Represents Grant table in the DB

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    "data": [
        {
            "type": "Grant",
            "id": "4096",
            "attributes": {
                "award_id": "1607069",
                "title": "2016 Cellular & Molecular Fungal Biology GRC, Plymouth, New Hampshire, June 19-24, 2016",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Biological Sciences (BIO)",
                    "Symbiosis Infection & Immunity"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 13758,
                        "first_name": "Michael",
                        "last_name": "Mishkind",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2016-07-01",
                "end_date": "2017-06-30",
                "award_amount": 15000,
                "principal_investigator": {
                    "id": 13759,
                    "first_name": "Amy",
                    "last_name": "Gladfelter",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
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                    "affiliations": [
                        {
                            "id": 226,
                            "ror": "https://ror.org/05rad4t93",
                            "name": "Gordon Research Conferences",
                            "address": "",
                            "city": "",
                            "state": "RI",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 226,
                    "ror": "https://ror.org/05rad4t93",
                    "name": "Gordon Research Conferences",
                    "address": "",
                    "city": "",
                    "state": "RI",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This project will facilitate the attendance and participation of early career scientists in the Gordon Research Conference on Cellular and Molecular Fungal Biology to be held at the Holderness School, June 19-24, 2016. The goal of the conference is to disseminate information about fungal biology among an interdisciplinary group of researchers, and to increase our collective understanding of basic fungal biology and its application to socially important problems.  Fungi are essential parts of the terrestrial nutrient cycle, play a central role in the development of biofuels, and produce many critically important chemicals.  These diverse applications of fungi require the interdisciplinary acquisition and application of fundamental fungal biology.  This project will support the convergence and exchange of new findings amongst an interdisciplinary group of scientists dedicated to the study of fungi.  \n\nThe intellectual merit of the project is rooted in the meeting's highly interdisciplinary and interactive format. The meeting will feature topics that integrate multiple time and space scales for different questions in fungal biology to promote interactions amongst researchers with diverse perspectives within the community. There is a specific emphasis on integrating mathematical modeling and biophysics as a new addition to this meeting and an entire session is dedicated to the interface of fungal biology with the physical sciences. The meeting enables cross-fertilization of ideas, from cell biology to evolution, that occurs in and outside of the sessions and especially between junior and senior scientists.  Young investigators emphasize from previous meetings how interactive the conference is and how responsive it is to the presentation of their work.\n\nThis conference has broad impacts on training and is dedicated to extending the research community by emphasizing women and members of underrepresented groups in inviting speakers. The current invited speakers are approximately 50% women, including several Latinas.  The small size of the meeting and the emphasis on discussion (40% of meeting time is dedicated to discussions) encourages active participation. Poster sessions are featured without competing events to focus attention on the most junior scientists, who often have the newest data. The GRC on Cell and Molecular Fungal Biology also is dedicated to research that applies basic knowledge to socially important questions involving filamentous fungi, particularly mutualisms with plants (mycorrhizae), parasitism with plants (plant pathology) and animals (animal pathology), and industrial mycology (enzyme production). The interactions among researchers focused on both basic and socially important research speeds research aimed at solving societal problems caused by or that can be improved by fungi.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "768",
            "attributes": {
                "award_id": "2050640",
                "title": "Planning Virtual Strategies to Prepare Science and Mathematics Teachers in Mississippi",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Education and Human Resources (EHR)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 1805,
                        "first_name": "Susan",
                        "last_name": "Carson",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-03-01",
                "end_date": "2023-02-28",
                "award_amount": 124992,
                "principal_investigator": {
                    "id": 1809,
                    "first_name": "Mitchell M",
                    "last_name": "Shears",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 396,
                            "ror": "https://ror.org/01ecnnp60",
                            "name": "Jackson State University",
                            "address": "",
                            "city": "",
                            "state": "MS",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 1806,
                        "first_name": "Abu O",
                        "last_name": "Khan",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 1807,
                        "first_name": "Alicia K",
                        "last_name": "Jefferson",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                    },
                    {
                        "id": 1808,
                        "first_name": "Nadine",
                        "last_name": "Gilbert",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 396,
                    "ror": "https://ror.org/01ecnnp60",
                    "name": "Jackson State University",
                    "address": "",
                    "city": "",
                    "state": "MS",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This project aims to serve the national need for skilled secondary science and mathematics teachers in high-need school districts.  To do so, the project seeks to lay the foundation for secondary-education certification programs adapted to the novel demands of pre- and post-COVID teaching/learning environments.  Conceived initially as a response to the COVID-19 pandemic, the project aims to use technology and virtual approaches to deliver remote learning opportunities for future teachers.  As such, the project will enable Jackson State University to explore the feasibility of a large-scale effort to increase use of evidence-based, distance-learning strategies in teacher education.  Examples of strategies include virtual simulations, digital credentialing, and online social and emotional learning.  The work will be situated in the urban setting of the Mississippi State capital. This project at Jackson State University includes partnerships with Hinds Community College and Jackson Public Schools, a high-need school district. The long-term goal of this collaborative effort is plan how to recruit, support, and graduate teachers who will help meet the shortage of science and mathematics teachers at high-need schools often staffed by rotating long- and short-term substitute teachers. The project builds on the conceptual framework of Jackson State’s College of Education and Human Development vision of the “responsive educator” who provides and embodies: 1) a Committed Response; 2) a Knowledgeable Response; 3) a Skillful Response; and 4) a Professional Response. Additionally, the project builds on the current infrastructure of the University’s Physics and Mathematics Education curriculum. The goals of this Capacity Building project are to: 1) develop evidence-based innovative models and strategies for recruiting, preparing, and supporting teachers; 2) create plans for collecting data to determine need, interest, and capacity for increasing STEM teacher development; and 3) establish the infrastructure for preparing a Track 1: Scholarship & Stipend proposal in the future. This Capacity Building project is supported through the Robert Noyce Teacher Scholarship Program (Noyce). The Noyce program supports talented STEM undergraduate majors and professionals to become effective K-12 STEM teachers and experienced, exemplary K-12 teachers to become STEM master teachers in high-need school districts. It also supports research on the persistence, retention, and effectiveness of K-12 STEM teachers in high-need school districts.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": "10240",
            "attributes": {
                "award_id": "1R44AI170392-01",
                "title": "SARS-CoV-2 vaccines based on RBDs with engineered glycosylation sites",
                "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": "2022-08-08",
                "end_date": "2023-01-31",
                "award_amount": 300000,
                "principal_investigator": {
                    "id": 26186,
                    "first_name": "MICHAEL DAVID",
                    "last_name": "ALPERT",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 21748,
                        "first_name": "Michael R.",
                        "last_name": "Farzan",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                        "affiliations": [
                            {
                                "id": 1472,
                                "ror": "",
                                "name": "SCRIPPS FLORIDA",
                                "address": "",
                                "city": "",
                                "state": "FL",
                                "zip": "",
                                "country": "United States",
                                "approved": true
                            }
                        ]
                    }
                ],
                "awardee_organization": {
                    "id": 1900,
                    "ror": "",
                    "name": "EMMUNE, INC",
                    "address": "",
                    "city": "",
                    "state": "FL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "We are developing vaccine antigens for SARS-CoV-2 that focus the antibody response onto neutralizing epitopes in the receptor binding domain (RBD) of the viral Spike (S) protein. Efficient expression of the RBD in technically-demanding formats, e.g., on a self-assembling multimer scaffold, was achieved by engineering N-linked glycosylation sites into the RBD. The engineered N-linked glycosylation sites occlude hydrophobic patches that form inter-subunit interfaces in the native S protein, but that interfere with expression of the RBD in other contexts. The glycans also help to focus the immune response away from off-target faces of the RBD, and onto the targets for potent neutralizing antibody responses. We will extend the potential for this strategy to focus the neutralizing antibody response further, onto conserved epitopes in the RBD. This overall strategy maximizes the focusing of neutralizing antibody responses onto epitopes that are conserved among variants of SARS-CoV-2. In addition, we will compare, and possibly combine, immunofocusing with approaches designed to elicit variant-specific neutralizing antibodies. We will develop and utilize two distinct platforms for expressing these RBD antigens: mRNA delivered by lipid nanoparticles (LNPs), and a novel scaffold for efficiently displaying multimers of RBD antigens as recombinant protein. LNP-mRNA vaccines have the advantage of being a validated approach for vaccinating against SARS-CoV-2, whereas the novel multimer scaffold has the advantage of being heat stable after lyophilization. The antigens generated by this project exploit three layers of immunofocusing to elicit or boost antibody responses that neutralize diverse variants of SARS-CoV-2.",
                "keywords": [
                    "2019-nCoV",
                    "Amino Acids",
                    "Antibody Response",
                    "Antibody titer measurement",
                    "Antigens",
                    "Baculovirus Expression System",
                    "Baculoviruses",
                    "COVID-19 vaccination",
                    "COVID-19 vaccine",
                    "Cytoplasmic Protein",
                    "Cytoplasmic Tail",
                    "Data",
                    "Development",
                    "Dose",
                    "Engineering",
                    "Epitopes",
                    "Face",
                    "Family",
                    "Ferritin",
                    "Freeze Drying",
                    "Grant",
                    "Helicobacter pylori",
                    "Human",
                    "Hydrophobicity",
                    "Immune response",
                    "Infection",
                    "Length",
                    "Link",
                    "Mass Spectrum Analysis",
                    "Mesocricetus auratus",
                    "Messenger RNA",
                    "Mosaicism",
                    "Mus",
                    "Pathway interactions",
                    "Phase",
                    "Polysaccharides",
                    "Population",
                    "Production",
                    "Property",
                    "Prophylactic treatment",
                    "Proteins",
                    "Protocols documentation",
                    "Protomer",
                    "RNA vaccine",
                    "Recombinant Proteins",
                    "SARS-CoV-2 antigen",
                    "SARS-CoV-2 spike protein",
                    "SARS-CoV-2 variant",
                    "Saline",
                    "Site",
                    "Subunit Vaccines",
                    "System",
                    "Testing",
                    "Transmembrane Domain",
                    "Vaccine Antigen",
                    "Vaccines",
                    "Variant",
                    "Viral",
                    "base",
                    "cost",
                    "design",
                    "experimental study",
                    "glycosylation",
                    "head-to-head comparison",
                    "immunogenic",
                    "immunogenicity",
                    "improved",
                    "lipid nanoparticle",
                    "neutralizing antibody",
                    "novel",
                    "receptor binding",
                    "receptor expression",
                    "reconstitution",
                    "scaffold",
                    "thermophilic organism",
                    "thermostability",
                    "vaccine development",
                    "vaccine efficacy",
                    "variants of concern"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "8704",
            "attributes": {
                "award_id": "1U01HL158759-01",
                "title": "The effect of SARS-CoV-2 on the susceptibility of respiratory outcomes in a Puerto Rican Birth Cohort",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Heart Lung and Blood Institute (NHLBI)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 22703,
                        "first_name": "Michelle M",
                        "last_name": "Freemer",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                    }
                ],
                "start_date": "2021-09-20",
                "end_date": "2022-07-31",
                "award_amount": 646280,
                "principal_investigator": {
                    "id": 24488,
                    "first_name": "LUISA N",
                    "last_name": "BORRELL",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
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                        {
                            "id": 768,
                            "ror": "https://ror.org/043mz5j54",
                            "name": "University of California, San Francisco",
                            "address": "",
                            "city": "",
                            "state": "CA",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 24489,
                        "first_name": "Esteban Gonzalez",
                        "last_name": "Burchard",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                        "affiliations": []
                    },
                    {
                        "id": 24490,
                        "first_name": "JOSE",
                        "last_name": "RODRIGUEZ-SANTANA",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 768,
                    "ror": "https://ror.org/043mz5j54",
                    "name": "University of California, San Francisco",
                    "address": "",
                    "city": "",
                    "state": "CA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is responsible for the COVID-19 pandemic. The lack of diagnostic tests and current public health policies limit our knowledge of the true prevalence of SARS- CoV-2. Infection with SARS-CoV-2 results in production of anti-viral antibodies in infected hosts, yet it is currently unknown whether these antibody responses are protective against subsequent infection. Survivors of the 2003 SARS coronavirus outbreak had reduced lung function and quality of life, and more frequent viral respiratory illnesses. The latter are associated with increased risk for childhood wheeze and asthma, the most common chronic and disparate disease among children. Data also indicate that there are significant racial/ethnic disparities in COVID-19 outcomes. Disparities in risk of viral exposure, susceptibility to severe disease, and access to health care may interact to exacerbate existing health inequalities. Pregnancy provides a natural mechanism by which to examine the protective potential of passive immunity. Maternal IgG is actively transported across the placenta and in the absence of postnatal exposure wane to undetectable levels in the neonate over the first year of life. Furthermore, IgA is passed from mother to child through breastmilk. Our multidisciplinary team will study a unique cohort of Puerto Rican mothers and their infants prospectively following the infants through their first five years of life collecting maternal breastmilk, maternal and neonatal cord blood, and neonatal/infant nasal epithelium swabs at birth, during respiratory illness, and at yearly clinical evaluations. We will determine prenatal exposure to SARS-CoV-2 as measured from maternal and infant cord blood at time of birth and investigate the effect this virus has on the susceptibility of respiratory disease in children. We will screen all pre/postpartum mothers with a PCR assay and qualitative immunoassay to detect SARS-CoV-2 infection. Among all seropositive mothers, we will collect repeated breast milk samples at 5 and 14 days and serial newborn blood spot samples at birth, 1, 3, 6 months, and yearly for 5 years. We will measure IgA, IgG, and IgM in maternal breastmilk and blood samples, and IgG in infant serum. We will examine (Aim 1) the passive transfer of SARS-CoV-2 immunity from seropositive mothers to their neonates, (Aim 2) whether early life SARS- CoV-2 infection severity and other clinical sequelae is modified by altered childhood immunophenotypes and host genetics, and (Aim 3) how socio-environmental factors affect maternal and infant exposure to COVID-19 and further affect the development of childhood asthma. We hypothesize that pregnant women infected with SARS-CoV-2 produce neutralizing antibodies, which protect their newborns from COVID-19 disease. In contrast, infants who contract SARS-CoV-2 after birth are at increased risk for later respiratory disease including asthma and other clinical sequelae. We further postulate that these associations are modified by host genetic and socio- environmental factors. To our knowledge, there are no other groups within or outside the U.S. with the population needed and track record to perform these analyses.",
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                    "21 year old",
                    "5 year old",
                    "Active Biological Transport",
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                    "COVID-19 detection",
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                    "COVID-19 mortality",
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                    "Health Services Accessibility",
                    "Human Milk",
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                    "Immunoglobulin A",
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                    "Immunoglobulin M",
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                    "SARS-CoV-2 exposure",
                    "SARS-CoV-2 immunity",
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        },
        {
            "type": "Grant",
            "id": "1280",
            "attributes": {
                "award_id": "2032016",
                "title": "RAPID: Interaction of the Coronavirus M protein with a Myosin V  motor protein",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Biological Sciences (BIO)"
                ],
                "program_reference_codes": [
                    "096Z",
                    "7465",
                    "7914"
                ],
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                    {
                        "id": 3294,
                        "first_name": "Matt",
                        "last_name": "Buechner",
                        "orcid": null,
                        "emails": "",
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                        "keywords": null,
                        "approved": true,
                        "websites": null,
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                    }
                ],
                "start_date": "2020-08-01",
                "end_date": "2021-07-31",
                "award_amount": 200000,
                "principal_investigator": {
                    "id": 3295,
                    "first_name": "James",
                    "last_name": "Goldenring",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 456,
                            "ror": "https://ror.org/05dq2gs74",
                            "name": "Vanderbilt University Medical Center",
                            "address": "",
                            "city": "",
                            "state": "TN",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 456,
                    "ror": "https://ror.org/05dq2gs74",
                    "name": "Vanderbilt University Medical Center",
                    "address": "",
                    "city": "",
                    "state": "TN",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The COVID-19 coronavirus represents one of the most acute and dangerous threat to global health in a century.  The present COVID-19 outbreak is caused by the SARS-CoV-2 virus and is exacerbated by our present inability to inhibit the assembly of virus inside cells, which affects the spread of coronavirus within human patients.  SARS-Cov-2 is a member of a family of related coronaviruses that includes SARS, MERS, and Mouse Hepatitis Virus (MHV).  These are RNA viruses wrapped in a lipid membrane, which has a number of different proteins embedded in it.   In general however, relatively little is known about how viral proteins are packaged together inside human cells to assemble coronavirus particles.  This lack of knowledge impedes the development of strategies that could target the assembly of virus particles inside human cells.  However, one membrane protein encoded by the virus, designated  the M protein because of its membrane association, serves as the starting seed for the assembly of all the other coronavirus proteins.  It has recently been discovered that the tail of the MHV version of the M protein can interact with a motor protein used for trafficking inside human cells.  Because the sequence of the M-protein tails in this class of coronaviruses is very conserved, this project seeks to determine if this interaction is generalizable among SARS-CoV-2, and other related coronaviruses.  If this interaction is present in SARS-CoV-2, then this project will identify the parts of the M protein that interact with the myosin motor.  This would allow future research to evaluate drugs that can interrupt this interaction, which may alter the ability of the SARS-CoV-2 and other coronaviruses to assemble and spread.  As a Broader Impact, the Project will provide critically needed information for fight the Covid-19 pandemic.  Relatively little is known about the processes required for the assembly of coronavirus virions in human cells.  The family of beta-coronaviruses, including SARS-CoV-2, SARS, MERS and MHV all utilize a similar compendium of proteins, including a membrane glycoprotein protein, termed the M protein.  M protein serves as the nidus for assembly of other coronavirus proteins into the mature virus particle.  This project seeks to expand on the recent finding that the M-protein of MHV interacts with a specific 26 amino acid alternatively spliced exon of Myosin Vb (MYO5B), termed exon D.  This observation is the first to identify a key intracellular trafficking protein that interacts with the M protein.  This project seeks to identify whether this interaction is preserved in the M proteins of other beta-coronavirus family members, including the SARS-CoV-2 virus.  The Project will also determine the molecular basis of the interaction between M protein and Exon D of MYO5B.  The Project will first utilize yeast 2-hybrid assays to evaluate the binding of the internal tails of SARS-CoV-2 (COVID-19), SARS and MERS and other related coronaviruses.  Second, random mutagenesis of the coronavirus tails will be utilized to determine the common amino acid motifs used for interaction with MYO5B Exon D.  Third, wild type and mutant coronavirus proteins will be expressed in HeLa cells, and mutations that block interactions with MYO5B on M protein will be evaluated for their effects on trafficking through the endoplasmic reticulum, the Golgi apparatus and to the plasma membrane. If verified with the SARS-CoV-2 M protein, the site of interaction with MYO5b Exon D could be utilized as a target for disruption of the assembly of coronavirus virions.  This RAPID Project is expected to provide insights for the future development of molecular strategies to disrupt virion assembly in host cells, which could lead to new therapeutics for the treatment of Covid-19.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": "2816",
            "attributes": {
                "award_id": "1925596",
                "title": "CC* Compute: Accelerating Computational Research for Engineering and Science (ACRES) at Clarkson University, A Campus Cluster Proposal",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Computer and Information Science and Engineering (CISE)",
                    "Campus Cyberinfrastructure"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 8385,
                        "first_name": "Kevin",
                        "last_name": "Thompson",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2019-07-01",
                "end_date": "2021-06-30",
                "award_amount": 396950,
                "principal_investigator": {
                    "id": 8387,
                    "first_name": "Joshua",
                    "last_name": "Fiske",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 597,
                            "ror": "https://ror.org/03rwgpn18",
                            "name": "Clarkson University",
                            "address": "",
                            "city": "",
                            "state": "NY",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 8386,
                        "first_name": "Brian",
                        "last_name": "Helenbrook",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 597,
                    "ror": "https://ror.org/03rwgpn18",
                    "name": "Clarkson University",
                    "address": "",
                    "city": "",
                    "state": "NY",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Clarkson University is building a computational cluster (ACRES: Accelerating Computation Research for Engineering and Science) to support data and computationally intensive projects aligned with Clarkson's four interdisciplinary research themes: Data Analytics, Healthy World Solutions, Advanced Materials Development, and Next Generation Healthcare. ACRES facilitates the conduct of high-impact, collaborative research that requires access to high-performance computing (HPC) resources, enables research currently not practical/feasible, and also supports student-learning opportunities through credit-bearing courses, undergraduate research, and an existing NSF REU site focusing on HPC. As a campus resource, ACRES is made available to any faculty member or student at the University according to queueing policies implemented to ensure fair-access. And, ACRES supports Clarkson's increased focus on computational research and a cluster hire of computationally active faculty. \n\nThe ACRES compute cluster replaces an existing, five-year-old high-performance compute cluster whose computational capacity provided 1.05M core-h/yr. Research need for computational capacity has grown to an identified total of 8.5M core-h/yr. ACRES is sized to meet current demands and modest near-term growth with unused computational capacity being shared via the Open Science Grid (OSG) to benefit the broader scientific community. This new computational resource provides 9.8M core-h/year through 1120 cores, high-speed Infiniband interconnect, four NVIDIA Tesla V100 GPUs, and 40 TB of scratch storage.\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": "6144",
            "attributes": {
                "award_id": "3R01MD012421-03S1",
                "title": "Influence of patient-centered HIV care on retention and viral suppression disparities",
                "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": 20877,
                        "first_name": "Richard",
                        "last_name": "Berzon",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2019-01-29",
                "end_date": "2023-11-30",
                "award_amount": 268162,
                "principal_investigator": {
                    "id": 20878,
                    "first_name": "MARY JO JO",
                    "last_name": "TREPKA",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 207,
                    "ror": "https://ror.org/02gz6gg07",
                    "name": "Florida International University",
                    "address": "",
                    "city": "",
                    "state": "FL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "People with human immunodeficiency virus (HIV) are at increased risk of COVID-19 complications due to underlying immunosuppression and comorbidities and thus can significantly benefit from COVID-19 vaccination. People with HIV (PWH) are also more likely to belong to racial/ethnic minorities that have been disproportionately burdened by the COVID-19 pandemic and are currently underrepresented among vaccinated individuals. The objective of this study is to identify points of intervention to increase COVID-19 vaccine uptake among African American, Hispanic, and Haitian PWH. To achieve this objective, we will conduct a mixed methods study involving a sample of 129 Hispanics, 116 African Americans and 53 Haitians with HIV who were previously interviewed from October 2020 to January 2021 about the effect of the COVID- 19 pandemic on their health and wellbeing and their HIV care (Wave 1). The current supplement (Wave 2) will extend the previous study by determining COVID-19 vaccine uptake and factors associated with vaccine uptake. The survey questions will collect quantitative data about factors associated with vaccination using both the Health Belief Model (e.g., perceived susceptibility to COVID-19, perceived severity of COVID-19, perceived barriers and benefits of COVID-19 vaccination, and cues to action) and the Social Ecological Model (i.e., potential intrapersonal, interpersonal, and community/institutional-level factors associated with COVID-19 vaccine uptake). Data from the survey will also be used to identify the extent to which COVID-19 vaccination improves psychosocial (e.g., COVID-19 related worry) and socioeconomic (e.g., reduced income) stressors. Furthermore, we will conduct exploratory analyses to assess the association between vaccination and retention in HIV care and viral suppression. Subsequently, we will ask a sample of vaccinated and unvaccinated survey respondents to participate in semi-structured in-depth interviews to clarify quantitative findings and identify points of intervention. Findings from this study will guide vaccination promotion messages for racial/ethnic minorities with HIV, guide vaccination delivery methods (e.g., vaccination in HIV care settings), and elucidate the potential role of COVID-19 vaccination in improving the health and wellbeing of people with HIV.",
                "keywords": [
                    "African American",
                    "Anxiety",
                    "COVID-19",
                    "COVID-19 mortality",
                    "COVID-19 pandemic",
                    "COVID-19 severity",
                    "COVID-19 vaccination",
                    "COVID-19 vaccine",
                    "Caring",
                    "Case Manager",
                    "Client",
                    "Communities",
                    "Cross-Sectional Studies",
                    "Cues",
                    "Data",
                    "Depressed mood",
                    "Feeling",
                    "HIV",
                    "Haitian",
                    "Health",
                    "Hispanics",
                    "Hour",
                    "Household",
                    "Immunosuppression",
                    "Income",
                    "Individual",
                    "Intervention",
                    "Interview",
                    "Loneliness",
                    "Medical",
                    "Methods",
                    "Minority Groups",
                    "Modeling",
                    "Not Hispanic or Latino",
                    "Occupations",
                    "Participant",
                    "Personal Satisfaction",
                    "Population",
                    "Predisposition",
                    "Recommendation",
                    "Reporting",
                    "Respondent",
                    "Risk",
                    "Role",
                    "Sampling",
                    "Social Network",
                    "Structure",
                    "Surveys",
                    "Telephone",
                    "Vaccinated",
                    "Vaccination",
                    "Viral",
                    "Virus Diseases",
                    "anxious",
                    "care providers",
                    "comorbidity",
                    "ethnic minority population",
                    "follow-up",
                    "health belief",
                    "improved",
                    "pandemic disease",
                    "patient oriented",
                    "programs",
                    "psychosocial",
                    "racial and ethnic",
                    "severe COVID-19",
                    "social",
                    "social norm",
                    "socioeconomics",
                    "stressor",
                    "vaccine acceptance"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "3840",
            "attributes": {
                "award_id": "1707069",
                "title": "WERF: Determining the fate and major removal mechanisms of microplastics in water and resource recovery facilities",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Engineering (ENG)",
                    "EnvE-Environmental Engineering"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 12614,
                        "first_name": "Mamadou",
                        "last_name": "Diallo",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2017-08-01",
                "end_date": "2021-07-31",
                "award_amount": 304892,
                "principal_investigator": {
                    "id": 12616,
                    "first_name": "Belinda",
                    "last_name": "Sturm",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 415,
                            "ror": "",
                            "name": "University of Kansas Center for Research Inc",
                            "address": "",
                            "city": "",
                            "state": "KS",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 12615,
                        "first_name": "Edward",
                        "last_name": "Peltier",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 415,
                    "ror": "",
                    "name": "University of Kansas Center for Research Inc",
                    "address": "",
                    "city": "",
                    "state": "KS",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Proposal: 1707069\nPI: Belinda Sturm\n\nThe focus of this project is the fate of microplastics (plastics < 5mm) in the liquid and biosolids discharged from water resource and recovery facilities (WRRFs).  Microplastics are typically entrained within activated sludge and ultimately released to the environment through biosolids.  The detrimental effects of plastics on marine vertebrates is well-documented and a major environmental concern.  In this project the transport pathways for plastics will be identified.  The results of this study will help reduce harmful marine ecosystem impacts.  The PIs will engage municipalities through a full-scale sampling campaign and will disseminate the data in a web-based database that is publically accessible. They will continue to collaborate with high school teachers to refine teaching modules dealing with topics focused on microplastics and emerging contaminants.\n\nMicroplastics are likely to be removed when they are adsorbed or entrained within the activated sludge floc structure.  The main hypothesis is that the sludge structure and extracellular polymeric substances (EPS) content are controlling variables to microplastic removal.  In particular, the assumption is that microbial aggregates with high surface areas and high EPS content can capture more microplastics.  To test this hypothesis the PIs will conduct a survey of select WRRFs with different primary and secondary treatment processes.  To further quantify microplastics capture efficiencies, the PIs will determine the effect of EPS on microplastic adsorption and retention efficiency within lab-scale and pilot-scale reactors and compare conventional and aerobic granular sludge processes for microplastic adsorption.  The activated sludge process, and particularly gravity sedimentation, was not designed to remove low density microplastic particles.  Microplastics are likely to be removed when they are adsorbed or entrained within the activated sludge floc structure.  As microplastic loads to WRRFs increase, it is important to study the effect of niche separation of microplastic-associated microorganisms on activated sludge process performance.  One outcome of the research will be a better understanding the fate of microplastics in WRRFs.  Results of this project will provide a framework for comprehensive management of microplastics contamination in WRRFs.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "9728",
            "attributes": {
                "award_id": "1R01HD107753-01",
                "title": "Maternal COVID-19 Vaccination and Lactation Outcomes",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 8894,
                        "first_name": "Zhaoxia",
                        "last_name": "Ren",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-07-01",
                "end_date": "2025-04-30",
                "award_amount": 618968,
                "principal_investigator": {
                    "id": 25567,
                    "first_name": "Kristin",
                    "last_name": "Palmsten",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 1861,
                    "ror": "",
                    "name": "HEALTHPARTNERS INSTITUTE",
                    "address": "",
                    "city": "",
                    "state": "MN",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The efficacy of coronavirus disease (COVID-19) vaccines available in the US is up to 95% against symptomatic COVID-19. However, pregnant and lactating individuals were excluded from initial clinical trials. COVID-19 vaccine trials are now underway in pregnant women in their second or third trimester but are not expected to conclude until 2022 or 2023, and evaluation of lactation outcomes is not planned. COVID-19 vaccines are highly effective, and mounting evidence suggests immunogenic protection for breastfed infants of mothers receiving COVID-19 vaccines. To date, there are no published studies on COVID-19 vaccine safety during pregnancy or lactation for breastfed infants, milk production and excretion, or other lactation-related outcomes. This lack of safety data threatens to undermine vaccination efforts in pregnant and lactating women. Traditional data sources used for post-licensure surveillance have limited relevance for lactation outcomes . Spontaneous reporting systems suffer from reporting bias due to their voluntary nature; their lack of a denominator of vaccinated lactating women precludes risk estimates. The CDC's V-Safe program, smart phone-based monitoring for vaccine side effects, does not capture lactation status. Ongoing health care claims-based surveillance studies also do not routinely capture lactation. Observational studies enrolling COVID-vaccinated lactating women rely primarily on self-reported outcomes and have limited generalizability. To address the need for comprehensive safety data, we propose a novel study of antenatal and postpartum COVID-19 vaccination and lactation-related outcomes in mother-infant pairs, including more than 11,000 breastfeeding dyads. We will use electronic health record data linked with state immunization data across four large health systems to study infant growth, infant heath care utilization, maternal mastitis, and breastfeeding status up to 7 months after delivery following maternal COVID-19 vaccination. Also, we will explore acute infant outcomes and abnormal infant developmental screens following maternal COVID-19 vaccination. We are uniquely positioned to overcome lack of information on lactation status and reporting and volunteer bias using routinely collected information on breastfeeding at well-child visits for a defined population. We will apply rigorous epidemiologic methods, including propensity score adjustment, to address confounding. With a focus on lactation, our study will complement other studies of COVID-19 vaccination in pregnancy and studies collecting milk samples from COVID-19-vaccinated volunteers. It will provide essential and currently unavailable evidence regarding lactation-related outcomes following perinatal COVID-19 vaccination. Findings supporting safety can reduce vaccine hesitancy, whereas results identifying a potential harm will be important for informing patient decision making. Furthermore, the novel approach and methods for studying lactation­ related outcomes developed through the proposed study can be adapted to efficiently evaluate the safety of drugs and vaccines currently recommended or being investigated for use in pregnant or postpartum women.",
                "keywords": [
                    "Acute",
                    "Address",
                    "Age-Months",
                    "Biological",
                    "Body Composition",
                    "Breast Feeding",
                    "Breastfed infant",
                    "COVID-19",
                    "COVID-19 impact",
                    "COVID-19 vaccination",
                    "COVID-19 vaccine",
                    "Caring",
                    "Cellular Phone",
                    "Centers for Disease Control and Prevention (U.S.)",
                    "Clinical",
                    "Clinical Trials",
                    "Complement",
                    "Cytomegalovirus",
                    "Data",
                    "Data Sources",
                    "Decision Making",
                    "Dehydration",
                    "Development",
                    "Discipline of obstetrics",
                    "Dose",
                    "Electronic Health Record",
                    "Enrollment",
                    "Epidemiologic Methods",
                    "Evaluation",
                    "Excretory function",
                    "Fatigue",
                    "Fever",
                    "Frequencies",
                    "Growth",
                    "Guidelines",
                    "Health system",
                    "Healthcare",
                    "Human",
                    "Human Milk",
                    "Icterus",
                    "Immunization",
                    "Individual",
                    "Infant",
                    "Inflammatory Response",
                    "Influenza",
                    "Lactation",
                    "Licensure",
                    "Link",
                    "Malaise",
                    "Methods",
                    "Milk",
                    "Monitor",
                    "Mothers",
                    "Nature",
                    "Observational Study",
                    "Outcome",
                    "Patient Self-Report",
                    "Patients",
                    "Perinatal",
                    "Population",
                    "Positioning Attribute",
                    "Postpartum Period",
                    "Postpartum Women",
                    "Pregnancy",
                    "Pregnant Women",
                    "Professional Organizations",
                    "Publishing",
                    "RNA vaccine",
                    "Reporting",
                    "Respiratory syncytial virus",
                    "Risk",
                    "Risk Estimate",
                    "Safety",
                    "Sampling",
                    "Screening Result",
                    "Second Pregnancy Trimester",
                    "Surveys",
                    "System",
                    "Third Pregnancy Trimester",
                    "Vaccinated",
                    "Vaccination",
                    "Vaccines",
                    "Viral Proteins",
                    "Viral Vector",
                    "Well Child Visits",
                    "Woman",
                    "antenatal",
                    "base",
                    "coronavirus disease",
                    "cytokine",
                    "health care delivery",
                    "health care service utilization",
                    "immunogenic",
                    "infant outcome",
                    "mastitis",
                    "medication safety",
                    "milk production",
                    "novel",
                    "novel strategies",
                    "perinatal period",
                    "pregnant",
                    "programs",
                    "side effect",
                    "surveillance study",
                    "symptomatic COVID-19",
                    "vaccine access",
                    "vaccine hesitancy",
                    "vaccine safety",
                    "vaccine trial",
                    "volunteer"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "4608",
            "attributes": {
                "award_id": "1439327",
                "title": "CISE/CCF: 2014 Summer School on Formal Techniques",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Computer and Information Science and Engineering (CISE)",
                    "Software & Hardware Foundation"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 15901,
                        "first_name": "Nina",
                        "last_name": "Amla",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2014-04-01",
                "end_date": "2015-03-31",
                "award_amount": 85000,
                "principal_investigator": {
                    "id": 15902,
                    "first_name": "Natarajan",
                    "last_name": "Shankar",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 325,
                            "ror": "https://ror.org/05s570m15",
                            "name": "SRI International",
                            "address": "",
                            "city": "",
                            "state": "CA",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 325,
                    "ror": "https://ror.org/05s570m15",
                    "name": "SRI International",
                    "address": "",
                    "city": "",
                    "state": "CA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Formal verification techniques such as model checking, satisfiability solving, theorem proving, and static analysis have matured rapidly in recent years.  These techniques have a number of important applications ranging from the modeling and analysis of biological and cyber-physical systems to the verification of the safety and security of complex software systems.  The Summer School on Formal Techniques trains students in the principles and practice of formal verification, with a strong emphasis on the hands-on use and development of this technology.  It primarily targets graduate students and young researchers who are interested in using verification technology in their own research in fields such as computing, engineering, biology, and mathematics.  Students at the school are given the opportunity to experiment with the tools and techniques presented in the lectures.\n\nThe 2014 edition of the Summer School is the fourth in the series takes place during May 19-23, 2014.  Topics covered in this school include logic, formalization, interactive theorem proving, SAT and SMT solving, model checking, program semantics, modeling and verification of security protocols, and software reliability.  The students cooperate in solving challenging problems while learning to use cutting-edge tools and techniques.",
                "keywords": [],
                "approved": true
            }
        }
    ],
    "meta": {
        "pagination": {
            "page": 4,
            "pages": 1397,
            "count": 13961
        }
    }
}