror": "",
                    "name": "UNIVERSITY OF NEBRASKA LINCOLN",
                    "address": "",
                    "city": "",
                    "state": "NE",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Taste buds are continually exposed to oral and food borne microbes, but the pathways underlying the three- way interactions between taste cells, the oral microbiome and oral epithelial immune cells have not been studied in sufficient detail. While the vast majority of the hundreds of microbial species in the oral cavity are either innocuous or beneficial to the host, dysregulation of the oral microbiome can cause taste disorders. Infection associated taste loss is observed in the cases of COVID-19, viral hepatitis, influenza, and candidiasis, to name a few examples. Mucosae such as those in the gut and tonsils possess secondary lymphoid tissues called mucosae associated lymphoid tissue (MALT) over laid by specialized epithelia call the follicle associated epithelium (FAE). FAE contain immune surveillance cells called microfold cells (M cells) that transcytose luminal microbes and present them to immune cells in the underlying germinal centers, that generate an appropriate immune response. Thus, M cells are central players in mucosal immunity, and dysregulation of M cell pathways are known to cause infection. Using single cell RNASeq, we discovered that sweet taste receptor cells (STRCs) and duct cells of the von Ebner gland (VDCs), a minor salivary gland associated with taste papillae, express several M cell marker genes, including Spib, a transcription factor required for M cell development and regeneration. These findings were confirmed using RNAScope and double label immunohistochemistry with STRC and other taste cell type marker genes. Administration of RANKL, a growth factor required for M cell regeneration led to dramatic upregulation of M cell marker genes in taste papillae from wild type (WT) but not Spib knock out mice. We hypothesize that STRCs and VDCs participate in immune surveillance at the taste papillae in the same manner as M cells, and that perturbances in this pathway might lead to infection, inflammation and taste loss. We will test this hypothesis by thoroughly examining the expression of M cell marker genes in taste papillae using quantitative polymerase chain reaction, RNASeq and histological techniques, and by determining the ability of the RANKL to trigger M cell proliferation in specific pathogen free (SPF) and germ free (GF) WT mice and SPF Spib conditional knockout mice (SpibCKO mice) and taste organoids cultured from them. We will also determine the changes in immune cell recruitment to the taste papillae in all three mouse strains/conditions described above. The ability of STRCs and VDCs in vivo and in taste organoids to transcytose luminal microbes will be measured by quantifying the uptake of fluorescently tagged nanoparticles and green fluorescent protein expressing Escherichia coli. The changes in taste sensitivity in SpibCKO mice will be determined using brief access taste test in a gustometer. Our study represents a novel foray into the intersection between taste biology and immunity and has the potential to deepen the understanding of mucosal immune surveillance at taste papillae. Successful completion of this study promises to help design novel strategies to treat taste loss associated with infection, obesity and aging.",
                "keywords": [
                    "Advanced Development",
                    "Affect",
                    "Ageusia",
                    "Aging",
                    "Behavior",
                    "Behavioral Assay",
                    "Biological Assay",
                    "Biology",
                    "COVID-19",
                    "COVID-19 patient",
                    "Candida albicans",
                    "Candidiasis",
                    "Cell Proliferation",
                    "Cell physiology",
                    "Cells",
                    "Cilia",
                    "Development",
                    "Disease",
                    "Ductal Epithelial Cell",
                    "Epithelial",
                    "Escherichia coli",
                    "Exposure to",
                    "Foundations",
                    "Future",
                    "Gene Expression",
                    "Gene Expression Profile",
                    "Genes",
                    "Germ-Free",
                    "Gland",
                    "Goals",
                    "Green Fluorescent Proteins",
                    "Growth Factor",
                    "Health",
                    "Histological Techniques",
                    "Homeostasis",
                    "Human",
                    "Immune",
                    "Immune response",
                    "Immunity",
                    "Immunoglobulin A",
                    "Immunohistochemistry",
                    "Immunologic Surveillance",
                    "Infection",
                    "Inflammation",
                    "Influenza",
                    "Intestines",
                    "Kinetics",
                    "Knockout Mice",
                    "Label",
                    "Langerhans cell",
                    "Lead",
                    "Lymphoid Tissue",
                    "Maintenance",
                    "Measures",
                    "Mediating",
                    "Microbe",
                    "Microspheres",
                    "Minor salivary gland structure",
                    "Modeling",
                    "Mouse Strains",
                    "Mucosal Immunity",
                    "Mucous Membrane",
                    "Mucous body substance",
                    "Mus",
                    "Names",
                    "Natural regeneration",
                    "Obesity",
                    "Oral",
                    "Oral candidiasis",
                    "Oral cavity",
                    "Oral mucous membrane structure",
                    "Organoids",
                    "Pathology",
                    "Pathway interactions",
                    "Polymerase Chain Reaction",
                    "Population Heterogeneity",
                    "Proliferation Marker",
                    "Receptor Cell",
                    "Role",
                    "Route",
                    "Signal Transduction",
                    "Structure of germinal center of lymph node",
                    "T-Lymphocyte",
                    "TNFSF11 gene",
                    "Taste Buds",
                    "Taste Disorders",
                    "Taste Perception",
                    "Testing",
                    "Tonsil",
                    "Transcriptional Regulation",
                    "Up-Regulation",
                    "Viral hepatitis",
                    "Wild Type Mouse",
                    "antimicrobial peptide",
                    "behavior measurement",
                    "cell regeneration",
                    "cell type",
                    "conditional knockout",
                    "cytokine",
                    "design",
                    "foodborne",
                    "germ free condition",
                    "in vivo",
                    "intestinal epithelium",
                    "microbial",
                    "microbial colonization",
                    "microbiota",
                    "monocyte",
                    "mouse model",
                    "mucosa-associated lymphoid tissue",
                    "nanoparticle",
                    "novel",
                    "novel strategies",
                    "nutrition",
                    "opportunistic pathogen",
                    "oral cavity epithelium",
                    "oral microbial community",
                    "oral microbiome",
                    "recruit",
                    "secondary lymphoid organ",
                    "single-cell RNA sequencing",
                    "sweet taste perception",
                    "tongue dorsum",
                    "tongue papilla",
                    "transcription factor",
                    "transcriptome sequencing",
                    "transcytosis",
                    "uptake"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10387",
            "attributes": {
                "award_id": "1R35GM145331-01",
                "title": "Mechanisms of Dysregulated Innate Immune Responses to Lethal Infections",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Institute of General Medical Sciences (NIGMS)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 22300,
                        "first_name": "XIAOLI",
                        "last_name": "Zhao",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-09-01",
                "end_date": "2027-08-31",
                "award_amount": 418750,
                "principal_investigator": {
                    "id": 26367,
                    "first_name": "Haichao",
                    "last_name": "Wang",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 1019,
                    "ror": "https://ror.org/05dnene97",
                    "name": "Feinstein Institute for Medical Research",
                    "address": "",
                    "city": "",
                    "state": "NY",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Microbial infections annually claim hundreds of thousands of victims in the U.S. alone, but its complex pathogenesis is still poorly understood. Our seminal discovery of HMGB1 as a late mediator of lethal endotoxemia (Science, 1999, Cited >4,000 times) has fueled continuous search for other late mediators of lethal infections. With the long-standing R01 grant support from NIGMS (R01GM063075 for 15 years) and NCCIH (R01AT005076 for > 10 years), we identified another late mediator of sepsis, Sequestosome-1 (SQSTM1) (Nat Microbiol, 2020). Meanwhile, we recently generated exciting preliminary data that microbial toxins (e.g., the SARS-CoV-2 spike protein ACE2 receptor binding motif, RBM) and several host secretory proteins [e.g., serum amyloid A (SAA), procathepsin-L (pCTS-L) and dermcidin (DCD)] divergently affect the release of HMGB1 and SQSTM1 by innate immune cells. In line with the inspiring spirit of the MIRA funding scheme, we wish to tackle bigger questions frequently considered as “higher-risk” or “ambitious” by proposing a bold hypothesis that microbial toxins and host proteins induce the release of HMGB1 and SQSTM1 to trigger dysregulated pyroptosis, immunosuppression and coagulopathy. This hypothesis is built upon our recent realization that extracellular HMGB1 causes macrophage pyroptosis and immunosuppression when passively released in high levels (Sci Transl Med, 2020). Accordingly, we seek to address three key challenges related to this hypothesis. The first involves the characterization of the dynamic changes of pCTS- L, HMGB1 and SQSTM1 in parallel with other biomarkers in clinical sepsis using semi-quantitative immunoassays or high-throughput Cytokine Antibody Arrays. The second involves understanding the mechanisms by which microbial toxins (e.g., LPS and RBM) and host secretory proteins (e.g., SAA, pCTS-L and DCD) divergently affect the release of HMGB1 and SQSTM1 by examining their effects on the expression of macrophage hemichannels and secretory phospholipase A2s (sPLA2s), the activation of inflammasome and pyroptosis, or immuno-metabolism. In the third project, we propose to evaluate the therapeutic efficacy and protective mechanisms of DCD as well as cocktail of monoclonal antibodies against HMGB1, pCTS-L and SQSTM1 in animal models of lethal endotoxemia, bacteremia, viral toxemia and sepsis. Elucidating the mechanisms underlying the regulation of several late-acting mediators and development of novel cocktail therapies requires a long-term commitment and associated flexibility to explore different research directions. If successful, it will significantly improve our understanding of the intricate mechanisms underlying the dysregulated innate immune responses to lethal infections, and shed light on the future development of novel therapeutic strategies for the clinical management of human sepsis and other infectious diseases.",
                "keywords": [
                    "ACE2",
                    "Address",
                    "Affect",
                    "Animal Model",
                    "Antibodies",
                    "Bacteremia",
                    "Biological Markers",
                    "Blood Coagulation Disorders",
                    "Cells",
                    "Clinical",
                    "Clinical Management",
                    "Communicable Diseases",
                    "Complex",
                    "Data",
                    "Development",
                    "Endotoxemia",
                    "Funding",
                    "Future",
                    "Grant",
                    "HMGB1 Protein",
                    "Human",
                    "Immune",
                    "Immunoassay",
                    "Immunosuppression",
                    "Infection",
                    "Inflammasome",
                    "Innate Immune Response",
                    "Interferon Type II",
                    "Light",
                    "Mediator of activation protein",
                    "Metabolism",
                    "Monoclonal Antibodies",
                    "National Center for Complementary and Integrative Health",
                    "National Institute of General Medical Sciences",
                    "Pathogenesis",
                    "Phospholipase",
                    "Proteins",
                    "Regulation",
                    "Research",
                    "SARS-CoV-2 spike protein",
                    "Scheme",
                    "Science",
                    "Seminal",
                    "Sepsis",
                    "Septic Toxemia",
                    "Serum amyloid A protein",
                    "TNF gene",
                    "Time",
                    "Toxin",
                    "Treatment Efficacy",
                    "Viral",
                    "cytokine",
                    "dermcidin",
                    "extracellular",
                    "flexibility",
                    "high risk",
                    "improved",
                    "macrophage",
                    "microbial",
                    "novel",
                    "novel therapeutic intervention",
                    "receptor binding",
                    "secretory protein",
                    "systemic inflammatory response",
                    "treatment strategy"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10388",
            "attributes": {
                "award_id": "1U18FD007727-01",
                "title": "Building UI VDL COVID-19 test capacity: evaluating sample pooling for SARS-CoV-2 testing in animals",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 26272,
                        "first_name": "Megan",
                        "last_name": "Miller",
                        "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": 56820,
                "principal_investigator": {
                    "id": 24756,
                    "first_name": "Leyi",
                    "last_name": "Wang",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 1040,
                            "ror": "",
                            "name": "UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN",
                            "address": "",
                            "city": "",
                            "state": "IL",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 1040,
                    "ror": "",
                    "name": "UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN",
                    "address": "",
                    "city": "",
                    "state": "IL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "SARS-CoV-2 can infect both human and animals. Population testing is one of important steps to contain Covid-19 pandemic in humans, which will be also a right strategy in animal species. SARS-CoV-2 positive rates in animals in the US are under-estimated partially because animal testing needs state official approval. Testing capabilities must be expanded to enable a large-scale surveillance in animals when needed. Sample pooling has been proved a useful strategy to increase testing capacity and reduce testing burden. In this proposal, we request funding to build testing capacity at the University of Illinois Veterinary Diagnostic Laboratory (UI VDL) to evaluate sample pooling to scale up testing for SARS-CoV-2 and save testing resources. To determine the effect of pooling on test sensitivity, we will evaluate two different pooling sizes for SARS-CoV-2 PCR testing in the UI VDL. The positive samples will be evaluated individually and together with negative samples. The same set of positive and negative samples will be randomly pooled for simulation of clinical pooling testing. The validated pooling strategy can be used for SARS-CoV-2 surveillance in different animal species. Therefore, the validated pooling procedure will make UI VDL ready for responding to SARS-CoV-2 outbreak investigation in animals. The proposed study will scale up the capabilities of the Vet-LIRN laboratories to respond quickly to Covid-19 outbreaks in animals, which will have tremendous impacts for both human and veterinary health.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10389",
            "attributes": {
                "award_id": "1U18FD007723-01",
                "title": "Building UI VDL COVID-19 test capacity: evaluating a SARS-CoV-2 LAMP assay for animal samples",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 24456,
                        "first_name": "Olgica",
                        "last_name": "Ceric",
                        "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": 67149,
                "principal_investigator": {
                    "id": 24756,
                    "first_name": "Leyi",
                    "last_name": "Wang",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 1040,
                            "ror": "",
                            "name": "UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN",
                            "address": "",
                            "city": "",
                            "state": "IL",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 1040,
                    "ror": "",
                    "name": "UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN",
                    "address": "",
                    "city": "",
                    "state": "IL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "SARS-CoV-2 pandemic has lasted for two years and caused millions of infections and deaths in humans. Potentially through initial human-to-animal and animal-to animal transmission events, lots of animals such as minks were infected with SARS-CoV-2. SARS-CoV-2 has been detected in at least 18 animal species consisting of pet, captive, farm, and wild animals. It still remains unclear about the origin of SARS-CoV-2. Clinical testing is one of important steps to contain Covid-19 pandemic and monitor the virus evolution. Molecular tests are commonly used for SARS-CoV-2 and RT-LAMP is a powerful molecular assay for SARS-CoV-2 testing because of its high specificity and sensitivity, cost-effectiveness, and fast turnaround time. In this proposal, we request funding to build testing capacity at the University of Illinois Veterinary Diagnostic Laboratory (UI VDL) to perform a RT-LAMP test for animal samples. All commercial SARS-CoV-2 RT-LAMP test kits are developed for human use and there is a need to perform evaluation of RT-LAMP test for animal samples. In this project, we evaluate a commercial SARS-CoV-2 RT-LAMP kit for animal samples collected in the UI VDL. The same set of positive and negative samples used for RT-LAMP will be also tested by real-time RT-PCR for comparison. The validated RT-LAMP diagnostic assay can be used for testing SARS-CoV-2 in samples of different animal species. Therefore, the validated RT-LAMP will make UI VDL ready for responding to SARS-CoV-2 outbreak investigation and surveillance in animals. The proposed study will enhance the capabilities of the Vet-LIRN laboratories to respond quickly to Covid-19 outbreaks in animals, which will have important impacts for both human and veterinary health.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10391",
            "attributes": {
                "award_id": "1R01AG074358-01A1",
                "title": "Prescribing trends and associated outcomes of antiepileptic drugs and other psychoactive medications in US nursing homes surrounding the COVID-19 pandemic",
                "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": "2022-09-01",
                "end_date": "2027-06-30",
                "award_amount": 702148,
                "principal_investigator": {
                    "id": 26371,
                    "first_name": "Jonathan",
                    "last_name": "Winter",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 672,
                    "ror": "https://ror.org/02nkdxk79",
                    "name": "Virginia Commonwealth University",
                    "address": "",
                    "city": "",
                    "state": "VA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Since the National Partnership to Improve Dementia Care debuted in 2012 with the goal to reduce antipsychotic use in individuals with Alzheimer’s disease and/or Alzheimer’s-related dementias (AD/ADRD), CMS has scrutinized almost all associated long-stay psychoactive prescribing. While the long-stay use of these monitored psychoactive drugs has declined, prescriptions of mood-stabilizing antiepileptic drugs (AEDs) have increased. Similar to antipsychotics, mood stabilizing AEDs are used to treat the behavioral and psychological symptoms of dementia (BPSD) in the AD/ADRD population. Unlike antipsychotics and other psychoactive medications, AEDs prescribed in nursing homes are not mandatorily reported to CMS. Pilot studies suggest AED increases are concentrated entirely in AD/ADRD and other dementia patients with no diagnosis of epilepsy and purposefully prescribed for BPSD as an unmonitored alternative to antipsychotics. AEDs are not approved to treat AD/ADRD or any dementia symptoms, have weak efficacy evidence, and convey serious risk. Increasingly, the Partnership’s debut seems an inflection point where the trend toward unmonitored alternative drugs for AD/ADRD symptoms sharply increased. Furthermore, initial findings hint that the COVID pandemic represents a second critical point of inflection where the existing transition toward non-superior but unreported drugs for AD/ADRD is again rapidly accelerating. All outcomes associated with this evolving pre-scribing phenomenon remain unknown, though early data warns that harms may be increasing without benefit. We propose a retrospective analysis detailing long-stay prescribing of all psychoactives, including AEDs, for AD/ADRD and other conditions, how such prescribing is changing under the combined pressures of the pandemic and targeted reduction efforts, and the role of such prescribing in adverse health outcomes. We will accomplish this by creating a detailed dataset of quarterly cohorts of nursing home residents, including those with AD/ADRD, for the years 2009-2021 that draws on elements linked at an individual level from CMS’s Minimum Data Set (MDS), Part D, MedPAR, and Public Use files. The final linked dataset will include health, demographic, cognitive, and diagnostic variables, all psychoactive drug claims, nursing home outcomes, records of hospital and ER adverse events, and long-stay facility details, including staffing resources and COVID statistics. Finally, to help explain and validate findings, a national sampling of nursing home prescribers will be surveyed regarding their knowledge and beliefs surrounding changing approaches to the care of AD/ ADRD and associated outcomes. This study will describe current and evolving AED use in nursing homes for all indications, focusing on AD/ADRD and AD/ADRD outcomes. It will describe racial and gender disparities in the long-stay populations treated or not treated with psychoactives. It will delineate the impact of the COVID pandemic in combination with national policies on ADRD management and outcomes. Results of this study will inform policymakers, improve nursing home care and safety, and introduce new avenues for ongoing research.",
                "keywords": [
                    "Adverse event",
                    "Alzheimer&apos",
                    "s Disease",
                    "Alzheimer&apos",
                    "s disease care",
                    "Alzheimer&apos",
                    "s disease related dementia",
                    "Antiepileptic Agents",
                    "Antipsychotic Agents",
                    "Attitude",
                    "Behavior",
                    "Behavioral Symptoms",
                    "Belief",
                    "Black race",
                    "COVID-19 pandemic",
                    "Caring",
                    "Cessation of life",
                    "Characteristics",
                    "Cognitive",
                    "Data",
                    "Data Set",
                    "Dementia",
                    "Diagnosis",
                    "Diagnostic",
                    "Drug Prescriptions",
                    "Drug usage",
                    "Elements",
                    "Emergency department visit",
                    "Epilepsy",
                    "Event",
                    "Goals",
                    "Health",
                    "Home Nursing Care",
                    "Hospital Records",
                    "Hospitalization",
                    "Individual",
                    "Knowledge",
                    "Label",
                    "Link",
                    "Measures",
                    "Medical",
                    "Methods",
                    "Monitor",
                    "Moods",
                    "National Institute on Aging",
                    "Nursing Homes",
                    "Outcome",
                    "Patients",
                    "Pattern",
                    "Pharmaceutical Preparations",
                    "Pilot Projects",
                    "Planning Theory",
                    "Policies",
                    "Population",
                    "Prevalence",
                    "Psychotropic Drugs",
                    "Research",
                    "Resources",
                    "Risk",
                    "Role",
                    "Safety",
                    "Sampling",
                    "Surveys",
                    "Symptoms",
                    "Vulnerable Populations",
                    "base",
                    "cohort",
                    "coronavirus disease",
                    "dementia care",
                    "falls",
                    "gender disparity",
                    "hospice environment",
                    "improved",
                    "innovation",
                    "neuropsychiatric symptom",
                    "palliative",
                    "pandemic disease",
                    "pandemic stress",
                    "patient oriented",
                    "pressure",
                    "psychological symptom",
                    "racial disparity",
                    "response",
                    "statistics",
                    "stressor",
                    "trend"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10393",
            "attributes": {
                "award_id": "1R01HS028438-01A1",
                "title": "A quality and cost analysis of interprofessional team continuity in ICUs",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 22615,
                        "first_name": "Brent",
                        "last_name": "Sandmeyer",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-09-01",
                "end_date": "2027-06-30",
                "award_amount": 386395,
                "principal_investigator": {
                    "id": 26374,
                    "first_name": "Olga",
                    "last_name": "Yakusheva",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 770,
                    "ror": "",
                    "name": "UNIVERSITY OF MICHIGAN AT ANN ARBOR",
                    "address": "",
                    "city": "",
                    "state": "MI",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Critical care is the most complex, resource-intensive and costly care setting contributing over $130 billion to national health expenditures annually. Approximately 4 million patients are admitted to intensive care units (ICUs) each year with average mortality rate ranging from 8-19. Recently COVID-19 has highlighted that staffing interprofessional teams in ICUs is quite challenging. One feature of healthcare staffing that has received much attention in settings outside of the ICU is continuity of care – whereby a patient is cared for by a small team of identified professionals over time – has been long recognized as an essential attribute of high- quality, patient-centered care. In primary care, greater continuity of patient care is associated with fewer emergency department visits and hospitalizations, lower healthcare costs, and higher patient satisfaction. Continuity-based acute care staffing models also exist, but are rarely adopted and sustained in practice, particularly in ICUs where continuity-based assignments can be challenging to operationalize. Importantly, although critical care is delivered by interprofessional teams of physicians, nurses, and respiratory therapists, continuity of interprofessional ICU teams has never been conceptualized or measured before. Without this knowledge, it is difficult to know whether hospitals and administrators should prioritize continuity of ICU care, which could be a missed opportunity to improve quality of patient care and outcomes in this critically ill, costly patient population. The overall goal of our study is to examine the effect of continuity of ICU interprofessional teams on patient outcomes and organizational economic outcomes, in order to develop an interprofessional assignment decision-support tool that optimizes the continuity of interprofessional ICU team care. We propose to examine the quality and costs of an interprofessional team continuity staffing approach in ICUs to guide future interventions in 13 ICUs across two different healthcare systems using data from over 2 years. We will examine interprofessional team continuity of shift-level ICU clinician teams (a nurse, a physician, and a respiratory therapist) assigned to each patient during the ICU stay. We define two dimensions of team continuity: intra-professional continuity, measuring each of the clinician’s experience caring for the patient previously during the patient’s stay, and inter-professional continuity, measuring the clinicians’ joint experience working together as a team. We hypothesize that care delivered by shift-level ICU teams with higher intra- and inter-professional continuity will result in improved patient outcomes and reduced costs. Our research team has a strong record of joint publications on attributes of patient care teams including continuity of care with expertise in health economics, critical care nursing and medicine and engineering. Completion of the study will generate the most robust evidence, to date, to inform organizational priorities about continuity-based interprofessional staffing in ICUs, to improve care for critically ill ICU patients.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10394",
            "attributes": {
                "award_id": "1R01EB033371-01",
                "title": "Multifunctional Porous Soft Materials for User-Friendly Skin-Interfaced Bimodal Cardiac Patches with Long-Term Biocompatibility and Antimicrobial Property",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Institute of Biomedical Imaging and Bioengineering (NIBIB)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 24308,
                        "first_name": "LUISA MARIE",
                        "last_name": "Russell",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-09-01",
                "end_date": "2026-05-31",
                "award_amount": 700511,
                "principal_investigator": {
                    "id": 26375,
                    "first_name": "Zheng",
                    "last_name": "Yan",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 1049,
                    "ror": "",
                    "name": "UNIVERSITY OF MISSOURI-COLUMBIA",
                    "address": "",
                    "city": "",
                    "state": "MO",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Long-term, continuous monitoring of heart electrical activities via electrocardiogram (ECG) plays a critical role in early diagnosis and timely interventions of various heart diseases. Concurrent detections of heart mechanics via seismocardiogram (SCG) can yield important data that complement ECG with enhanced utility in early detections of cardiac complications. However, existing ambulatory cardiac monitors are often single-modality and can only detect ECG. Moreover, they usually suffer from poor long-term usability because nonporous constituent materi- als limit their user-friendliness and long-term biocompatibility. To overcome these handicaps, this project aims to develop multifunctional porous soft materials and explore their applications in next-generation user-friendly skin-interfaced cardiac patches with bimodality (concurrent ECG and SCG recording) and long-term biocompat- ibility. The central hypothesis is that rationally designed porous constituent materials and judiciously tailored device fabrication process can enable next-generation skin-interfaced wearables with outstanding user-friendli- ness-related properties (e.g., skin-like compliance, high breathability, antimicrobial) without sacrificing their elec- trical performances. Two research aims include i) developing multifunctional porous elastomer with antimicrobial property via phase separation and investigating extrusion printing of silver nanowire-based conductive materials on obtained porous elastomers; and ii) fabricating mobile cardiac monitoring system with porous materials and evaluating its performance via on-body tests. The major innovations include (1) creation of unprecedented mul- tifunctional porous soft materials that can simultaneously achieve skin-like compliance, high breathability, anti- bacterial, and waterproof; (2) establishment of maskless, additive, high-throughput fabrications of bioelectronic devices on porous materials; and (3) generation of novel skin-interfaced cardiac patch that can outperform con- ventional ones in terms of its user-friendliness, long-term biocompatibility, and long-lasting, reliable, concurrent ECG and SCG recording. From a clinical perspective, the enabling cardiac monitoring device can shift the current paradigm of ambulatory cardiac monitoring and benefit the people who suffer from heart diseases by providing unprecedented user-friendliness for patients to wear and collecting real-time, reliable, comprehensive (ECG and SCG) data for physicians to make crucial care decisions. From a fundamental science perspective, the proposed research concerns foundational questions in skin-interfaced wearables: how to improve the user-friendliness and long-term biocompatibility of skin-interfaced wearables via material innovations (e.g., development of multifunc- tional porous soft materials) and how to fabricate high-performance bioelectronics with porous materials. From a technical perspective, the created materials and addressed fabrication principles can be used to construct various customized skin-interfaced wearables with outstanding user-friendliness, long-term biocompatibility, and long-lasting fidelity of biosignals recording to meet a variety of arising requirements of home-based, personalized healthcare (e.g., monitoring of wound healing, sleep, surgical recovery, stress, COVID-19, and elderly falls).",
                "keywords": [
                    "Accelerometer",
                    "Accounting",
                    "Address",
                    "Anti-Bacterial Agents",
                    "COVID-19",
                    "Cardiac",
                    "Caring",
                    "Cause of Death",
                    "Cessation of life",
                    "Chest",
                    "Clinical",
                    "Complement",
                    "Custom",
                    "Data",
                    "Dermatologist",
                    "Development",
                    "Devices",
                    "Early Diagnosis",
                    "Elastomers",
                    "Elderly",
                    "Electrocardiogram",
                    "Electronics",
                    "Environment",
                    "Food Preservatives",
                    "Foundations",
                    "Generations",
                    "Health Care Costs",
                    "Heart",
                    "Heart Diseases",
                    "Holter Electrocardiography",
                    "Home",
                    "Human",
                    "Hybrids",
                    "Inflammation",
                    "Inflammatory",
                    "Innovation Corps",
                    "Intervention",
                    "Interview",
                    "Lead",
                    "Measurement",
                    "Mechanics",
                    "Methods",
                    "Modality",
                    "Monitor",
                    "Motion",
                    "Myocardial",
                    "Operative Surgical Procedures",
                    "PSSO3",
                    "Pathogenicity",
                    "Patients",
                    "Performance",
                    "Persons",
                    "Phase",
                    "Physicians",
                    "Play",
                    "Polylysine",
                    "Printing",
                    "Process",
                    "Property",
                    "Pruritus",
                    "Public Health",
                    "Reaction",
                    "Recovery",
                    "Research",
                    "Role",
                    "Science",
                    "Signal Transduction",
                    "Silver",
                    "Skin",
                    "Sleep",
                    "Stress",
                    "Stretching",
                    "System",
                    "Technology",
                    "Testing",
                    "Time",
                    "Transducers",
                    "antimicrobial",
                    "antimicrobial peptide",
                    "base",
                    "bioelectronics",
                    "biomaterial compatibility",
                    "cardiogenesis",
                    "data acquisition",
                    "electrical measurement",
                    "falls",
                    "heart electrical activity",
                    "heart visualization",
                    "human subject",
                    "improved",
                    "infection risk",
                    "innovation",
                    "irritation",
                    "member",
                    "monitoring device",
                    "nanowire",
                    "natural antimicrobial",
                    "next generation",
                    "novel",
                    "personalized health care",
                    "programs",
                    "rational design",
                    "sensor",
                    "skin irritation",
                    "smart watch",
                    "usability",
                    "user-friendly",
                    "vibration",
                    "wound care",
                    "wound healing"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10397",
            "attributes": {
                "award_id": "2203262",
                "title": "EAGER: A Holistic Heterogeneous Temporal Graph Transformer Framework with Meta-learning to Combat Opioid Epidemic",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Computer and Information Science and Engineering (CISE)",
                    "Info Integration & Informatics"
                ],
                "program_reference_codes": [],
                "program_officials": [],
                "start_date": "2021-11-01",
                "end_date": "2023-09-30",
                "award_amount": 150000,
                "principal_investigator": {
                    "id": 638,
                    "first_name": "Yanfang",
                    "last_name": "Ye",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 171,
                            "ror": "https://ror.org/00mkhxb43",
                            "name": "University of Notre Dame",
                            "address": "",
                            "city": "",
                            "state": "IN",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 171,
                    "ror": "https://ror.org/00mkhxb43",
                    "name": "University of Notre Dame",
                    "address": "",
                    "city": "",
                    "state": "IN",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The devastating and lethal opioid epidemic has largely been fueled with various opioids in the United States. Unfortunately, driven by considerable profits, opioid trafficking has co-evolved with modern technologies, such as, social media platforms have been utilized for marketing and selling illicit drugs including opioids, which has attracted increasing attention from both public health agencies and law enforcement. As online opioid trafficking activities are nimble and resilient, it calls for novel techniques to effectively detect opioid trades to facilitate proactive response strategies. By advancing capabilities of machine learning and data science, the goal of this project is to design and develop a holistic framework to model and analyze dynamic multi-modal data to fight against online opioid trafficking and, thus, help combat opioid epidemic. This research will enable a conceptual framework for the federal and state governments, public health agencies, law enforcement, and local communities to develop proactive strategies to build up a drug-free world - one community at a time. \n\nBy engaging novel disciplinary perspectives, this exploratory, yet transformative, high risk-high payoff work will involve radically different approaches for the development of an integrated framework to combat online opioid trafficking. The research will have three key components. First, the team will propose a novel heterogeneous temporal graph (HTG) to comprehensively model and abstract multi-modal posts and relational information over time on social media. Second, based on the constructed HTG, the research team will develop an innovative graph transformer to learn user representations for opioid trafficker detection. Third, to tackle the challenge of lack of sufficient labeled data for model training, the team will further develop a new meta-learning algorithm by joining unsupervised graph structure and small amount of supervised training data to update the model. This will enable the model to quickly adapt to a new task, such as identifying a new type of traded opioid and its traffickers on social media, using only a few samples and training iterations. The developed holistic framework for the detection of online opioid trafficking activities will have significant impacts on addressing the critical national opioid epidemic facing our society. The research will be beneficial to data mining and machine learning communities, as well as multidisciplinary domains such as public health, epidemiology, social and behavioral sciences. The outcomes of this project will be made publicly accessible and broadly distributed. The project will integrate research with education through novel curriculum development, participation of underrepresented groups, and student mentoring activities.\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
            }
        },
        {
            "type": "Grant",
            "id": "10398",
            "attributes": {
                "award_id": "2225756",
                "title": "RII-BEC: Transcending Barriers to Success in Economics for Underrepresented Students: Preparing COVID-Affected Students for Their Climate-Resilient Future",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Office Of The Director",
                    "EPSCoR Research Infrastructure"
                ],
                "program_reference_codes": [],
                "program_officials": [],
                "start_date": "2022-10-01",
                "end_date": "2027-09-30",
                "award_amount": 999986,
                "principal_investigator": null,
                "other_investigators": [],
                "awardee_organization": {
                    "id": 684,
                    "ror": "",
                    "name": "University of Hawaii",
                    "address": "",
                    "city": "",
                    "state": "HI",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). \n\nIn Hawaii, the COVID-19 pandemic is having a disproportionate impact on Native Hawaiian, Pacific Islander, and Filipino communities, and on women. These four groups are also extremely underrepresented in the field of economics at the University of Hawai‘i at Manoa. At the same time, environmental challenges that are further exacerbated by climate change threaten these islands, wider Oceania, and coastal communities in Asia and the Americas. This project creates a new economics bridge between Kapiolani Community College (KCC) and the University of Hawaii at Manoa (UHM) to prepare and transfer 100 students from these disproportionately COVID-affected groups into baccalaureate and graduate level economics degree programs. The project weaves indigenous and western knowledge systems and community engagement strategies to contextualize economics coursework to bridge associate, baccalaureate, and master’s degree programs. Active learning, peer mentoring, engaged research, and internship opportunities will enhance the urgency and relevance of economics coursework so that students can embrace and ameliorate the challenges of biocultural restoration and climate resilience in their neighborhoods, communities, regions, and world. The project will promote the progress of science by connecting key concepts and practices from indigenous science with economics curricula, instruction, and research. Further, the project will serve the national interest by amplifying indigenous voices and values, promoting biodiversity conservation and mixed economy and community enterprise models that contribute to nutrition, health, well-being, climate resilience, income generation and prosperity for all American households.\n\nThe project goal is to develop, implement and evaluate a bridge program in economics between KCC and UHM for 100 students from disproportionately COVID-affected groups as they and their communities transition from COVID-affected to climate-resilient and prosperous. The first project objective is to make indigenous and western knowledge system connections for redesigned curriculum and enhanced learning opportunities in first- and second-year economics courses at KCC and five BA and MA leading summer bridge courses at UHM. The Leadership Team will implement a 5-year faculty development program to create new curricular materials, instructional methods, and active learning opportunities, including service, research, and internships. Students in the summer bridge courses will conduct research on the grand challenges of biocultural restoration and climate change. This research can be further developed and advanced in third- and fourth-year and graduate courses. As this objective is met, the project will also develop student recruitment, mentoring, retention and learning strategies that will help these students gain a strong sense of belonging in college, becoming an economics major and a growing sense of reciprocity and responsibility in community and careers. The project will build authentic, durable intra- and inter-campus and campus-community partnerships that increase student well-being and program health, and close indigenous and female degree completion gaps in economics. The project has six deliverables: 1) a KCC-UHM Transfer and Articulation Agreement; 2) an eight course sequence in economics (with course syllabi) across 2-year, 4-year and graduate programs; 3) a handbook on community-based active learning opportunities for underrepresented students; 4) a handbook on integrating and advancing research in urban and regional planning, sustainability and resilience, and economic futures; 5) an “Indigenizing Economics” concept paper, and 6) a network improvement communications plan for climate resilience and economic prosperity.\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": 1419,
            "count": 14184
        }
    }
}