Represents Grant table in the DB

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        {
            "type": "Grant",
            "id": "1083",
            "attributes": {
                "award_id": "2140493",
                "title": "RAPID: Mathematical models for uncovering neurological disorders among the U.S. population infected with COVID-19",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Mathematical and Physical Sciences (MPS)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 2692,
                        "first_name": "Zhilan",
                        "last_name": "Feng",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-08-15",
                "end_date": "2022-07-31",
                "award_amount": 144940,
                "principal_investigator": {
                    "id": 2694,
                    "first_name": "Steven G",
                    "last_name": "Krantz",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
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                        {
                            "id": 304,
                            "ror": "",
                            "name": "Washington University",
                            "address": "",
                            "city": "",
                            "state": "MO",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 2693,
                        "first_name": "Arni",
                        "last_name": "Rao",
                        "orcid": null,
                        "emails": "",
                        "private_emails": null,
                        "keywords": "[]",
                        "approved": true,
                        "websites": "[]",
                        "desired_collaboration": "",
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                    },
                    {
                        "id": 26793,
                        "first_name": "Arni S",
                        "last_name": "Rao",
                        "orcid": "NA",
                        "emails": "[email protected]",
                        "private_emails": null,
                        "keywords": "['Artificial Intelligence', ' Mathematical Analysis', ' epidemiology', ' public health', ' biology', ' Virus', ' Complex Analysis', ' Stochastic Process', ' Mathematical Models']",
                        "approved": true,
                        "websites": "['https://www.nsf.gov/awardsearch/showAward?AWD_ID=2140493&HistoricalAwards=false']",
                        "desired_collaboration": "Development of PDEs for understanding multi-morbid conditions due to COVID-19  (Jointly with S.G. Krantz)",
                        "comments": "",
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 304,
                    "ror": "",
                    "name": "Washington University",
                    "address": "",
                    "city": "",
                    "state": "MO",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The COVID-19 virus has been statistically linked to specific medical disorders connected to the brain and nervous system. Although in the past a fraction of SARS and MER patients have been shown to have anxiety and other neurological disorders, the scale of the coronavirus pandemic in 2020 and 2021 is another order of magnitude. The reasons for neurological disorders among COVID-19 patients in the U.S. and other countries are not clear, but the data indicate that some of COVID-19 patients have issues with their awareness, consciousness, and cognizance. Experiments have been conducted on patients worldwide and data was recorded on the behavior of COVID-19 patients. In this project, the principal investigators will develop a mathematical model for an understanding of these neurological mechanisms. The model to be developed will be validated and verified. Once the model is calibrated with data from the U.S. and other countries, the investigators will study the role of COVID in developing brain disorders. They will combine the predictability of the model according to the stochastic volatility of the parameters. The results will have an important impact on the overall well-being of the population and society as a whole.If uncertainty concerning the reasons behind brain damage continues then that could further increase the number of people in the U.S. who would have neurological disorders. In spite of the positive influence of vaccination programs, COVID-19 causes some of neurological disorders among the current patients. Along with the COVID-19 burden, hospitals and health administrators need to understand other long-term, brain-related disorders in the population. A good, quantitative study will be of immediate help in controlling the incidence of brain-related damaged individuals who have COVID-19 in the U.S. The investigators intend to provide a free consultation to neuro-physicians across the nation if and when they need any immediate quantitative assistance in predictions (within a limited time frame). The investigators will develop a mathematical model to understand the size and complexity of the association between brain deterioration and COVID-19 in the U.S. Specifically, they will predict and evaluate people in the U.S. who will likely have neurological disorders like psychosis, hemorrhage, delirium, and stroke. Clinical data have shown some association, but why there are such causes of disorders for the COVID patients is not yet clear from these studies. Several studies among COVID patients have found a statistical correlation between clinical case definitions for psychiatric diagnoses and intracerebral hemorrhage. Another uncertainty remains in understanding the impact of COVID in blood-brain barrier locations; clinical studies are in progress in this direction. A statistical regression analysis on a large clinical population might provide an association among various independent variables of neurological disorders.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": [
                    "PDEs",
                    " underreporting",
                    " wavelets",
                    " neuroscience",
                    " mental illness",
                    " mathematical model",
                    "epidemiology",
                    " public health",
                    " pandemics",
                    " artificial intelligence"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "1798",
            "attributes": {
                "award_id": "2031877",
                "title": "Collaborative Research: RAPID: Investigating Impacts of and Response to COVID-19 in the Technology Innovation Enterprise",
                "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": [
                    "096Z",
                    "7914"
                ],
                "program_officials": [
                    {
                        "id": 4745,
                        "first_name": "Allyson",
                        "last_name": "Kennedy",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-07-01",
                "end_date": "2022-06-30",
                "award_amount": 67862,
                "principal_investigator": {
                    "id": 4747,
                    "first_name": "Wendy M",
                    "last_name": "DuBow",
                    "orcid": "https://orcid.org/0000-0003-4865-0873",
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": "['social science research relative to diversity in computing']",
                    "approved": true,
                    "websites": "['https://anitab.org/blog/covid-19/investigating-compounding-impacts-of-racism-covid-19-on-learning-employment-in-computing-technology-circle-ct/', ' https://public.tableau.com/app/profile/anitab/viz/NSF_RAPID_CIRCLE-CT_SURVEY_1_DASHBOARD_2021_v2/CIRCLE-CT', 'https://public.tableau.com/app/profile/anitab/viz/NSFRAPIDCIRCLE-CTSURVEY2DASHBOARD2021/InvestigatingCompoundingImpactsofRacismCOVID-19onLearningEmploymentinComputingTechnology']",
                    "desired_collaboration": "Our anonymized datasets are available to researchers to use.",
                    "comments": "I would not classify myself as a \"COVID-19 researcher\" per the above. But I did do a short-term research project about the impacts on diversity efforts of COVID-19 and the movements for racial justice.",
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 4746,
                        "first_name": "Wendy M",
                        "last_name": "DuBow",
                        "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
                            }
                        ]
                    }
                ],
                "awardee_organization": {
                    "id": 172,
                    "ror": "",
                    "name": "University of Colorado at Boulder",
                    "address": "",
                    "city": "",
                    "state": "CO",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The COVID-19 pandemic is quickly altering the landscape of our personal and professional lives, and the impacts from the pandemic on the innovation enterprise are profound. Industry is seeing hiring freezes and layoffs. Teachers and college faculty have had to quickly shift to online course delivery. Students have also had to make the shift to online courses, and many face the loss of communal labs that are set-up to support their work. If we are to be able to respond effectively to the impacts of the pandemic, it is paramount that we quickly gather systematic data, in real-time, from the innovation community. This RAPID award will assess the state of the computing innovation community from K-12 education to the tech workforce. Through a survey of the short, medium, and long term effects of the COVID-19 pandemic on the community, this project will elucidate the current state of persistence in computing degree programs and professions and inform efforts to design and deliver education and workforce opportunities. This will support the technology innovation enterprise in mitigating the disruption caused by the COVD-19 pandemic, helping to stabilize the U.S. innovation ecosystem.In this RAPID award, AnitaB.org, the National Center for Women & Information Technology (NCWIT), and the STARS Computing Corps will gather data related to the short- and longer-term impact of the COVID-19 pandemic on the computing innovation enterprise. Due to the ever-changing COVID-19 situation, it is paramount to capture data in these early days and establish a baseline of information that we will be able to build on as the situation unfolds. The objective of this award is to understand the impact of the global pandemic on the conditions of work and educational environments related to factors associated with persistence in computing degree programs and professions. The team will sample across the computing ecosystem by gathering data from K-12 teachers; post-secondary program leaders, educators and students; and individuals in the computing workforce. They will assess the following research questions to understand impacts at both the individual and organizational levels: 1. How is the computing ecosystem (K12, postsecondary, industry, startup) responding to the COVID-19 crisis? 2. What are the short-term, intermediate, and longer-term impacts of the COVID-19 crisis on the computing community, in terms of the design and delivery of computing instruction (K12, postsecondary) and research and the experiences of technologists in industry?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": [
                    "racial injustice",
                    " DEI",
                    " DEAI",
                    " diversity",
                    " COVID-19",
                    " pandemic",
                    " computing",
                    " computer science",
                    " technology",
                    " anti-racism",
                    " intersectional identities"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "7871",
            "attributes": {
                "award_id": "1T32HL160529-01",
                "title": "Training in Research on Vascular Inflammation and Injury",
                "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": 23715,
                        "first_name": "Karin Fredriksson",
                        "last_name": "Lidman",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-02-01",
                "end_date": "2027-01-31",
                "award_amount": 107164,
                "principal_investigator": {
                    "id": 23716,
                    "first_name": "Sarah Y",
                    "last_name": "Yuan",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
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                    "affiliations": [
                        {
                            "id": 235,
                            "ror": "https://ror.org/032db5x82",
                            "name": "University of South Florida",
                            "address": "",
                            "city": "",
                            "state": "FL",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 235,
                    "ror": "https://ror.org/032db5x82",
                    "name": "University of South Florida",
                    "address": "",
                    "city": "",
                    "state": "FL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This program is designed to train pre- and postdoctoral scientists in basic and translational research, focusing on vascular inflammation and associated disease or injury in the heart, brain, lung, kidney, gut, and placenta. As all tissues are connected via blood vessels and lymphatics, inflammatory responses in the circulation play a central role in the onset and progression of multiple organ dysfunction and pathologies, including hypertension, atherosclerosis, arrythmia, myocardium infarction, acute respiratory distress syndrome, stroke, preeclampsia, neurodegenerative disorder, traumatic brain injury, and sepsis. The recent discovery of vasculitis as a leading cause of mortality and morbidity in patients with COVID-19 further accentuates the need for future research to decipher molecular/cellular mechanisms and identify diagnostic/therapeutic targets for vascular inflammation. The goal of this program is to provide comprehensive training in research focusing on the molecular and cellular basis of inflammation and related organ injury, taking advantage of our faculty's nationally recognized expertise in inflammation research and vascular biology. The mentoring faculty consist of 20 mentors from 7 departments across 6 inter-departmental programs or research centers, 7 of whom hold MD/PhD degrees and 4 are practicing physicians; all have been funded by the NIH and have extensive experience in mentoring at both pre- and postdoctoral levels. The group has already established a close collaborative relationship in research and training, evidenced by co-mentorship for graduate students, co-authorship in numerous publications and presentations, and joint effort in grant applications. The proximity of their laboratories, along with the centralized administrative support provided by the department chaired by the program director, further enables close mentor-mentee interactions. Trainees will be selected from a large pool of PhD candidates and postgraduates in basic science programs, as well as 14 medical residency/fellowship programs related to cardiovascular sciences. A significant portion (up to 27%) of trainees come from underrepresented racial/ethnic groups or with socioeconomically disadvantaged backgrounds. The program design includes a comprehensive set of training modalities, featuring a rigorous curriculum composed of didactic courses and workshops to build knowledge and competency, an intensive research project emphasizing hands-on experience and critical/innovative thinking, and a personalized development plan to equip the trainees with not only workplace survival skills but also the vision and capability to lead independent research. Trainees will be immersed in a highly collaborative environment supported by substantial institutional resources committed to the Heart Institute, Neuroscience Institute, full-spectrum core services, bridge funding for faculty mentors, and tuition waiver and stipend supplement for trainees. In addition, the program offers several unique opportunities for trainees to learn techniques and experimental approaches that are not commonly available elsewhere, including 3/4D intravital microscopic/molecular imaging in the blood and lymph microvasculature, and translational studies using intact, functionally viable human organs.",
                "keywords": [
                    "Research",
                    "Training",
                    "vascular inflammation",
                    "vascular injury"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "11341",
            "attributes": {
                "award_id": "1T32HL166127-01",
                "title": "Developing a Diverse Next Generation of Leaders in Respiratory Science",
                "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": 24109,
                        "first_name": "MARQUITTA JONISSE",
                        "last_name": "White",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
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                    }
                ],
                "start_date": "2023-06-01",
                "end_date": "2028-05-31",
                "award_amount": 383121,
                "principal_investigator": {
                    "id": 27394,
                    "first_name": "Laura Elise",
                    "last_name": "Crotty Alexander",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
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                },
                "other_investigators": [
                    {
                        "id": 23330,
                        "first_name": "Xin",
                        "last_name": "Sun",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
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                        "affiliations": [
                            {
                                "id": 760,
                                "ror": "https://ror.org/0168r3w48",
                                "name": "University of California, San Diego",
                                "address": "",
                                "city": "",
                                "state": "CA",
                                "zip": "",
                                "country": "United States",
                                "approved": true
                            }
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                    },
                    {
                        "id": 23694,
                        "first_name": "Atul",
                        "last_name": "Malhotra",
                        "orcid": null,
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                        "keywords": null,
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                            {
                                "id": 760,
                                "ror": "https://ror.org/0168r3w48",
                                "name": "University of California, San Diego",
                                "address": "",
                                "city": "",
                                "state": "CA",
                                "zip": "",
                                "country": "United States",
                                "approved": true
                            }
                        ]
                    },
                    {
                        "id": 27395,
                        "first_name": "Jason X J",
                        "last_name": "Yuan",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
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                    "id": 760,
                    "ror": "https://ror.org/0168r3w48",
                    "name": "University of California, San Diego",
                    "address": "",
                    "city": "",
                    "state": "CA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This proposal is for a new training program that capitalizes on our major local strengths in respiratory physiology and pulmonary disease. Over time, the field of physiology and pathophysiology has evolved to solve new problems identified from clinical management of lung airway, interstitial and vascular diseases and to extend the new discoveries from genetic, genomic, cell and molecular studies to define pathogenic mechanisms and develop novel therapeutic interventions for lung diseases. We remain focused on the importance of integrated function and systems biology and thus we use the concepts of physiology as an integrator across respiratory science studied at multiple levels. With the success of our recent T32 and recruitment efforts, our respiratory science has broadened to include strength in genetics, (epi)genomics, molecular and cellular biology. While we view our science as cutting edge, we pride ourselves on the fact that our trainees do not just focus on a single molecule or gene but rather keep in mind the importance of integrated function and translational research. Our MPIs include diverse strengths in Pulmonary, Sleep, Genomics, Critical Care, Physiology and Respiratory Science. The MPIs have mutual respect, complementary expertise, shared vision for scientific progress and a strong commitment to developing a superb next generation of leaders with rich diversity. To improve the quality of mentoring, we also removed less effective mentors while adding more R01-funded preceptors and formalizing the levels of faculty participation based on success in research training, research productivity and current research funding. We have made both Sleep and Pediatrics as major scientific foci, addressing major national shortages in these areas. We utilize individual development plans, overseen by the MPIs, Preceptors and senior advisors, for all of our trainees to empower people with diverse backgrounds. We promote collaboration between MDs and PhDs, ensure that everyone has experience and competency in inter-, trans- and multi-disciplinary research, and ensure all of our trainees have a strong foundation in physiological approaches that provides a clinical context for research problems studied at any level. We promote cohesiveness, team spirit and a unique identity for our trainees via common activities involving all of our trainees and mentors/preceptors such as frequent scholarly meetings, career development sessions and quarterly retreats. We are committed to a training program that includes every phase of academic career development, from ‘cradle to grave’ including developing junior faculty into independent investigators, and even improving the mentoring skills in our senior faculty. We also remain committed to diversifying the next generation of respiratory scientists as demonstrated by our long- term track record and recent recruitments. The lack of a robust pipeline for multidisciplinary researchers who can apply modern integrative approaches to problems in respiratory science is a crisis which has been further amplified by the COVID pandemic, but it is a challenge that we are well-qualified and eager to address.",
                "keywords": [
                    "Science",
                    "next generation",
                    "respiratory"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "15048",
            "attributes": {
                "award_id": "5T32HL166127-02",
                "title": "Developing a Diverse Next Generation of Leaders in Respiratory Science",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
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                "funder_divisions": [
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                    {
                        "id": 20693,
                        "first_name": "Roya",
                        "last_name": "Kalantari",
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                    }
                ],
                "start_date": "2023-06-01",
                "end_date": "2028-05-31",
                "award_amount": 409676,
                "principal_investigator": {
                    "id": 27394,
                    "first_name": "Laura Elise",
                    "last_name": "Crotty Alexander",
                    "orcid": null,
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                },
                "other_investigators": [
                    {
                        "id": 23330,
                        "first_name": "Xin",
                        "last_name": "Sun",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
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                            {
                                "id": 760,
                                "ror": "https://ror.org/0168r3w48",
                                "name": "University of California, San Diego",
                                "address": "",
                                "city": "",
                                "state": "CA",
                                "zip": "",
                                "country": "United States",
                                "approved": true
                            }
                        ]
                    },
                    {
                        "id": 23694,
                        "first_name": "Atul",
                        "last_name": "Malhotra",
                        "orcid": null,
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                        "keywords": null,
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                                "id": 760,
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                                "name": "University of California, San Diego",
                                "address": "",
                                "city": "",
                                "state": "CA",
                                "zip": "",
                                "country": "United States",
                                "approved": true
                            }
                        ]
                    }
                ],
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                    "city": "",
                    "state": "CA",
                    "zip": "",
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                    "approved": true
                },
                "abstract": "This proposal is for a new training program that capitalizes on our major local strengths in respiratory physiology and pulmonary disease. Over time, the field of physiology and pathophysiology has evolved to solve new problems identified from clinical management of lung airway, interstitial and vascular diseases and to extend the new discoveries from genetic, genomic, cell and molecular studies to define pathogenic mechanisms and develop novel therapeutic interventions for lung diseases. We remain focused on the importance of integrated function and systems biology and thus we use the concepts of physiology as an integrator across respiratory science studied at multiple levels. With the success of our recent T32 and recruitment efforts, our respiratory science has broadened to include strength in genetics, (epi)genomics, molecular and cellular biology. While we view our science as cutting edge, we pride ourselves on the fact that our trainees do not just focus on a single molecule or gene but rather keep in mind the importance of integrated function and translational research. Our MPIs include diverse strengths in Pulmonary, Sleep, Genomics, Critical Care, Physiology and Respiratory Science. The MPIs have mutual respect, complementary expertise, shared vision for scientific progress and a strong commitment to developing a superb next generation of leaders with rich diversity. To improve the quality of mentoring, we also removed less effective mentors while adding more R01-funded preceptors and formalizing the levels of faculty participation based on success in research training, research productivity and current research funding. We have made both Sleep and Pediatrics as major scientific foci, addressing major national shortages in these areas. We utilize individual development plans, overseen by the MPIs, Preceptors and senior advisors, for all of our trainees to empower people with diverse backgrounds. We promote collaboration between MDs and PhDs, ensure that everyone has experience and competency in inter-, trans- and multi-disciplinary research, and ensure all of our trainees have a strong foundation in physiological approaches that provides a clinical context for research problems studied at any level. We promote cohesiveness, team spirit and a unique identity for our trainees via common activities involving all of our trainees and mentors/preceptors such as frequent scholarly meetings, career development sessions and quarterly retreats. We are committed to a training program that includes every phase of academic career development, from ‘cradle to grave’ including developing junior faculty into independent investigators, and even improving the mentoring skills in our senior faculty. We also remain committed to diversifying the next generation of respiratory scientists as demonstrated by our long- term track record and recent recruitments. The lack of a robust pipeline for multidisciplinary researchers who can apply modern integrative approaches to problems in respiratory science is a crisis which has been further amplified by the COVID pandemic, but it is a challenge that we are well-qualified and eager to address.",
                "keywords": [
                    "Science",
                    "next generation",
                    "respiratory"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "1640",
            "attributes": {
                "award_id": "2031097",
                "title": "RAPID: Who is (Not) Complying with the Social Distancing Directive and Why?",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Social, Behavioral, and Economic Sciences (SBE)"
                ],
                "program_reference_codes": [
                    "096Z",
                    "1332",
                    "7914"
                ],
                "program_officials": [
                    {
                        "id": 4309,
                        "first_name": "Steven",
                        "last_name": "Breckler",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-05-01",
                "end_date": "2021-04-30",
                "award_amount": 63789,
                "principal_investigator": {
                    "id": 4310,
                    "first_name": "Russell H",
                    "last_name": "Fazio",
                    "orcid": "https://orcid.org/0000-0002-0754-8234",
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": "['attitudes', ' beliefs', ' social cognition', ' prejudice']",
                    "approved": true,
                    "websites": "['https://www.asc.ohio-state.edu/psychology/fazio/']",
                    "desired_collaboration": "",
                    "comments": "",
                    "affiliations": [
                        {
                            "id": 308,
                            "ror": "",
                            "name": "Ohio State University",
                            "address": "",
                            "city": "",
                            "state": "OH",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 308,
                    "ror": "",
                    "name": "Ohio State University",
                    "address": "",
                    "city": "",
                    "state": "OH",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "In the current COVID-19 pandemic, one approach to minimizing the spread of the virus focuses on people’s behavior – social distancing. Since the start of the pandemic, government leaders and health experts have requested citizens to follow social distancing directives. Despite this repeated message and despite the fact that many people are taking the message seriously, many others are violating the new norms. That raises important questions: who is and who is not complying, and why? Understanding why people choose not to practice social distancing is crucial for designing effective public service campaigns.  This research investigates who complies, what specific beliefs should be addressed, and what factors make public campaigns believable. The project seeks to identify the factors that lead to greater compliance for the greater good, and will inform future public service campaigns. A series of studies examines how social distancing behaviors vary as a function of belief systems. An innovative measure of social distancing is developed – one that is more behavioral in nature than the typical survey. The critical beliefs that are to be examined stem from a conceptual framework regarding a directive as involving three essential components.  One is the source -- someone is requesting people to change their behavior.  A second is the surrounding context --  the request is in response to some challenge.  The third component is the target -- the persons to whom the request is addressed. Belief systems relevant to each of these three components are expected to influence the likelihood that people will comply with the request.  As a result, an entire network of beliefs is expected to influence how people respond and why. Some individuals’ belief systems will lead them to view the request favorably, thus promoting appropriate social distancing behaviors. Others will reach more negative conclusions and subsequently refuse to take directives seriously. Once the concerns about the pandemic have lessened, study participants will be re-contacted and asked to again respond to social distancing behavioral scenarios and to indicate if they had experienced virus symptoms in the interim.  Those follow-up data will shed light on the relationship between individuals’ social distancing behaviors and their subsequent likelihood of infection.  The research aims to inform theory regarding social compliance processes, and will provide a stronger foundation for developing future public service campaigns.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": [
                    "social distancing behavior",
                    " contracting COVID",
                    " political polarization",
                    " conspiracist ideation",
                    " disgust sensitivity"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10908",
            "attributes": {
                "award_id": "5T32AI165396-02",
                "title": "Vaccinology Training Program",
                "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": 23706,
                        "first_name": "Stephanie",
                        "last_name": "Coomes",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-02-09",
                "end_date": "2027-01-31",
                "award_amount": 316331,
                "principal_investigator": {
                    "id": 21801,
                    "first_name": "Robert Wilson",
                    "last_name": "Frenck",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 897,
                            "ror": "",
                            "name": "CINCINNATI CHILDRENS HOSP MED CTR",
                            "address": "",
                            "city": "",
                            "state": "OH",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 23707,
                        "first_name": "PAUL W.",
                        "last_name": "SPEARMAN",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 23708,
                        "first_name": "Sing Sing SING",
                        "last_name": "Way",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": [
                            {
                                "id": 897,
                                "ror": "",
                                "name": "CINCINNATI CHILDRENS HOSP MED CTR",
                                "address": "",
                                "city": "",
                                "state": "OH",
                                "zip": "",
                                "country": "United States",
                                "approved": true
                            }
                        ]
                    }
                ],
                "awardee_organization": {
                    "id": 897,
                    "ror": "",
                    "name": "CINCINNATI CHILDRENS HOSP MED CTR",
                    "address": "",
                    "city": "",
                    "state": "OH",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This is a new application for a T32 training program that will train the next generation of leaders in vaccine science. The Vaccinology Training Program (VTP) builds on a strong legacy of vaccine development at Cincinnati Children’s Hospital and the University of Cincinnati that includes the oral polio vaccine pioneered by Albert Sabin, the development of one of the world’s leading rotavirus vaccines by Drs. David Bernstein and Richard Ward, and the more recent evaluation of multiple COVID vaccines. Cincinnati Children’s is a longstanding site within the NIH-sponsored Vaccine and Treatment Evaluation Unit (VTEU) network, and features unique strengths in vaccine clinical trials including controlled human infection models (CHIMs) for evaluation of vaccines against Shigella sonnei, norovirus, cholera, and influenza; investigator-initiated trials for novel RSV vaccines, and application of systems vaccinology tools to elucidate the cellular/molecular pathways that lead to successful adaptive immune responses to vaccines in both young and aged individuals. Investigators in our program lead a large U01-funded cohort study of pregnant women and their infants studying the earliest responses to influenza infection and vaccination in order to understand the principles of immunologic imprinting. The VTP features outstanding basic science faculty pursuing a wide variety of projects relevant to vaccine development, including the areas of infectious disease pathogenesis, novel immunogen design, basic aspects of immune development and regulation, computational and functional genomics related to vaccines, and reproductive biology and immunology. The VTP will provide training to M.D., Ph.D., and MD-PhD postdoctoral researchers that will facilitate their development into successful independent investigators devoted to vaccine-relevant research. The program will support 4 trainees in the program per year, each appointed to 2-year terms. 22 expert mentors with strong track records in scientific mentorship and NIH-funded research programs will serve as the VTP mentors and faculty. Formal education in the breadth of vaccine sciences will be provided to all VTP trainees, including a seminar course in vaccinology covering bench-to-bedside aspects of vaccinology, formal education in grant writing, and targeted coursework relevant to the research project and focus (basic or translational) of individual trainees. Our program is dedicated to recruitment of trainees from diverse backgrounds, races, and ethnicities. The intended outcome is to nurture and develop VTP trainees into creative, independent scientists who will form the vaccinology workforce of the future.",
                "keywords": [
                    "Training Programs",
                    "vaccinology"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "7865",
            "attributes": {
                "award_id": "1T32AI165396-01",
                "title": "Vaccinology Training Program",
                "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": 23706,
                        "first_name": "Stephanie",
                        "last_name": "Coomes",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-02-09",
                "end_date": "2027-01-31",
                "award_amount": 156766,
                "principal_investigator": {
                    "id": 21801,
                    "first_name": "Robert Wilson",
                    "last_name": "Frenck",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 897,
                            "ror": "",
                            "name": "CINCINNATI CHILDRENS HOSP MED CTR",
                            "address": "",
                            "city": "",
                            "state": "OH",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 23707,
                        "first_name": "PAUL W.",
                        "last_name": "SPEARMAN",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 23708,
                        "first_name": "Sing Sing SING",
                        "last_name": "Way",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": [
                            {
                                "id": 897,
                                "ror": "",
                                "name": "CINCINNATI CHILDRENS HOSP MED CTR",
                                "address": "",
                                "city": "",
                                "state": "OH",
                                "zip": "",
                                "country": "United States",
                                "approved": true
                            }
                        ]
                    }
                ],
                "awardee_organization": {
                    "id": 897,
                    "ror": "",
                    "name": "CINCINNATI CHILDRENS HOSP MED CTR",
                    "address": "",
                    "city": "",
                    "state": "OH",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This is a new application for a T32 training program that will train the next generation of leaders in vaccine science. The Vaccinology Training Program (VTP) builds on a strong legacy of vaccine development at Cincinnati Children’s Hospital and the University of Cincinnati that includes the oral polio vaccine pioneered by Albert Sabin, the development of one of the world’s leading rotavirus vaccines by Drs. David Bernstein and Richard Ward, and the more recent evaluation of multiple COVID vaccines. Cincinnati Children’s is a longstanding site within the NIH-sponsored Vaccine and Treatment Evaluation Unit (VTEU) network, and features unique strengths in vaccine clinical trials including controlled human infection models (CHIMs) for evaluation of vaccines against Shigella sonnei, norovirus, cholera, and influenza; investigator-initiated trials for novel RSV vaccines, and application of systems vaccinology tools to elucidate the cellular/molecular pathways that lead to successful adaptive immune responses to vaccines in both young and aged individuals. Investigators in our program lead a large U01-funded cohort study of pregnant women and their infants studying the earliest responses to influenza infection and vaccination in order to understand the principles of immunologic imprinting. The VTP features outstanding basic science faculty pursuing a wide variety of projects relevant to vaccine development, including the areas of infectious disease pathogenesis, novel immunogen design, basic aspects of immune development and regulation, computational and functional genomics related to vaccines, and reproductive biology and immunology. The VTP will provide training to M.D., Ph.D., and MD-PhD postdoctoral researchers that will facilitate their development into successful independent investigators devoted to vaccine-relevant research. The program will support 4 trainees in the program per year, each appointed to 2-year terms. 22 expert mentors with strong track records in scientific mentorship and NIH-funded research programs will serve as the VTP mentors and faculty. Formal education in the breadth of vaccine sciences will be provided to all VTP trainees, including a seminar course in vaccinology covering bench-to-bedside aspects of vaccinology, formal education in grant writing, and targeted coursework relevant to the research project and focus (basic or translational) of individual trainees. Our program is dedicated to recruitment of trainees from diverse backgrounds, races, and ethnicities. The intended outcome is to nurture and develop VTP trainees into creative, independent scientists who will form the vaccinology workforce of the future.",
                "keywords": [
                    "Training Programs",
                    "vaccinology"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "1211",
            "attributes": {
                "award_id": "2116465",
                "title": "Collaborative Research: U.S. institutions after COVID-19: Trust, accountability, and public perceptions",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Social, Behavioral, and Economic Sciences (SBE)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 3104,
                        "first_name": "Jan",
                        "last_name": "Leighley",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-12-01",
                "end_date": "2023-11-30",
                "award_amount": 81923,
                "principal_investigator": {
                    "id": 3105,
                    "first_name": "James N",
                    "last_name": "Druckman",
                    "orcid": "https://orcid.org/0000-0002-1249-6790",
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": "['political science', ' psychology', ' communications']",
                    "approved": true,
                    "websites": "['https://www.covidstates.org/']",
                    "desired_collaboration": "",
                    "comments": "listserv",
                    "affiliations": [
                        {
                            "id": 317,
                            "ror": "https://ror.org/000e0be47",
                            "name": "Northwestern University",
                            "address": "",
                            "city": "",
                            "state": "IL",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 3105,
                        "first_name": "James N",
                        "last_name": "Druckman",
                        "orcid": "https://orcid.org/0000-0002-1249-6790",
                        "emails": "[email protected]",
                        "private_emails": "",
                        "keywords": "['political science', ' psychology', ' communications']",
                        "approved": true,
                        "websites": "['https://www.covidstates.org/']",
                        "desired_collaboration": "",
                        "comments": "listserv",
                        "affiliations": [
                            {
                                "id": 317,
                                "ror": "https://ror.org/000e0be47",
                                "name": "Northwestern University",
                                "address": "",
                                "city": "",
                                "state": "IL",
                                "zip": "",
                                "country": "United States",
                                "approved": true
                            }
                        ]
                    }
                ],
                "awardee_organization": {
                    "id": 317,
                    "ror": "https://ror.org/000e0be47",
                    "name": "Northwestern University",
                    "address": "",
                    "city": "",
                    "state": "IL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "COVID-19 upended social, economic, and political systems throughout the world. The United States has faced particular challenges due to its heterogeneity and federal nature. The COVID States project is a large-scale data collection that includes over-time data from diverse state-level samples. The project tracks state-level post-pandemic recovery, studying topics such as trust in institutions, information acquisition and impact, accountability, and economic inequality. It also documents how federal and state policies affect the populace when it comes to these topics. Further, the COVID States project provides access to researchers from all backgrounds, types of academic institutions, and career stages through a competition for survey module time and provides a user-friendly website with data trackers for use by researchers, students, journalists, policymakers, and the public.The COVID States project conducts over-time state-level surveys from all 50 states and D.C. Each survey includes up to 30,000 total respondents, using quota sampling by state. This allows for generalizable inferences at the state and national levels. Post-pandemic data provide an unprecedented opportunity for novel over-time and across-space research designs. The project over-samples demographic minority respondents to facilitate study of heterogeneous social groups. This includes data on trust in political figures and institutions, knowledge and information, political evaluations, behavioral adaptation, physical health, economic well-being, mental health, and more. It also contains detailed social network batteries that allow for the study of inter-household and inter-group transmission of health and information. This is complemented by Twitter data from survey respondents who allow it. This enables the project to identify information sharing and study political discourse.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": [
                    "trust",
                    " states",
                    " social networks",
                    "mental health",
                    " institutional trust",
                    " guns",
                    " social networks",
                    " protest"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "11722",
            "attributes": {
                "award_id": "1T32TR004417-01",
                "title": "CTSA Predoctoral T32 at Tufts University",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Center for Advancing Translational Sciences (NCATS)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 22830,
                        "first_name": "Andrew",
                        "last_name": "Louden",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2023-07-01",
                "end_date": "2028-06-30",
                "award_amount": 543495,
                "principal_investigator": {
                    "id": 27592,
                    "first_name": "DAVID M",
                    "last_name": "KENT",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 863,
                    "ror": "",
                    "name": "TUFTS UNIVERSITY BOSTON",
                    "address": "",
                    "city": "",
                    "state": "MA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "We propose to substantially expand opportunities at the Tufts Graduate School of Biomedical Sciences for predoctoral training in clinical and translational science (CTS). Based on our recent experience integrating predoctoral students in our established postdoctoral program, we have found that early exposure to CTS training can profoundly influence the career trajectories of scholars and enrich the learning environment for all levels of trainees. The Tufts CTS Graduate Program, the training core of Tufts Clinical and Translational Science Institute (CTSI), has a long and distinguished history in training leaders in clinical research and CTS. Founded in 1999 as the nation's first clinical research program based at a school of graduate biomedical sciences and an academic medical center, we have continuously evolved to meet the changing needs of CTS training. Now we seek to build on our successful experience to increase our impact preparing the CTS workforce by preparing predoctoral trainees to meet future healthcare challenges. As the world emerges from the COVID-19 pandemic, the case for engaging trainees in CTS research earlier in their careers has never been stronger. While we cannot fully anticipate the specific healthcare challenges that predoctoral trainees will face in the coming decades, we can discern emerging themes that will undoubtedly dominate. For example, it seems certain that future healthcare solutions will increasingly rely on real world evidence emerging from the convergence of machine learning and routinely collected big data. Also, it is abundantly clear from the COVID- 19 pandemic that interactions between humans, animals, and the environment will be a critical, perhaps existential determinant of our health and survival. Finally, while the wealthy appear to be reaching our natural lifespans, durable socioeconomic disparities are estimated to account for roughly one in three premature deaths even in highly developed countries; substantial health gains undoubtedly depend on addressing social determinants of health and other causes of disparity. These concerns, aligned with Tufts' strengths, have shaped our three specialized T32 Program Tracks: Predictive Analytics and Comparative Effectiveness Research (PACER), One Health, and Health Policy and Health Disparities (HPHD). Thus, responding to the call of NCATS to train more predoctoral scholars, we have two principal aims: AIM 1: Inspire and prepare promising professional students as Medical Research Scholars to devote their careers to clinical and translational science. We will provide pathways for professional students (e.g., MD, DVM, DMD, DPT) to augment their clinical education with Certificate, MS, or PhD-level training in CTS. AIM 2: Prepare PhD candidates as Translational Research Scholars to embark on future careers as clinical and translational scientists. We will recruit and train candidates with prior biomedical backgrounds into our CTS PhD program; and provide pathways for doctoral students in related fields (e.g., basic science, computer science, nutrition) to augment their research training with Certificate or MS-level training in CTS.",
                "keywords": [
                    "Universities",
                    "pre-doctoral"
                ],
                "approved": true
            }
        }
    ],
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        "pagination": {
            "page": 1392,
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}