Represents Grant table in the DB

GET /v1/grants?page%5Bnumber%5D=1384&sort=award_amount
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=award_amount",
        "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1392&sort=award_amount",
        "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1385&sort=award_amount",
        "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1383&sort=award_amount"
    },
    "data": [
        {
            "type": "Grant",
            "id": "13412",
            "attributes": {
                "award_id": "2132229",
                "title": "Center for Advanced Radio Sciences and Engineering",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Mathematical and Physical Sciences (MPS)",
                    "OFFICE OF MULTIDISCIPLINARY AC"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 29511,
                        "first_name": "Alison",
                        "last_name": "Peck",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-01-01",
                "end_date": null,
                "award_amount": 15095135,
                "principal_investigator": {
                    "id": 29515,
                    "first_name": "Rafael",
                    "last_name": "Rodriguez Solis",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 29512,
                        "first_name": "Manuel A",
                        "last_name": "Jimenez",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 29513,
                        "first_name": "Anish R",
                        "last_name": "Damodaran",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 29514,
                        "first_name": "Shawn",
                        "last_name": "Hunt",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 1024,
                    "ror": "",
                    "name": "University of Puerto Rico Mayaguez",
                    "address": "",
                    "city": "",
                    "state": "PR",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The Center for Advanced Radio Sciences and Engineering established in this award will enable the development of integrated tools to resolve spectrum sharing and coexistence issues, and improve performance on radio science observations through an innovation and collaboration ecosystem designed to elevate the science and engineering capacity at  University of Puerto Rico at Mayagüez (UPRM), Arecibo Observatory (AO), and Puerto Rico in general.  The center will explore new concepts in radio astronomy, atmospheric sciences, spectrum monitoring and radio frequency interference mitigation, with a focus on scientific observations.  The Center will improve the research competitiveness of the Puerto Rico engineering and academic communities, training a new generation of students via hands-on experience with leading-edge research infrastructure and internships.  The creation of this center will foster new collaborations between AO, the National Radio Astronomy Observatory (NRAO), industry, and the Puerto Rico academic community, which will both enrich radio sciences and engineering and position Puerto Rico students and scientists to participate strongly in future radio sciences projects.  This project is jointly funded by the Division of Astronomical Sciences, the Established Program to Stimulate Competitive Research (EPSCoR), and the Office of Multidisciplinary Activities in the Directorate for Mathematical and Physical Sciences. <br/><br/>UPRM formed a collaboration with industry and with AO via its managing organization, the University of Central Florida (UCF), to create the Center for Advanced Radio Sciences and Engineering.  This Center provides support to maintain and grow the local scientific and engineering capacity.  The Center will enable the development of integrated tools to resolve spectrum sharing and coexistence issues, and improve performance on radio science observations.  The Center’s specific goals include the development of enabling technologies in radio frequencies, microwave, and millimeter-wave antennas and systems, electronics and embedded systems, and digital signal processing algorithms, together with crosscutting applied sciences research activities in atmospheric sciences and radio astronomy.  Tools envisioned for development consist of spectrum monitoring and radio frequency interference (RFI) mitigation systems; interference robust scientific receivers; small size, low weight, low power and low-cost scientific receivers and monitoring systems; and adaptable transmitters with reduced out-of-band emissions.  The Center includes industry partnerships to develop RFI mitigation solutions. A primary focus is to create new partnerships between academia and industry for the development of the diverse, globally competitive STEM workforce required to plan, design, prototype, construct, commission and operate the next generation of radio astronomy instruments.  Center activities will enhance engineering, radio astronomy, atmospheric science and high-throughput computing research infrastructure at UPRM and at Puerto Rico institutions more broadly, including new faculty lines, support for postdoctoral fellows and graduate students, and cross-institutional research support.  Education, Outreach, Workforce, and Diversity, Equity and Inclusion activities will be developed in partnership with the UPRM Centro Universitario para el Acceso, and the NRAO Radio Astronomy Data Imaging and Analysis Lab Project.<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": "9287",
            "attributes": {
                "award_id": "75N91019D00024-P00001-759102000039-1",
                "title": "Vaccination for Recovered Inpatients with COVID-19 (VATICO)",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Institute of Allergy and Infectious Diseases (NIAID)"
                ],
                "program_reference_codes": [],
                "program_officials": [],
                "start_date": "2020-09-02",
                "end_date": "2023-06-29",
                "award_amount": 15147252,
                "principal_investigator": {
                    "id": 25027,
                    "first_name": "LAURA",
                    "last_name": "MCNAY",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 1610,
                            "ror": "",
                            "name": "LEIDOS BIOMEDICAL RESEARCH, INC.",
                            "address": "",
                            "city": "",
                            "state": "MD",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 1610,
                    "ror": "",
                    "name": "LEIDOS BIOMEDICAL RESEARCH, INC.",
                    "address": "",
                    "city": "",
                    "state": "MD",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The “SARS-Cov-2 Vaccination Strategies In Previously Hospitalized And Recovered COVID-19 Patients” clinical trial known as “VATICO” is assessing the optimal timing and number of mRNA COVID-19 vaccinations for patients discharged after hospitalization for SARS-CoV-2 infection. This trial is a sub-study of the TICO (Therapeutics for Inpatients with COVID-19) study which is a Phase 3 randomized, blinded, controlled platform trial that allows investigational agents to be added and dropped during the course of the study for efficient testing of new agents against control (i.e., placebo + SOC) within the same trial infrastructure.",
                "keywords": [
                    "Blinded",
                    "COVID-19",
                    "COVID-19 patient",
                    "COVID-19 vaccination",
                    "Clinical Trials",
                    "Disease",
                    "Drops",
                    "Hospitalization",
                    "Immune response",
                    "Infrastructure",
                    "Injections",
                    "Inpatients",
                    "Intention",
                    "Intervention",
                    "Investigation",
                    "Messenger RNA",
                    "New Agents",
                    "Outpatients",
                    "Patients",
                    "Phase",
                    "Placebos",
                    "Protocols documentation",
                    "Randomized",
                    "Recovery",
                    "SARS-CoV-2 infection",
                    "Severity of illness",
                    "Testing",
                    "Therapeutic",
                    "Vaccination",
                    "Vaccines",
                    "coronavirus disease",
                    "design",
                    "vaccination strategy"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "8277",
            "attributes": {
                "award_id": "3UM2AI117870-07S1",
                "title": "Rho Federal Systems Division, Inc. NIAID DAIT SACCC",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Institute of Allergy and Infectious Diseases (NIAID)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 21604,
                        "first_name": "Leighton A.",
                        "last_name": "Thomas",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-05-18",
                "end_date": "2023-04-30",
                "award_amount": 15843849,
                "principal_investigator": {
                    "id": 21606,
                    "first_name": "Gloria",
                    "last_name": "David",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 1465,
                            "ror": "",
                            "name": "RHO FEDERAL SYSTEMS DIVISION, INC.",
                            "address": "",
                            "city": "",
                            "state": "NC",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 1465,
                    "ror": "",
                    "name": "RHO FEDERAL SYSTEMS DIVISION, INC.",
                    "address": "",
                    "city": "",
                    "state": "NC",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "/ ABSTRACT The SARS-CoV-2 virus has triggered a world-wide pandemic with over 28 million cases and more than 500,000 deaths in the United States as of March 1, 2021 (Centers for Disease Control and Prevention, COVID Data Tracker). The Food and Drug Administration (FDA) has given Emergency Use Authorization (EUA) to two mRNA vaccines, the Pfizer-BioNTech COVID-19 Vaccine and the Moderna COVID-19 Vaccine. Both vaccines use the new mRNA lipid nanoparticle delivery system and have been proven to be strikingly effective in preventing disease in large clinical trials. Since introduction of these vaccines in a wider population, there have been reports of severe allergic reactions to vaccination with these products. According to published sources, the incidence rate of anaphylaxis for the Pfizer-BioNTech COVID-19 Vaccine is estimated at 10/1,000,000 vaccine doses, which is approximately 10- fold higher than the rate typically seen with commonly used vaccines, and the rate of anaphylaxis for the Moderna COVID-19 Vaccine has been reported as 2.5/1,000,000. The majority of these reactions have occurred in individuals with an allergic background and a large number in individuals with a history of anaphylaxis. The purpose of this project is to provide support for Rho Federal Systems Division to serve as the Statistical and Clinical Coordinating Center for protocol development, implementation, data analysis, and reporting of results for a multicenter, randomized, initially blinded, phase 2 study with two principal aims. The first is to estimate the proportions of systemic allergic reactions to the Pfizer-BioNTech and the Moderna COVID-19 vaccines in individuals with a history of severe allergic reactions to foods, venoms, drugs, or vaccines (High- Allergy [HA]), or a history of mast cell disorders (MCD). The second, if the risk in the HA/MCD population is demonstrable, is to determine whether the proportions are higher in the HA/MCD population compared to a non-atopic study population. In the event a significant number of immediate systemic allergic reactions to either or both vaccines are seen, another focus of this study is to begin evaluating the mechanism(s) of allergic reactions to the COVID-19 vaccines, and to determine if specific risk factors can be identified by patient history or biomarker testing. This information will be crucial to properly advise highly allergic individuals and those with mast cell disorders regarding these vaccines, to maintain public trust in the safety of these vaccines, and to minimize vaccine hesitancy for these and future vaccines using this new technology.",
                "keywords": [
                    "2019-nCoV",
                    "Allergic",
                    "Allergic Reaction",
                    "Anaphylaxis",
                    "Biological Markers",
                    "Blinded",
                    "COVID-19",
                    "COVID-19 vaccine",
                    "Centers for Disease Control and Prevention (U.S.)",
                    "Cessation of life",
                    "Clinical",
                    "Clinical Trials",
                    "Collection",
                    "Data",
                    "Data Analyses",
                    "Development",
                    "Disease",
                    "Dose",
                    "Emerging Communicable Diseases",
                    "Event",
                    "Exposure to",
                    "FDA Emergency Use Authorization",
                    "Food",
                    "Food Hypersensitivity",
                    "Future",
                    "Glean",
                    "Hypersensitivity",
                    "Incidence",
                    "Individual",
                    "Medical History",
                    "Messenger RNA",
                    "Moderna COVID-19 vaccine",
                    "National Institute of Allergy and Infectious Disease",
                    "Patients",
                    "Pfizer-BioNTech COVID-19 vaccine",
                    "Pharmaceutical Preparations",
                    "Phase II Clinical Trials",
                    "Population",
                    "Publishing",
                    "RNA vaccine",
                    "Randomized",
                    "Reaction",
                    "Recording of previous events",
                    "Reporting",
                    "Research",
                    "Risk",
                    "Risk Factors",
                    "Safety",
                    "Serum",
                    "Source",
                    "Standardization",
                    "System",
                    "Testing",
                    "Time",
                    "Tryptase",
                    "United States",
                    "United States Food and Drug Administration",
                    "Vaccination",
                    "Vaccines",
                    "Venoms",
                    "Virus",
                    "coronavirus disease",
                    "design",
                    "improved",
                    "lipid nanoparticle",
                    "mast cell",
                    "nanoparticle delivery",
                    "new technology",
                    "novel vaccines",
                    "pandemic disease",
                    "phase 2 study",
                    "prevent",
                    "primary endpoint",
                    "prospective",
                    "protocol development",
                    "public trust",
                    "rho",
                    "study population",
                    "vaccine development",
                    "vaccine hesitancy",
                    "vaccine safety"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "12778",
            "attributes": {
                "award_id": "75N93023C00019-0-9999-1",
                "title": "DEVELOPMENT OF A VACCINE CANDIDATE FOR CORONAVIRUSES",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Institute of Allergy and Infectious Diseases (NIAID)"
                ],
                "program_reference_codes": [],
                "program_officials": [],
                "start_date": "2023-06-01",
                "end_date": "2026-05-31",
                "award_amount": 15898493,
                "principal_investigator": {
                    "id": 25201,
                    "first_name": "FLORIAN",
                    "last_name": "KRAMMER",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 625,
                            "ror": "https://ror.org/04a9tmd77",
                            "name": "Icahn School of Medicine at Mount Sinai",
                            "address": "",
                            "city": "",
                            "state": "NY",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 625,
                    "ror": "https://ror.org/04a9tmd77",
                    "name": "Icahn School of Medicine at Mount Sinai",
                    "address": "",
                    "city": "",
                    "state": "NY",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "To support the advanced development of candidate products for use following the intentional release of or in response to naturally occurring outbreaks of infectious diseases, including emerging infectious diseases. This contract may support formulation and manufacture of the individual vaccine components, as well as stability testing, nonclinical immunogenicity and efficacy testing in animal models, IND enabling GLP toxicology, submission of an IND and clinical safety and efficacy evaluation.",
                "keywords": [
                    "2019-nCoV",
                    "Advanced Development",
                    "Animal Model",
                    "Clinical",
                    "Communicable Diseases",
                    "Contracts",
                    "Coronavirus",
                    "Disease Outbreaks",
                    "Emerging Communicable Diseases",
                    "Formulation",
                    "Individual",
                    "SARS coronavirus",
                    "Safety",
                    "Toxicology",
                    "Vaccines",
                    "efficacy evaluation",
                    "efficacy testing",
                    "immunogenicity",
                    "manufacture",
                    "response",
                    "stability testing",
                    "vaccine candidate",
                    "vaccine development"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10184",
            "attributes": {
                "award_id": "2049169",
                "title": "GSS: General Social Survey Competition 2022/2024",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Social, Behavioral, and Economic Sciences (SBE)",
                    "Sociology"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1173,
                        "first_name": "Joseph",
                        "last_name": "Whitmeyer",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-10-01",
                "end_date": "2025-09-30",
                "award_amount": 15924856,
                "principal_investigator": {
                    "id": 26124,
                    "first_name": "Michael",
                    "last_name": "davern",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 26120,
                        "first_name": "Stephen L",
                        "last_name": "Morgan",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 26121,
                        "first_name": "Jeremy",
                        "last_name": "Freese",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 26122,
                        "first_name": "Pamela",
                        "last_name": "Herd",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 26123,
                        "first_name": "Rene",
                        "last_name": "Bautista",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 598,
                    "ror": "https://ror.org/02f0bym65",
                    "name": "National Opinion Research Center",
                    "address": "",
                    "city": "",
                    "state": "IL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The General Social Survey (GSS) provides basic information on the changing attitudes and behaviors of the American population over the past 50 years. These data are used widely to examine the complex dynamics of social change over time, and are central to our understanding of the evolution of US society. The GSS also provides data allowing comparisons with other countries through the International Social Survey Programme (ISSP). In this project, the GSS/ISSP surveys are continued into the 2022 and 2024 rounds. The research plan has three primary goals. Aim 1: Enhance the GSS as a platform for scientific discovery by soliciting and developing new content. The GSS/ISSP data enable systematic and theory-driven empirical research on social change by furnishing both a rich set of stable measures over time and new content that illuminates new research issues. Aim 2: Innovate to continue collecting data of the highest quality as the survey environment changes. As response rates continue to fall for traditional survey modes, NORC is evaluating a new mixed-mode design in 2022 and 2024. Such a design may allow generation of an even larger realized sample while maintaining high standards for quality. Aim 3:  Expand dissemination and use of the GSS/ISSP data. The GSS/ISSP project is already one of “60 discoveries or advances that NSF believes have led to a large impact or influence on every American’s life,” and further expanding access to the data beyond the social science research community amplifies its impacts. In this project, the reach of the data is expanded both through updated websites and exploration tools and through increased outreach to students and other users in STEM fields.\n\nSeveral approaches are used to generate new content for the 2024 GSS, including soliciting sponsored modules from the research community, conducting a module competition, using the GSS as a platform for collection of follow-up panel data, and adding content to the GSS through linkage to other data sources. A cost-effective GSS web-based platform is made available for researchers to sponsor follow-up survey modules. The primary mode of data collection remains face-to-face interviews in 2022/24 (unless pandemic restrictions are still in effect), however, web-based data collection continues to be explored to ensure that the GSS remains at the forefront of social science research. In each cycle in 2022 and 2024, 3,500 completed cases are targeted (which exceeds the original required minimum of 2,500 per data collection year, and represents a 40% increase). This larger sample size yields more cases across sub-populations. In addition, the GSS provides supplementary data in 2022 derived from NORC’s probability panel (AmeriSpeak) on an experimental basis.. The GSS  commitment to open science is maintained through the prompt release of public use data, continued support of user technical assistance and GSS use in the classroom, and the development of strategies for reaching a more diverse set of users. Data dissemination is enhanced through a substantial upgrade to the Data Explorer, the primary data access tool for the GSS.  This project is supported by the Sociology Program in SBE/SES and by the IUSE Program in EHR/DUE.\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": "505",
            "attributes": {
                "award_id": "2030859",
                "title": "Computing Innovation Fellows 2020 Project",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Computer and Information Science and Engineering (CISE)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1030,
                        "first_name": "Mitra",
                        "last_name": "Basu",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-05-15",
                "end_date": "2024-04-30",
                "award_amount": 15936600,
                "principal_investigator": {
                    "id": 1035,
                    "first_name": "Ellen W",
                    "last_name": "Zegura",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 274,
                            "ror": "https://ror.org/00agrkd75",
                            "name": "Computing Research Association",
                            "address": "",
                            "city": "",
                            "state": "DC",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 1031,
                        "first_name": "Mark D",
                        "last_name": "Hill",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 1032,
                        "first_name": "Andrew",
                        "last_name": "Bernat",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 1033,
                        "first_name": "Elizabeth",
                        "last_name": "Bradley",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 1034,
                        "first_name": "Ann W",
                        "last_name": "Schwartz",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 274,
                    "ror": "https://ror.org/00agrkd75",
                    "name": "Computing Research Association",
                    "address": "",
                    "city": "",
                    "state": "DC",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The current coronavirus (COVID-19) pandemic is disrupting aspects of daily life and work, including having a serious impact on the current faculty-recruiting season in the computing-research community. A Computing Research Association (CRA) survey completed on April 1st 2020 counted about 100 academic-computing job positions being pulled from the market due to hiring freezes, and universities continue to forecast major financial losses for the upcoming academic year, with likely negative impacts on the academic-computing job market for the next year as well. Thus what is needed is a bridge that keeps highly trained researchers in the academic pipeline to preserve future computing innovation and to meet the training needs of future computing professionals, as these will be the backbone of the future economy. CRA and its Computing Community Consortium (CCC) provided such a bridge for the severe economic downturn a decade ago, using NSF funding to administer three cohorts of Computing Innovation Fellows (CIFellows). That postdoctoral project kept 127 young scholars in research with career-enhancing programs.  The current project, CIFellows 2020, is intended to provide similar support for the academic-computing pipeline in light of the damage it is sustaining in the wake of the current pandemic. The CIFellows 2020 project takes inspiration from the original CIFellows project but adapts it to the current uncertain situation, by incorporating more flexibility, allowing the option of doing a postdoc at the applicant’s current institution, and providing a significant mentoring/cohort-building component that is based on best practices that emerged from the original effort. Fellows may come from any research area under the umbrella of NSF Computing and Information Science and Engineering (CISE). Fellows will engage in a 1-2 year postdoctoral experience that furthers their career development in new ways. An application process will be implemented, and selection of successful applicants will be made using a technical program-committee style with strict adherence to conflicts of interest and based on a holistic evaluation of merit and diversity along many dimensions, with major emphasis on intellectual merit and broader impacts in applicant materials.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": "3974",
            "attributes": {
                "award_id": "1734006",
                "title": "JILA PFC: Measurement, Manipulation, and Meaning at the Quantum Frontier",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Mathematical and Physical Sciences (MPS)",
                    "PHYSICS FRONTIER CENTER"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 13201,
                        "first_name": "James",
                        "last_name": "Shank",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2017-09-01",
                "end_date": "2023-02-28",
                "award_amount": 16100000,
                "principal_investigator": {
                    "id": 13206,
                    "first_name": "Eric",
                    "last_name": "Cornell",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 172,
                            "ror": "",
                            "name": "University of Colorado at Boulder",
                            "address": "",
                            "city": "",
                            "state": "CO",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 13202,
                        "first_name": "Jun",
                        "last_name": "Ye",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 13203,
                        "first_name": "Andreas",
                        "last_name": "Becker",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 13204,
                        "first_name": "Cindy A",
                        "last_name": "Regal",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 172,
                    "ror": "",
                    "name": "University of Colorado at Boulder",
                    "address": "",
                    "city": "",
                    "state": "CO",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The next quantum revolution will involve understanding and controlling the properties and dynamics of increasingly large-sized quantum systems.  A better understanding of universal rules governing many-body quantum systems and deep understandings of more and more complex molecules will impact  areas of science beyond quantum physics, including condensed matter and material physics, chemical and biophysics, high-energy physics, astrophysics, and nuclear physics.  The Physics Frontiers Center (PFC) award to the JILA PFC will continue work begun during past PFC awards to harness interacting and interconnected atoms, molecules and photons to address frontier challenges presented by the complexity of quantum matter, and to probe elusive secrets of nature.  The center program will also train a large number of graduate students and postdoctoral scholars with cutting-edge expertise in Atomic, Molecular, and Optical related physics, and it will develop tools and techniques to enhance the Nation's technological infrastructure. The JILA PFC will contribute to connecting scientific communities, by hosting workshops and schools and through the JILA visitor program. Continuing efforts to expand the undergraduate research program and a predominantly minority-serving after-school program will allow the JILA PFC to contribute to attracting the next generation of all students into science.\n\nThe JILA PFC will capitalize on the development of extreme light sources and spectrographic techniques that have allowed the JILA PFC investigators to precisely engineer quantum states, probe complex interactions of atomic nuclei and electrons, and control matter in dynamic states far from equilibrium. The JILA PFC research is organized around four areas of research.  The first two focus on aspects of many-body physics, including the construction of quantum matter from basic constituents and the development of quantum resources for precision measurements of physical systems including strongly interacting quantum many-body systems.  The third area focuses on observations of coupled dynamics in different forms of matter, mainly solids and molecules, as well as the formation and transformation of constituents on unprecedented time scales, ranging from hundredths of a femtosecond to microseconds. The fourth area looks for opportunities to exchange ideas and technologies that could lead to projects outside of the central focus of the JILA PFC, but which would benefit either the core work of the PFC or other areas of science.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "5463",
            "attributes": {
                "award_id": "0551010",
                "title": "JILA AMO Physics Frontier Center",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Mathematical and Physical Sciences (MPS)",
                    "PHYSICS FRONTIER CENTER"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 19038,
                        "first_name": "Jean",
                        "last_name": "Allen",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2006-08-01",
                "end_date": "2012-07-31",
                "award_amount": 16167800,
                "principal_investigator": {
                    "id": 19041,
                    "first_name": "Eric",
                    "last_name": "Cornell",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 19039,
                        "first_name": "William C",
                        "last_name": "Lineberger",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 19040,
                        "first_name": "Deborah S",
                        "last_name": "Jin",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 172,
                    "ror": "",
                    "name": "University of Colorado at Boulder",
                    "address": "",
                    "city": "",
                    "state": "CO",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "JILA, an institute jointly operated by the University of Colorado and the National Institute for Standards and Technology (NIST), is one of the nations leading research institutes in the physical sciences.  The funds provided to JILA through the Physics Frontiers Centers (PFC) program support a collection of 19 senior investigators working at JILA in the broad area of atomic, molecular, and optical (AMO) physics and closely related topics. The PFC-supported activities encompass four major themes that are identified as focus components: ultracold atom science, cold molecules, novel spectroscopies, and education and outreach. In each of the four components, the proposed program builds upon past successes while at the same time allowing the participation of five new young investigators. The research components have strong overlap and are intimately connected in their technology base as well as their scientific goals. Moreover, each of the AMO research components includes both a number of related experimental projects and associated theoretical activities. The unity of the efforts in JILA is reflected in the fact that most of the JILA investigators lead projects in more than one of the components.\n\nJILAs success has and will continue to be driven by the powerful combination of state-of-the-art technology development coupled with fundamental scientific advances. Work in ultracold atoms science will build on JILAs expertise in both Bose-Einstein condensation and quantum degenerate Fermi gases. Future efforts will continue to explore and take full advantage of tools such as magnetic-field Feshbach resonances and optical lattices that allow for exquisite control over these systems. In work on cold molecules, JILA will continue to lead efforts to develop and apply novel tools for the manipulation and quantum control of molecules on varying scales of size and complexity. Broad goals include selectively encouraging one outcome of a chemical reaction over another, producing molecules in desired (perhaps exotic) states, tracking the flow of energy among molecular constituents, and assessing the influence of solvent molecules by adding them one at a time. Work on novel spectroscopy will advance JILAs technical capabilities with objectives that include the development of novel femtosecond spectroscopies and high-resolution photoelectron instruments. In addition, JILA will apply its AMO expertise to a few scientific challenges that go beyond the study and control of atoms and simple molecules. This work includes the application of laser technology and spectroscopic techniques to the study of more complex and biologically important molecular systems, and in addition an investigation of quantum coherence in nanoscale devices. JILAs education and outreach efforts will include human resource development and outreach activities, as well as a new physics education research effort that will utilize the expertise of the JILA investigators and seeks to develop better ways to convey AMO science to all students.  Partial funding for the education research efforts is provided by the Division of Research, Evaluation and Communication.\n\nThe JILA program conducted through this support will have many different broader impacts. It will enhance the technical infrastructure by developing many new laser-based tools and techniques, and by producing many graduates who are highly trained not only in AMO physics but also in technical communication and teaching skills. It will also attract more students into science, particularly from under-represented groups, through a vigorous undergraduate research program and a summer research program for faculty and students from predominantly minority-serving institutions. It will contribute to general science interest and literacy through a variety of programs that include presenting the very popular science Wizards show for school children, developing exhibits on light and color for a new science museum, and having suitably trained graduate students present science topics to Colorado 8-10th grade science classes. It will also research, develop, and broadly disseminate better ways to teach AMO science to all students, particularly through on-line interactive simulations.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "8772",
            "attributes": {
                "award_id": "1P01AI158571-01A1",
                "title": "Design and Development of a Pan-betacoronavirus Vaccine",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Institute of Allergy and Infectious Diseases (NIAID)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 6908,
                        "first_name": "JENNIFER L.",
                        "last_name": "Gordon",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-09-16",
                "end_date": "2024-08-31",
                "award_amount": 17521953,
                "principal_investigator": {
                    "id": 24574,
                    "first_name": "Barton F.",
                    "last_name": "Haynes",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 246,
                            "ror": "https://ror.org/00py81415",
                            "name": "Duke University",
                            "address": "",
                            "city": "",
                            "state": "NC",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 246,
                    "ror": "https://ror.org/00py81415",
                    "name": "Duke University",
                    "address": "",
                    "city": "",
                    "state": "NC",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "- Overall Compared to SARS-CoV-1 and MERS, the current SARS-CoV-2 virus is highly transmissible and to date has caused over 85,000,000cases worldwidewith over 1,800,000 deaths. With an endemic population of multipleother strains of CoVs in bats, rodents with intermediate hosts, civets and pangolins, and because of the ability of CoVs to recombine, it is a certainty that new CoVs with infectious potential for humans will cause future human pandemics. To address this problem in a focused and integrated way, this P01 team of virologists, immunologists, computational biologists, structural biologists, biophysicists, evolutionary biologists, and traditional vacci nologists will develop panbetacoronavirus (panbetaCoV) vaccines, including Merbecoviruses (group 2c), which gave rise to MERS, and Sarbecoviruses (group 2b), which gave rise to SARS CoV-1 and SARS CoV-2, the three most deadly betaCoV human outbreaks. The Significance of this grant is that it will provide for panbetaCoV vaccines for future epidemics that can be immediately available at the onset of a betaCoV pandemic, avoiding much of the human tragedy and social disruption caused by a pandemic. The Overall Specific Aims of the P01 are: Aim 1. Develop and characterize immunogenicity of PanbetaCoV Sarbecovirus (Group 2b) vaccine candidates. Aim 2. Determine Group 2b vaccine candidate protection capacity against group 2b panel of viruses. Aim 3. Develop PanbetaCoVMerbecovirus (group2c) vaccine candidates, determinetheir immunogenicity, cross- reactivity with other betaCoVs and protection capacity against group 2c panel of viruses. This program project grant includes four projects. Project 1 will design vaccines in alphavirus replicon particle (VRP) vaccine system, develop and test P01 vaccines in their unique mouse CoV challenge models. Project 2 will use structure-based molecular modeling and monomer and multimer nanoparticle spike protein designs and test in wild-type mouse models. Project 3 will both design CoV vaccines and test vaccine designs expressed as mRNAs in liquid nanoparticles (LNPs). Project 4 will computationally design B and T cell panbetaCoV vaccines. This P01 proposes three Cores: an Administrative Core, a Biocontainment and Immune Monitoring Core, and a Non-human Primate Core. Work in this P01 will provide panbetaCoV vaccines to protect against escape mutants of SARS-CoV-2 in the current epidemic, and will be available to protect society against new betaCoVs that might emerge to infect humans in the future.",
                "keywords": [
                    "2019-nCoV",
                    "Address",
                    "Aerosols",
                    "Alphavirus",
                    "Animal Model",
                    "Animals",
                    "Antibodies",
                    "Antigens",
                    "B-Lymphocytes",
                    "COVID-19",
                    "Cessation of life",
                    "Chiroptera",
                    "Cold Chains",
                    "Combined Vaccines",
                    "Coronavirus",
                    "Development",
                    "Disease",
                    "Disease Outbreaks",
                    "Dose",
                    "Epidemic",
                    "Epitopes",
                    "Escape Mutant",
                    "Event",
                    "Future",
                    "Goals",
                    "Grant",
                    "Human",
                    "Immune",
                    "Immune response",
                    "Immunologic Monitoring",
                    "Immunologist",
                    "Laboratories",
                    "Liquid substance",
                    "Macaca",
                    "Macaca fascicularis",
                    "Macaca mulatta",
                    "Measures",
                    "Messenger RNA",
                    "Middle East Respiratory Syndrome",
                    "Modeling",
                    "Monitor",
                    "Mus",
                    "Mutate",
                    "Mutation",
                    "N-terminal",
                    "Nucleosides",
                    "Population",
                    "Program Research Project Grants",
                    "Protein Engineering",
                    "Proteins",
                    "Regimen",
                    "Replicon",
                    "Resource Sharing",
                    "Resources",
                    "Rodent",
                    "SARS coronavirus",
                    "Societies",
                    "Structural Biologist",
                    "Structure",
                    "System",
                    "T-Lymphocyte",
                    "Testing",
                    "Vaccination",
                    "Vaccine Design",
                    "Vaccines",
                    "Virus",
                    "Viverridae",
                    "Wild Type Mouse",
                    "Work",
                    "base",
                    "betacoronavirus",
                    "betacoronavirus vaccine",
                    "coronavirus vaccine",
                    "cross reactivity",
                    "design",
                    "immunogenicity",
                    "lipid nanoparticle",
                    "molecular modeling",
                    "monomer",
                    "mouse model",
                    "nanoparticle",
                    "neutralizing antibody",
                    "nonhuman primate",
                    "novel",
                    "novel coronavirus",
                    "pandemic disease",
                    "particle",
                    "programs",
                    "protective efficacy",
                    "receptor binding",
                    "respiratory",
                    "social",
                    "vaccine candidate",
                    "vaccine evaluation",
                    "zoonotic spillover"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "7530",
            "attributes": {
                "award_id": "3OT2HL156812-01S4",
                "title": "ACTIV Integration of Host-targeting Therapies for COVID-19 Administrative Coordinating Center",
                "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": 7612,
                        "first_name": "ANTONELLO",
                        "last_name": "PUNTURIERI",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-06-15",
                "end_date": "2022-05-31",
                "award_amount": 17693191,
                "principal_investigator": {
                    "id": 7614,
                    "first_name": "Sonia M",
                    "last_name": "Thomas",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 809,
                            "ror": "",
                            "name": "RESEARCH TRIANGLE INSTITUTE",
                            "address": "",
                            "city": "",
                            "state": "NC",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 809,
                    "ror": "",
                    "name": "RESEARCH TRIANGLE INSTITUTE",
                    "address": "",
                    "city": "",
                    "state": "NC",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "RTI International is pleased to provide this application as requested by the Research Opportunities Announcement OTA-20-011 ACTIV Integration of Host-targeting Therapies for COVID-19 for the role of Administrative Coordinating Center (ACC). The title of our application is ACTIV Integration of Host-targeting Therapies for COVID-19 Administrative Coordinating Center. The Integration of Host-targeting Therapies for COVID-19 Program aims to identify COVID-19 interventions relevant to heart, lung, blood, and cardiovascular outcomes that contribute to the scientific knowledge base are likely to inform clinical practice. This Program will rapidly and efficiently conduct adaptive platform trials via a coordinated effort of Data Coordinating Centers and clinical sites from existing Clinical Study Networks. The ACC is a critical component of the Program. We will coordinate with NHLBI to ensure collaboration among networks including the use of standardized approaches in clinical trial design and conduct, data collection and validation, and statistical analysis such that studies are launched, implemented and analyzed swiftly; and study findings are scientifically sound and meet regulatory needs for medical therapy development. As the ACC, we will also serve the vital role of facilitating communication and information sharing among all relevant stake holders and helping NHLBI in tracking study-specific and Program-wide milestones. Sonia Thomas, DrPH, will lead the ACC as Principal Investigator. She is an experienced CC PI and statistician with 25 years of experience in the design, implementation, and analysis of multicenter NIHand industry-sponsored Phase 2-4 clinical trials of drugs, biologics, devices, surgical and behavioral interventions in more than a dozen therapeutic indications. Dr. Thomas will be supported by Tracy Nolen, DrPH as Alternate PI, an experienced Consortium and CC PI and clinical trial statistician, and subject matter experts Steve Nissen, MD, Cleveland Clinical Chief Academic Officer, Heart and Vascular Institute, Shannon Carson, MD, Univ. of North Carolina Chief of Pulmonary and Critical Care Medicine, and Anastasia Ivanova, PhD, Univ. of North Carolina Professor of Biostatistics Under Dr Thomas’s direction, our team will lead, support, and collaborate with Program Networks through organization into 6 ACC Cores: Program Operations, Scientific Leadership and Prioritization, Informatics, Data Standards, Study Design, Implementation, & Analysis, and Regulatory and QA. We have identified milestones for the essential activities of the ACC within each of these 6 Cores with a detailed focus on the activities in the first 6 months as activities completed during this time are most important for ensuring the coordinated, expedited and efficient launch of this Program. Dr. Thomas, our subject matter experts, senior statistical scientists, and many of the core leads have substantial experience with NHLBI and thus understand the needs and priorities of the Institute and will use this knowledge to better collaborate with NHLBI and further speed up the launch of this Program. We are willing to collaborate with all involved entities as part of the overarching trans-NIH ACTIV Program as it evolves. We recognize and anticipate that swift adaptation will be required to rapidly respond to the urgent clinical research needs to address the COVID-19 pandemic. RTI is uniquely and substantially qualified for the ACC. We will use our team’s broad experience from many complex coordinating center projects to anticipate the needs for this Program and “hit the ground running”. Proven informatics technology in use by existing NIH programs will be swiftly modified by our analysts for speedy deployment of communications platforms. Our organizational size and flexibility will allow us to ramp up quickly and modify personnel resources flexibly. Lastly, RTI has a proven track record of successful collaborations with other coordinating centers on complex programs, yet as we are not directly involved with any Networks for consideration to be NHLBI COVID-19 trials sites, we provide independence and objectivity to the Program.",
                "keywords": [
                    "Address",
                    "Adoption",
                    "Area",
                    "Behavior Therapy",
                    "Biological",
                    "Biometry",
                    "Blood",
                    "COVID-19",
                    "COVID-19 pandemic",
                    "Cardiovascular system",
                    "Clinic",
                    "Clinical",
                    "Clinical Research",
                    "Clinical Trials",
                    "Clinical Trials Design",
                    "Clinical Trials Network",
                    "Collaborations",
                    "Communication",
                    "Complex",
                    "Consensus",
                    "Critical Care",
                    "Data Collection",
                    "Data Coordinating Center",
                    "Development",
                    "Devices",
                    "Doctor of Philosophy",
                    "Documentation",
                    "Effectiveness",
                    "Ensure",
                    "Funding",
                    "Goals",
                    "Heart",
                    "Human Resources",
                    "Image",
                    "Industry",
                    "Informatics",
                    "Information Dissemination",
                    "Infrastructure",
                    "Institutes",
                    "International",
                    "Intervention",
                    "Knowledge",
                    "Lead",
                    "Leadership",
                    "Lung",
                    "Medical",
                    "Medicine",
                    "National Heart  Lung  and Blood Institute",
                    "North Carolina",
                    "Online Systems",
                    "Operative Surgical Procedures",
                    "Outcome",
                    "Pharmaceutical Preparations",
                    "Phase",
                    "Principal Investigator",
                    "Process",
                    "Ramp",
                    "Reporting",
                    "Research",
                    "Research Design",
                    "Resources",
                    "Role",
                    "Running",
                    "Scientist",
                    "Site",
                    "Speed",
                    "Standardization",
                    "Statistical Data Interpretation",
                    "Technology",
                    "Therapeutic",
                    "Time",
                    "United States National Institutes of Health",
                    "Universities",
                    "Validation",
                    "clinical practice",
                    "clinical research site",
                    "data harmonization",
                    "data quality",
                    "data standards",
                    "design",
                    "experience",
                    "flexibility",
                    "informatics tool",
                    "insight",
                    "knowledge base",
                    "operation",
                    "professor",
                    "programs",
                    "protocol development",
                    "sound",
                    "targeted treatment",
                    "therapy development"
                ],
                "approved": true
            }
        }
    ],
    "meta": {
        "pagination": {
            "page": 1384,
            "pages": 1392,
            "count": 13920
        }
    }
}