Represents Grant table in the DB

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            "type": "Grant",
            "id": "1462",
            "attributes": {
                "award_id": "2027620",
                "title": "RAPID: THE PSYCHOLOGICAL UNDERPINNINGS OF PANIC BUYING DURING THE COVID-19 OUTBREAK AND HOW TO MITIGATE THEM",
                "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",
                    "7914",
                    "9150",
                    "9179"
                ],
                "program_officials": [
                    {
                        "id": 3797,
                        "first_name": "Robert",
                        "last_name": "O'Connor",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
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                    }
                ],
                "start_date": "2020-05-01",
                "end_date": "2023-04-30",
                "award_amount": 135825,
                "principal_investigator": {
                    "id": 3798,
                    "first_name": "Mehdi T",
                    "last_name": "Hossain",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 161,
                            "ror": "https://ror.org/013ckk937",
                            "name": "University of Rhode Island",
                            "address": "",
                            "city": "",
                            "state": "RI",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 161,
                    "ror": "https://ror.org/013ckk937",
                    "name": "University of Rhode Island",
                    "address": "",
                    "city": "",
                    "state": "RI",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The coronavirus pandemic has influenced people’s marketplace behaviors. Panic buying has been evident among consumers all over the world, incurring substantial costs to the buyer, the society, and the marketplace. Hoarding and stockpiling creates shortage of supplies for necessities, depriving others who might be needing them the most in the situation (e.g., health care providers, older individuals), and artificially hikes price levels. For the panic buyer, this behavior creates inventory management problems. This research focuses on the consumer psychology of panic buying and how the media, policy makers, government officials and retailers can frame their communication with the general public at times of such unprecedented events, aiming to mitigate the psychological triggers of this behavior. The current research illuminates the psychological remedies of panic buying, and prescribes actions that may protect the supply chain, ensure equal distribution of necessities among the population, control price hikes of necessities, and extend consumers’ financial well-being in pandemic like situations.This research is two interrelated studies aimed at tackling the problem of panic buying owing to the COVID-19 pandemic. The first study explores the underlying psychological processes of panic buying during the ongoing crisis. Through an online survey, a U.S. national pool of 2750 respondents provides measures of relevant psychological factors and proneness to panic buying. The second study uses findings from the first study to develop communication frames and materials. The researcher then randomly assigns respondents to different conditions and evaluates the efficacy of the different conditions to reducing panic buying and hoarding.This project is jointly funded by DRMS and the Established Program to Stimulate Competitive Research (EPSCoR).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": "1782",
            "attributes": {
                "award_id": "2028485",
                "title": "RAPID: COVID-19 Information Exposure and Messaging Effects",
                "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",
                    "7914",
                    "9150",
                    "9179"
                ],
                "program_officials": [
                    {
                        "id": 4697,
                        "first_name": "Robert",
                        "last_name": "O'Connor",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-06-01",
                "end_date": "2021-05-31",
                "award_amount": 199027,
                "principal_investigator": {
                    "id": 4701,
                    "first_name": "Brendan",
                    "last_name": "Nyhan",
                    "orcid": "https://orcid.org/0000-0001-7497-1799",
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": "['https://www.dartmouth.edu/~nyhan/']",
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 4698,
                        "first_name": "John M",
                        "last_name": "Carey",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 4699,
                        "first_name": "Jason A",
                        "last_name": "Reifler",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 4700,
                        "first_name": "Andrew",
                        "last_name": "Guess",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 386,
                    "ror": "https://ror.org/049s0rh22",
                    "name": "Dartmouth College",
                    "address": "",
                    "city": "",
                    "state": "NH",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Fighting the COVID-19 pandemic requires understanding what information people have about the disease and how officials can improve public knowledge and encourage behaviors that will protect public health. By measuring COVID-19 beliefs and attitudes, this study provides insights into public beliefs about COVID-19 and the efficacy of government and health messaging about the pandemic, and how those quantities change over time. In addition to measuring respondents’ knowledge about COVID-19, the research team assesses how people’s online media consumption is related to their patterns of knowledge. Finally, the study provides information about the effectiveness of public health messages on respondents’ knowledge about COVID-19 and support for public health policies.The research team is collecting behavioral and survey data from Americans in a multi-wave nationally representative survey. This survey includes oversamples of respondents who live in areas with high numbers of COVID-19 cases and who have voluntarily agreed to provide data on their online browsing activity. Each wave measures both the prevalence of different types of beliefs about COVID-19 and reported support for and adherence to recommendations from public health authorities. To evaluate responses to information from public health officials, the second survey wave includes a randomized experiment evaluating the effects of messaging from health and medical authorities. Finally, the study characterizes the information people consume online about the pandemic by analyzing the behavioral data provided by respondents using a combination of human-coded and machine learning approaches.This project is jointly funded by DRMS and the Established Program to Stimulate Competitive Research (EPSCoR).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": "2214",
            "attributes": {
                "award_id": "2033425",
                "title": "RAPID: Uncovering the Effects of COVID-19 on Stress, Well-being and Economic Decision-Making",
                "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",
                    "7914",
                    "9150",
                    "9179"
                ],
                "program_officials": [
                    {
                        "id": 5994,
                        "first_name": "Nancy",
                        "last_name": "Lutz",
                        "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": 82273,
                "principal_investigator": {
                    "id": 5996,
                    "first_name": "Laura",
                    "last_name": "Razzolini",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 229,
                            "ror": "",
                            "name": "University of Alabama Tuscaloosa",
                            "address": "",
                            "city": "",
                            "state": "AL",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 5995,
                        "first_name": "Michael",
                        "last_name": "Price",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 229,
                    "ror": "",
                    "name": "University of Alabama Tuscaloosa",
                    "address": "",
                    "city": "",
                    "state": "AL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Measures taken to slow the spread of COVID-19, such as social distancing and “stay-at-home” orders  have generated the fear of income and employment losses in addition to  possibility of the individual, friends and family getting infected.  COVID-19 therefore increases burdens on mental well-being and stress levels.  Such increased stress levels affect individuals’ decision-making in risky environments, choices over time-dated payments, willingness to donate to charities, and honesty when provided the opportunity to cheat for personal gain. The increased stress levels can impact preferences and choices and a range of outcomes such as health, borrowing and savings, and human capital formation.  It therefore has long-term consequences for individual well-being.  This research project will use survey and field experiments to study the impact of COVID-19. Specifically, it investigates three questions: (i) What are the effects of COVID-19 on stress, mental and physical health, and preferences? (ii) Do individuals believe in the effectiveness of strategies to slow the spread of COVID-19 and do individuals have  confidence in institutions responsible for these strategies? and (iii) What are the welfare effects of the COVID-19 pandemic? In addition, how much money or how many years of life would individuals give up in order to avoid exposure to a future pandemic similar to COVID-19? The results of this study have important policy implications for strategies to reduce the spread of, as well as reducing the effects of COVID-19 on the welfare of households.  This research also will help establish the US as the global leader in policies to reduce the effects of pandemics on households.This project uses a survey and field experiment, built on an existing project, to study the impact of COVID-19 induced stress on economic preferences and decision-making. The survey has several unique features that allows the PIs to quantify non-monetary costs of COVID-19. The survey measures how exposure to COVID-19 affects self-reported levels of stress, life satisfaction, and mental well-being. In addition, the field experiment elicits individual specific measures of time and risk preference, honesty, and pro-social/altruistic behavior, to examine whether and how stress induced by COVID-19 affects economic preferences and decision-making. The study will compare the effects of COVID-19, which may affect both stress and income through changes in employment, to the effects of traffic and congestion, which impact stress, but not income. Results from the study will inform the on-going debate on stability of preferences and how preferences respond to temporary shocks, such as the COVID-19 pandemic. The results will also provide important inputs into policy formulation and implementation to reduce the spread of, as well as mitigate the welfare effects of COVID-19.  The research will provide insights into which organizations are most trusted during a national crisis, and therefore guide information strategies to prevent the spread of pandemics.  This research also will help establish the US as the global leader in policies to reduce the effects of pandemics on households.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": "2134",
            "attributes": {
                "award_id": "2028573",
                "title": "RAPID: Effects of the Move to Online Teaching on the Rural HBCU Community due to the Coronavirus (COVID-19) Pandemic",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Education and Human Resources (EHR)"
                ],
                "program_reference_codes": [
                    "096Z",
                    "7914",
                    "9178"
                ],
                "program_officials": [
                    {
                        "id": 5752,
                        "first_name": "Carleitta",
                        "last_name": "Paige-Anderson",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-05-01",
                "end_date": "2022-08-31",
                "award_amount": 154923,
                "principal_investigator": {
                    "id": 5754,
                    "first_name": "Felicia",
                    "last_name": "Jefferson",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": null,
                    "keywords": "[]",
                    "approved": true,
                    "websites": "[]",
                    "desired_collaboration": "",
                    "comments": "",
                    "affiliations": [
                        {
                            "id": 953,
                            "ror": "https://ror.org/01keh0577",
                            "name": "University of Nevada Reno",
                            "address": "",
                            "city": "",
                            "state": "NV",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 5753,
                        "first_name": "Jasmine",
                        "last_name": "Paul",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 727,
                    "ror": "https://ror.org/05mpwj415",
                    "name": "Fort Valley State University",
                    "address": "",
                    "city": "",
                    "state": "GA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The Historically Black Colleges and Universities - Undergraduate Program (HBCU-UP) supports RAPID projects when there is a severe urgency with regard to availability of, or access to, data, facilities or specialized equipment, including quick-response research on natural or anthropogenic disasters and similar unanticipated events, such as the COVID-19 pandemic.  The project at Fort Valley State University seeks to investigate the adaptability and educational outcomes of rural HBCU students, many of whom are members of underserved populations, and faculty who are asked to adopt online course delivery as a result of the COVID-19 pandemic. The effects on student retention and learning, and on faculty turnover will be studied. The long-term goal of this project is to study the best mechanism of suddenly introducing rural, underserved, and underrepresented populations to online instruction leading to successful academic outcomes. Many students and faculty from rural HBCUs face unique challenges, including the availability of consistent internet access, the availability of tools for online teaching, and readiness for an online teaching environment. The project investigates the impacts of prompt or forced online lecture and laboratory courses on undergraduate chemistry and biology majors. Using Qualtrics, multivariate analysis, and constructivism theory as the theoretical framework, the impacts of adaptability and educational outcomes of rural HBCU students and faculty will be examined. In addition, the project will study the relationship among the instructors who have no knowledge, little knowledge and good knowledge in teaching online courses using multivariate analysis. Pre and post questionnaires will compare the effects of sudden online learning and teaching among the three groups of faculty and students. The project will also provide assistance to faculty for best practices for online teaching, particularly for laboratory courses.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": "2160",
            "attributes": {
                "award_id": "2031420",
                "title": "RAPID: COVID-19 induced cessation of ecotourism and supplemental feeding: Implications for wildlife physiology, reproduction, and the microbiome",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Biological Sciences (BIO)"
                ],
                "program_reference_codes": [
                    "096Z",
                    "7914",
                    "9178"
                ],
                "program_officials": [
                    {
                        "id": 5839,
                        "first_name": "Theodore",
                        "last_name": "Morgan",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-08-15",
                "end_date": "2022-07-31",
                "award_amount": 184519,
                "principal_investigator": {
                    "id": 5842,
                    "first_name": "Susannah",
                    "last_name": "French",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 375,
                            "ror": "https://ror.org/00h6set76",
                            "name": "Utah State University",
                            "address": "",
                            "city": "",
                            "state": "UT",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 5840,
                        "first_name": "Karen",
                        "last_name": "Kapheim",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 5841,
                        "first_name": "Charles",
                        "last_name": "Knapp",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 375,
                    "ror": "https://ror.org/00h6set76",
                    "name": "Utah State University",
                    "address": "",
                    "city": "",
                    "state": "UT",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Wildlife feeding by tourists is a widespread phenomenon across various species and environments. While it can provide important economic benefits to countries and local communities, it also poses significant challenges for affected wildlife. These widespread practices may induce habituation, cause stress, impact health, and alter growth and survival, all of which can lead to population changes. However, the ability to control for extraneous factors in tourism-related wildlife feeding conditions is often difficult if not impossible, rendering scientific study challenging. Furthermore, the effects of termination of wildlife feeding have rarely been considered. The unprecedented cessation of tourism and food provisioning due to the COVID-19 global pandemic has created a natural experiment that meets the aforementioned challenges to directly test the effects of this phenomenon on critically endangered rock iguanas in The Bahamas. The proposed work will leverage this unique opportunity to test the effects of widescale resource restriction and dietary change on the health of free-living animals. The implications of this work reach far beyond that of the tourist sector and can inform the effects of resource restriction for natural populations across species on a broader scale. Thus, understanding the consequences of supplemental feeding cessation will help inform countries on a broader scale that are working at making tourism practices more sustainable, which is particularly important for endangered species.  The COVID-19 pandemic has created a unique situation via the restriction of human movement and contact resulting in severely reduced global travel. As a result, in countries like The Bahamas, there has been the complete removal of tourist stress and feeding pressures on wildlife across the country. Recent findings by the PIs examining critically endangered iguanas across an insular landscape in The Bahamas have illustrated significant tourist-driven effects on physiology and gut microbial composition. This work has also revealed significant associations among tourism, bacterial abundance, and physiology. The recent and sudden release from supplemental feeding by tourists has created a rare natural experiment by which the PIs can directly test the effects of diet shifts and restriction in natural populations of long-lived iguanas where pre-pandemic data are already available. The PIs will specifically focus on the gut microbiome, and test for direct associations and directionality with physiological systems important to health and survival. Moreover, the ongoing 40-year demographic study in this system will allow the PIs to relate this to survival, growth, and recruitment at the population level. The research group will work to facilitate transfer of results from this study to The Bahamas via long standing research partnerships and will provide opportunistic clarity on potential management strategies moving forward. To reach the broader community, outcomes will also be reported via Shedd Aquarium media and exhibits.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": "2183",
            "attributes": {
                "award_id": "2029420",
                "title": "RAPID: Automated Extraction and Validation of the Gist of Social Media Messages about COVID-19",
                "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",
                    "7914",
                    "9178"
                ],
                "program_officials": [
                    {
                        "id": 5907,
                        "first_name": "Robert",
                        "last_name": "O'Connor",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-07-15",
                "end_date": "2023-06-30",
                "award_amount": 206375,
                "principal_investigator": {
                    "id": 5909,
                    "first_name": "Valerie F",
                    "last_name": "Reyna",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
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                    "affiliations": [
                        {
                            "id": 279,
                            "ror": "https://ror.org/05bnh6r87",
                            "name": "Cornell University",
                            "address": "",
                            "city": "",
                            "state": "NY",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 5908,
                        "first_name": "David A",
                        "last_name": "Broniatowski",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
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                    }
                ],
                "awardee_organization": {
                    "id": 279,
                    "ror": "https://ror.org/05bnh6r87",
                    "name": "Cornell University",
                    "address": "",
                    "city": "",
                    "state": "NY",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "While the novel coronavirus sweeps the globe, democratic societies face a quandary, namely, how to encourage sacrifices to reduce risk, even when the threat is invisible and seems to be receding. When risk is high, individuals may need to engage in extreme forms of social distancing for long periods, but this choice comes with economic and personal costs. Not engaging in these risk-reduction activities, however, could cause millions of deaths. It is therefore crucial for public health communicators to understand rationales for refusing these actions and to base risk communication on empirically supported principles, including the need to convey the gist (bottom-line meaning) of these actions to individuals making these challenging choices.This project consists of three studies, each with two samples at different time points, with the ultimate goal in subsequent studies of converting the gists of social media messages into effective risk-communication interventions. The approach is motivated by Fuzzy Trace Theory–an evidence-based account of health decision making under risk–which posits that decisions are based on qualitative gist representations of stimuli that encode basic meaning in context. The scholars test time-sensitive hypotheses using bottom-up unsupervised machine-learning algorithms to characterize the topics in social media messages about COVID-19 and top-down human judgments about theoretically predictable mental representations of the gist of perceived risks and benefits of risk-reduction behaviors. Study 1 quantifies the prevalence of gists pertaining to social distancing and other risk-reduction behaviors (e.g., hand washing) by extracting millions of social media messages from Twitter and public Facebook posts. This involves automatic coding an ongoing corpus of millions of social media messages using probabilistic topic models. Study 2 provides a systematic approach with human judges to interpreting the topics extracted by a topic model at different time points. Study 3 involves a different group of human judges assessing topics for their consistency with a targeted set of gist representations of risks and benefits, along with gist principles that express values. The researchers adapt items used successfully in prior research. Similar gist representations have predicted self-reported risk-reduction behaviors for numerous health conditions. Thus, for Study 3, the researchers validate topic gists by fielding a theoretically motivated survey analyzed for reliability and construct validity. The focus is on perceptions of the gist of risks and benefits, especially gists that can promote the health of individuals and society. Overall, this project introduces novel techniques for eliciting gists from social media that can be used to generate meaningful public health communications. The project directly informs existing attempts by public health communicators to express the risks, benefits, and actions that members of the population should take to mitigate the spread of the COVID-19 pandemic. The measures are validated against human users, enabling the team to achieve both accuracy and scale. This project serves as the basis for a larger effort that can increase the extent to which gist elicitation may be automated, helping public health communicators to quickly understand which gists should be communicated to which communities during outbreaks.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": "1604",
            "attributes": {
                "award_id": "2032157",
                "title": "RAPID: Adaptive immunity in bats: foundational knowledge for assessing specific pathogen responses in natural coronavirus reservoirs",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Biological Sciences (BIO)"
                ],
                "program_reference_codes": [
                    "096Z",
                    "7914",
                    "9178"
                ],
                "program_officials": [
                    {
                        "id": 4209,
                        "first_name": "Joanna",
                        "last_name": "Shisler",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-06-15",
                "end_date": "2023-05-31",
                "award_amount": 199842,
                "principal_investigator": {
                    "id": 4210,
                    "first_name": "Hannah",
                    "last_name": "Frank",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 305,
                            "ror": "https://ror.org/04vmvtb21",
                            "name": "Tulane University",
                            "address": "",
                            "city": "",
                            "state": "LA",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 305,
                    "ror": "https://ror.org/04vmvtb21",
                    "name": "Tulane University",
                    "address": "",
                    "city": "",
                    "state": "LA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "In recent years a number of infections have passed from non-human animals to humans causing numerous different diseases and creating significant burdens on public health and the economy. In particular, the current COVID-19 pandemic is caused by SARS-CoV-2, a coronavirus whose ancestors likely evolved in a non-human animal. In general, bats host a wide diversity of coronaviruses. Indeed, SARS-CoV-2, like its relative SARS-CoV, the virus that causes SARS, is hypothesized to have its origins in bat hosts. The proposed research seeks to understand how the natural hosts of viruses respond to these infections with a specific focus on bat immunity. Bats are a hugely diverse group that have been linked to numerous emerging human infections but also provide critical ecosystem services such as pest control, seed dispersal and pollination. The research will clarify how bat immunity has shaped the evolution of these viruses. This will yield insights into how to potentially prevent, manage or treat infections in people, as well as protect and better understand bats. The research will also facilitate the training of undergraduate students in genomic laboratory techniques and bioinformatic analysis, training the next generation of scientists. Currently, there is a limited understanding of bat immunity, hampered in part by the diversity of bat species and lack of immunological reagents for studying them. In particular, most research has focused on innate immunity in a few species; almost nothing is known about the immunoglobulins and T cells that form the basis of adaptive immunity. The proposed research overcomes these obstacles by using genomic methods to understand adaptive immunity in multiple bat species. Specifically, the proposed research will 1) analyze the germline and rearranged immunoglobulin and T cell receptor repertoires in multiple, diverse bat species, including known coronavirus hosts, using a mix of gene capture, long-read sequencing, and targeted amplification and sequencing; 2) characterize the cells involved in adaptive immunity using single-cell transcriptomics; and 3) test for coronaviruses in wild bats and compare the immunoglobulin repertoire between infected and uninfected bats. The results will provide foundational knowledge of adaptive immunity of an important reservoir group, clarifying the bat-pathogen relationship in multiple species. These findings can be leveraged by others to characterize the responses of bats to specific pathogens, to predict whether certain species are better equipped to respond to infection, and to guide prevention and intervention efforts for zoonotic disease. This RAPID award is made by the Physiological and Structural Systems Cluster in the BIO Division of Integrative Organismal Systems, using funds from the Coronavirus Aid, Relief, and Economic Security (CARES) Act.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": "1750",
            "attributes": {
                "award_id": "2033957",
                "title": "RAPID: COLLABORATIVE RESEARCH: Resiliency and Vulnerability to COVID-19 in Rural Communities: Health and Socioeconomic Well-Being in the Context of Ethnic Diversity",
                "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",
                    "7914",
                    "9178"
                ],
                "program_officials": [
                    {
                        "id": 4592,
                        "first_name": "Melanie",
                        "last_name": "Hughes",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-07-15",
                "end_date": "2022-06-30",
                "award_amount": 42261,
                "principal_investigator": {
                    "id": 4594,
                    "first_name": "Mark T",
                    "last_name": "Berg",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 220,
                            "ror": "https://ror.org/036jqmy94",
                            "name": "University of Iowa",
                            "address": "",
                            "city": "",
                            "state": "IA",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 4593,
                        "first_name": "Nicole L",
                        "last_name": "Novak",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 220,
                    "ror": "https://ror.org/036jqmy94",
                    "name": "University of Iowa",
                    "address": "",
                    "city": "",
                    "state": "IA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The coronavirus disease 2019 (COVID-19) global pandemic continue to be a major public health crisis in the U.S. Missing from the academic and policy discussion is the pandemic’s impact on smaller communities. Rural places are still highly susceptible to COVID-19 even in the absence of confirmed cases, as the pandemic may just be taking hold. This makes rural places statistically invisible, creating a false sense of rural immunity. There is an urgent need to understand the health and socioeconomic impacts of COVID-19 in understudied rural communities, especially in meat packing towns. Near real-time data collection is needed to understand the full impact of COVID-19 and the effectiveness of recovery efforts, especially among vulnerable rural populations, e.g. older, poor, disabled, immigrant, or minority residents. This project will survey residents of midwestern small towns to: (1) document the health, socioeconomic, and emotional impacts of the pandemic; (2) identify local needs and effectiveness of local and state responses; and (3) understand how impacts, responses, and needs vary across diverse small towns. Findings from the project will inform governmental policies and programs at several levels, thus advancing the health and well-being of rural people and places. Rural places are highly susceptible to COVID-19 even in the absence of confirmed cases, making rural places statistically invisible and creating a false sense of rural immunity. And yet social research to date has disproportionately focused upon the urban impact.  This project will survey n=11,716 residents across 65 small towns (between 800 and 10,000 people) using an existing longitudinal rural panel from the Iowa Small Towns Project (ISTP). These ISTP communities are uniquely vulnerable to COVID-19 because they are home to large meat packing facilities, potentially exacerbating preexisting racial marginalization and stigma. The principal investigators will establish an advisory panel comprised of diverse stakeholders who will guide the project. A comprehensive survey and community engagement strategy will be used to effectively oversample meat packing workers and minority residents. Health impacts will include individual COVID-19 physical health issues, access to and use of healthcare, perceived prevalence in the community, and impact on local healthcare systems. Emotional impacts will include standard depression and anxiety scales (CESD-10 and GAD-7), access to and use of mental health services, and general concern about the pandemic’s impact on family and community. Economic impacts will include household employment and income loss, change in spending patterns, access to and use of economic security programs, and local economic impacts. Social impacts will measure how social capital, social support, and quality of life have been affected by the pandemic. Access and trust of COVID-19 information sources will be measured, as will adherence to social distancing. Residents will be asked to rate pandemic preparedness and responsiveness of governments, healthcare providers, local businesses, and community organizations. Findings from the project will inform sociological theories related to social capital, social stress, and socio-economic inequality, particularly related to health and minority status.  All findings will contribute to larger bodies of literature related to rural sociology, which seeks to understand the social dynamics of rural life in the United States.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": "1756",
            "attributes": {
                "award_id": "2033920",
                "title": "RAPID: COLLABORATIVE RESEARCH: Resiliency and Vulnerability to COVID-19 in Rural Communities: Health and Socioeconomic Well-Being in the Context of Ethnic Diversity",
                "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",
                    "7914",
                    "9178"
                ],
                "program_officials": [
                    {
                        "id": 4615,
                        "first_name": "Melanie",
                        "last_name": "Hughes",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-07-15",
                "end_date": "2022-06-30",
                "award_amount": 157693,
                "principal_investigator": {
                    "id": 4616,
                    "first_name": "David J",
                    "last_name": "Peters",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 192,
                            "ror": "https://ror.org/04rswrd78",
                            "name": "Iowa State University",
                            "address": "",
                            "city": "",
                            "state": "IA",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 192,
                    "ror": "https://ror.org/04rswrd78",
                    "name": "Iowa State University",
                    "address": "",
                    "city": "",
                    "state": "IA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The coronavirus disease 2019 (COVID-19) global pandemic continue to be a major public health crisis in the U.S. Missing from the academic and policy discussion is the pandemic’s impact on smaller communities. Rural places are still highly susceptible to COVID-19 even in the absence of confirmed cases, as the pandemic may just be taking hold. This makes rural places statistically invisible, creating a false sense of rural immunity. There is an urgent need to understand the health and socioeconomic impacts of COVID-19 in understudied rural communities, especially in meat packing towns. Near real-time data collection is needed to understand the full impact of COVID-19 and the effectiveness of recovery efforts, especially among vulnerable rural populations, e.g. older, poor, disabled, immigrant, or minority residents. This project will survey residents of midwestern small towns to: (1) document the health, socioeconomic, and emotional impacts of the pandemic; (2) identify local needs and effectiveness of local and state responses; and (3) understand how impacts, responses, and needs vary across diverse small towns. Findings from the project will inform governmental policies and programs at several levels, thus advancing the health and well-being of rural people and places. Rural places are highly susceptible to COVID-19 even in the absence of confirmed cases, making rural places statistically invisible and creating a false sense of rural immunity. And yet social research to date has disproportionately focused upon the urban impact.  This project will survey n=11,716 residents across 65 small towns (between 800 and 10,000 people) using an existing longitudinal rural panel from the Iowa Small Towns Project (ISTP). These ISTP communities are uniquely vulnerable to COVID-19 because they are home to large meat packing facilities, potentially exacerbating preexisting racial marginalization and stigma. The principal investigators will establish an advisory panel comprised of diverse stakeholders who will guide the project. A comprehensive survey and community engagement strategy will be used to effectively oversample meat packing workers and minority residents. Health impacts will include individual COVID-19 physical health issues, access to and use of healthcare, perceived prevalence in the community, and impact on local healthcare systems. Emotional impacts will include standard depression and anxiety scales (CESD-10 and GAD-7), access to and use of mental health services, and general concern about the pandemic’s impact on family and community. Economic impacts will include household employment and income loss, change in spending patterns, access to and use of economic security programs, and local economic impacts. Social impacts will measure how social capital, social support, and quality of life have been affected by the pandemic. Access and trust of COVID-19 information sources will be measured, as will adherence to social distancing. Residents will be asked to rate pandemic preparedness and responsiveness of governments, healthcare providers, local businesses, and community organizations. Findings from the project will inform sociological theories related to social capital, social stress, and socio-economic inequality, particularly related to health and minority status.  All findings will contribute to larger bodies of literature related to rural sociology, which seeks to understand the social dynamics of rural life in the United States.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": "1792",
            "attributes": {
                "award_id": "2028981",
                "title": "RAPID: Procedural Changes in State Courts During COVID-19",
                "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",
                    "7914",
                    "9178"
                ],
                "program_officials": [
                    {
                        "id": 4728,
                        "first_name": "Naomi",
                        "last_name": "Hall-Byers",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-04-15",
                "end_date": "2021-03-31",
                "award_amount": 34712,
                "principal_investigator": {
                    "id": 4729,
                    "first_name": "Alyx",
                    "last_name": "Mark",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 677,
                            "ror": "https://ror.org/05h7xva58",
                            "name": "Wesleyan University",
                            "address": "",
                            "city": "",
                            "state": "CT",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 677,
                    "ror": "https://ror.org/05h7xva58",
                    "name": "Wesleyan University",
                    "address": "",
                    "city": "",
                    "state": "CT",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "State courts are rapidly changing their operating procedures in response to the COVID-19 pandemic. As courthouses close their doors to the public, judges, administrators, and staff are developing and implementing policies that are responsive to the needs of people who otherwise would rely on in-person court processes for remedies to their civil legal problems. The COVID-19 pandemic provides a unique opportunity to study the generation and consequences of massive change and innovation to court policies and procedures across the United States. This RAPID project will investigate the processes underlying the development of these major institutional changes as state courts respond to the challenges of remote operations during COVID-19, how the various changes are implemented, and the effect of these changes on access to justice for state court consumer populations.By taking advantage of the unique circumstance of forced innovation during COVID-19, the project will examine the procedural changes state courts craft in their move to remote operations. Employing a mixed-method approach, the research will catalogue the rapidly evolving COVID-19 responses in the states. The project will include surveys and interviews of court administrators, judges, and staff about their involvement in the changes and their attitudes about institutional design and implementation. Further, the project will analyze how these changes influence outcomes and processes on state court staff and consumers. By testing theories of institutional arrangements and design, findings from the project will provide an understanding of the external and internal forces that drive institutional change, how policies disperse and replicate across states, and the consequences of institutional design and changes thereto for access to justice during 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
            }
        }
    ],
    "meta": {
        "pagination": {
            "page": 1406,
            "pages": 1424,
            "count": 14236
        }
    }
}