Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1393&sort=program_reference_codes
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=program_reference_codes", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1405&sort=program_reference_codes", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1394&sort=program_reference_codes", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1392&sort=program_reference_codes" }, "data": [ { "type": "Grant", "id": "1551", "attributes": { "award_id": "2031649", "title": "RAPID: The Impact of COVID-19 on Job Loss and Job Creation", "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", "9179" ], "program_officials": [ { "id": 4045, "first_name": "Kwabena", "last_name": "Gyimah-Brempong", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-06-15", "end_date": "2022-05-31", "award_amount": 199967, "principal_investigator": { "id": 4049, "first_name": "John", "last_name": "Haltiwanger", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 297, "ror": "https://ror.org/047s2c258", "name": "University of Maryland, College Park", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 4046, "first_name": "Erkut Yusuf", "last_name": "Ozbay", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 4047, "first_name": "Katharine", "last_name": "Abraham", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 4048, "first_name": "Chenfeng", "last_name": "Xiong", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 297, "ror": "https://ror.org/047s2c258", "name": "University of Maryland, College Park", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "This research project will use anonymized real time cellular phone location data combined with other sources of data to investigate the employment effects of the COVID19 pandemic. The research will develop an innovative theoretical model of job destruction and job creation, at the granular level, in response to the pandemic and use the data assembled to estimate the model. The model does not only account for job destruction and creation at various locations but also changes in the types of jobs created as well as the changing industries in which the jobs are created at the various locations. The new model is likely to influence how researchers investigate the effects of pandemics on employment at various locations. The research results will provide important inputs into how to craft policies to counter the employment effects the current as well as future pandemics particularly, and economic disruptions generally. The results will also establish the US as the global leader in understanding the employment effects of pandemics and how to develop policies to reduce their effects.This research project builds on existing high frequency anonymized cellular telephone data at the MTI to investigate the job destruction and job creation effects of COVID19. The PIs will combine the MTI data with other data sources (e.g. HERE, QCEW, etc.) and use the data and Dingell & Nieman method to construct occupational composition indices based on all 968 Occupational Employment Survey (OES) that allows for teleworking at various locations. The PIs will develop a model of job destruction and job destruction of the various job categories at particular locations. The PIs will then use the indices based on the data constructed to estimate the job destruction/creation model at the granular level. The panel structure of the data allows the PIs to study the short term as well as the long term employment effects of economic shocks. Besides the methodological innovation in this study, the results will also provide guidance on policies to counter the effects of the current and possibly future pandemics. The results will also establish the US as the global leader in understanding the employment effects of pandemics and how to develop policies to reduce its effects.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": "1568", "attributes": { "award_id": "2028429", "title": "RAPID: THE CORONAVIRUS PANDEMIC: PREDICTORS AND CONSEQUENCES OF COMPLIANCE WITH SOCIAL DISTANCING RECOMMENDATIONS", "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", "9179" ], "program_officials": [ { "id": 4095, "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": "2020-05-01", "end_date": "2022-04-30", "award_amount": 200000, "principal_investigator": { "id": 4098, "first_name": "Peggy C", "last_name": "Giordano", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 604, "ror": "https://ror.org/00ay7va13", "name": "Bowling Green State University", "address": "", "city": "", "state": "OH", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 4096, "first_name": "Monica A", "last_name": "Longmore", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 4097, "first_name": "Wendy D", "last_name": "Manning", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 604, "ror": "https://ror.org/00ay7va13", "name": "Bowling Green State University", "address": "", "city": "", "state": "OH", "zip": "", "country": "United States", "approved": true }, "abstract": "The need for social distancing measures implemented in the wake of the novel coronavirus pandemic is well established, but few studies have examined variability in compliance with this public health recommendation. It is particularly important to understand the social factors associated with this variability. This project builds on an ongoing longitudinal study of the life and relationship experiences of a large, diverse sample of young people interviewed first as adolescents, and subsequently interviewed multiple times as they have become adults. This provides an opportunity to interview these women and men to understand the process of navigating the guidelines, including: a) what factors predict more and less compliant responses to the social distancing guidelines; and b) what are the consequences of social distancing for emotional health, behavioral health, and relationship functioning. The findings of the project will alert researchers and policymakers to the myriad of personal and background characteristics that are associated with more or less compliance. This information will allow for the crafting of more effective public policies and messaging about social distancing, with the goal of promoting faster and more complete compliance during future pandemics. Social distancing is a vital tool in fighting the COVID-19 pandemic, but we know little about who complies with guidelines and who does not. This project will draw on six waves of previously collected survey data (n=1,321) from the Toledo Adolescent Relationships Study (TARS) and a new COVID-19 online survey that will be administered to all respondents. These longitudinal data provide a unique opportunity to examine precursors and consequences of variations in response to the current social distancing guidelines. The design also includes in-depth phone interviews with a subset of respondents who were compliant (n=25) and others who did not change behavior or failed to comply consistently (n=25). The qualitative component will provide help to understand compliance as a process, and develop insights about the role of social networks in either encouraging or minimizing the need to comply. In addition to assessing the role of sociodemographic characteristics, the project will analyze the effects of prior adverse childhood and adolescent experiences, economic and social uncertainties, and network embeddedness as influences on levels of compliance. The availability of previous measures of social and behavioral health and prior relationship circumstances will allow the project to determine effects of social distancing and the experience of the pandemic, controlling for prior background. The project will also examine whether consistent reports of depression at prior waves exacerbate or dampen the effect of the recent experience of social distancing. The emphasis on social determinants provides a counterpoint to approaches that conceptualize compliance with health-promoting recommendations as an individualistic, largely cognitive process, and more broadly, will contribute to the emerging science of behavior change. Findings will inform sociological theories regarding identity and symbolic interaction, as well as theories of inequality, especially within the context of extreme events.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": "1569", "attributes": { "award_id": "2027387", "title": "RAPID: Rumor Diffusion During Unrest", "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", "9179" ], "program_officials": [ { "id": 4099, "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": "2020-04-01", "end_date": "2022-09-30", "award_amount": 74000, "principal_investigator": { "id": 4100, "first_name": "Kyounghee", "last_name": "Kwon", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 147, "ror": "https://ror.org/03efmqc40", "name": "Arizona State University", "address": "", "city": "", "state": "AZ", "zip": "", "country": "United States", "approved": true }, "abstract": "This project examines diffusion of rumors and misinformation during unrest. The context is a large city where the COVID-19 outbreak has happened amid a large-scale collective action. By empirically examining how falsehoods feed and are fed by collective behaviors in this situation, the project aims to understand how misinformation and rumors both online and offline co-evolve during a period of unrest. Understanding rumor diffusion during unrest contributes to identifying challenges for consensus building in contemporary communication ecology. By studying rumor diffusion in a large-scale context, the study adds value in knowing how authorities use misinformation. The project will have impact on training of future practitioners in terms of how to deal with news about unrest. Research questions concern variation in rumors, misinformation, and the sharing of these; interpolation of COVID-19 rumors into collective action narratives; differences in the patterns of rumors and rumor-debunking messages; and the association between beliefs in misinformation and participation in collective action. Two methodological approaches are taken. First, string-matching techniques are employed to identify rumors and rumor-debunking messages from a large corpus of digital data, crawled from social media platforms. Computational methods including structural topic modeling and diffusion tree network analysis are used to infer coherent themes across rumor messages and to examine rumor diffusion patterns in terms of depth, width, and interlayer ratios. Second, online surveys are conducted in both regions using a stratified sample of about 1,500 anonymous participants. Regression modeling is performed to understand relationships among beliefs in different types of rumors, institutional trust, and protest support.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": "1570", "attributes": { "award_id": "2026984", "title": "RAPID: The effect of a crisis on intertemporal choice", "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", "9179" ], "program_officials": [ { "id": 4101, "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": "2020-04-01", "end_date": "2022-03-31", "award_amount": 125142, "principal_investigator": { "id": 4103, "first_name": "Thomas L", "last_name": "Griffiths", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 191, "ror": "https://ror.org/00hx57361", "name": "Princeton University", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 4102, "first_name": "Jonathan D", "last_name": "Cohen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 191, "ror": "https://ror.org/00hx57361", "name": "Princeton University", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true }, "abstract": "Every day people have to choose between getting something immediately or getting something even better in the future. Saving for a vacation, retirement planning, and even working towards completing a large project all require foregoing immediate rewards to achieve long-term goals. Psychologists, neuroscientists, and economists have studied how people make these decisions, exploring how the weight put on the present and the future vary across individuals and their situations. Crises, such as the spread of COVID-19 in the United States, involve a unique configuration of stresses that may influence the way that people think about the present and the future. In such crises, short-term thinking can have detrimental consequences.The research team is exploiting a unique and urgent opportunity to document how people’s choice between immediate and delayed rewards changes during a crisis. In January 2020 the team collected a large dataset on inter-temporal choice from over 3,000 participants. The researchers are using this dataset as a baseline for examining how people shift between long-term and short-term during the COVID-19 crisis. Heterogeneous infection rates and remediation strategies in different regions provide an unprecedented natural experiment for examining the impact of these factors on how people make decisions. By collecting an equivalent dataset at multiple points in the progress of the crisis, together with information about local conditions and stress levels, the reseaach team can can explore how these factors influence people’s decisions.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": "1577", "attributes": { "award_id": "2031816", "title": "RAPID: New World bat life histories and the potential for SARS-CoV-2 spillback", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)" ], "program_reference_codes": [ "096Z", "7914", "9179" ], "program_officials": [ { "id": 4125, "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": "2020-07-01", "end_date": "2022-06-30", "award_amount": 200000, "principal_investigator": { "id": 4128, "first_name": "Kathryn A", "last_name": "Hanley", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 307, "ror": "https://ror.org/00hpz7z43", "name": "New Mexico State University", "address": "", "city": "", "state": "NM", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 4126, "first_name": "Tony L", "last_name": "Goldberg", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 4127, "first_name": "Teri J", "last_name": "Orr", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 307, "ror": "https://ror.org/00hpz7z43", "name": "New Mexico State University", "address": "", "city": "", "state": "NM", "zip": "", "country": "United States", "approved": true }, "abstract": "The novel coronavirus SARS-CoV-2 has now infected more than 6,000,000 people worldwide, 370,000 of whom have died. Coronaviruses are notorious for jumping into new host species; indeed SARS-CoV-2 originated via spillover from a wildlife reservoir species, most likely a species of Old World bat, into humans. Arrival of SARS-CoV-2 in the Americas has created an opportunity for the virus to jump into New World bats, which could severely complicate the current public health emergency and threaten bat conservation. A major barrier to identifying which North American bat species are at greatest risk of SARS-CoV-2 “spillback” is the current lack of knowledge about the distribution of coronaviruses in North American bats. To close this knowledge gap 17 target bat species in the Southwest U.S.A. will be characterized for their “viromes” with an emphasis on coronaviruses, and also their the sequence of their cellular receptor, ACE-2, to which SARS-CoV-2 binds. Within species, bats of different sexes, ages and breeding status will be sampled. Molecular data will be combined with information on bat behaviors, migration, group size, and tendency to live near humans, to predict risk of spillback of SARS-CoV-2. Per the NSF-DCL, the results of the project will be used to model and understand the spread of COVID-19. As an additional broader impact, training of a graduate student will be supported by these funds.This project focuses on characterizing the susceptibility of North American bats to SARS-CoV-2 infections. Specifically, two hypotheses will be tested: (i) that susceptibility of New World bat species may be based on genetics, behavior and life stage of each bat species, and (ii) that bat species with a high prevalence and diversity of native coronaviruses may be intrinsically resistant to SARS-CoV-2 infection due to competitive exclusion. Serum, rectal and oral swab samples, wing punches and peripheral blood mononuclear cells (PBMCs), will be collected from 17 bat species across a spectrum of behaviors (sociality, migration, peridomesticity). Within each species, fifty individuals, including, when possible, both sexes and all age and breeding stages, will be sampled in sites of human-bat overlap in New Mexico, Arizona, and Colorado. Samples will be processed for virome characterization using metagenomics based on next-generation DNA sequencing, incorporating recently developed methods that enrich clinical samples for coronaviruses and enable rapid whole-genome sequencing of known and unknown coronaviruses. Additionally, ACE-2 will be sequenced from a subset of individuals in each species. Associations between virus occurrence, prevalence and mean load and behavioral traits and life stage will be analyzed using phylogenetic generalized mixed models and information theory. This study will shed light on how bat behavior, ecology, infection, and ACE-2 sequence may enable or prevent spillback of introduced viruses, with SARS-CoV-2 serving as a critically important study system. 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": "1605", "attributes": { "award_id": "2032006", "title": "RAPID: Collaborative Research: Immunological adaptations in bats to moderate the effect of coronavirus infection", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Biological Sciences (BIO)" ], "program_reference_codes": [ "096Z", "7914", "9179" ], "program_officials": [ { "id": 4211, "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": "2022-06-30", "award_amount": 105116, "principal_investigator": { "id": 4212, "first_name": "David A", "last_name": "Ray", "orcid": "https://orcid.org/0000-0002-3340-3987", "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": "['http://www.davidraylab.com/']", "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 270, "ror": "https://ror.org/0405mnx93", "name": "Texas Tech University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 270, "ror": "https://ror.org/0405mnx93", "name": "Texas Tech University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "All aspects of society have been upended by COVID-19. While most research has understandably focused on clinical applications, how the ancestors of SARS-CoV2 survive and circulate in nature is vital to both prevent future epidemics and help health professionals develop therapeutic treatments. Because some bat species are natural carriers of many coronaviruses, including the closest known relatives of SARS-CoV-2, the team supported by this award will identify consistent differences between bats and other mammals likely involved in moderating infection by regulating virus entry and mounting an effective immune response. This project will address how bats escape illness despite carrying a wide range of viruses. As part of this work, the research team will develop educational displays related to the bat immunology for public display at the Museum of Texas Tech. Results for the study will also be published in peer-reviewed journals, presented at scientific meetings, and posted to shared data repositories.Researchers supported by this award hypothesize there are consistent differences in the genes involved in the immune response pathways of bats compared to other mammals, such that: a) bats show disproportionate numbers of unique genomic adaptations; b) there is higher expression of immune system genes in bats than in comparable mouse and human tissues, and c) expression of genes involved in coronavirus cell entry in bats differs in RNA profile, limiting the extent pathogenesis when compared to humans and mice. To test these hypotheses, the team will analyze genome structure across diverse bats species, and differential expression analysis of different tissues, in the context of viral tropism and immune response. Resulting data will inform researchers and clinicians as they anticipate and treat these respiratory syndromes. 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": "1619", "attributes": { "award_id": "2031184", "title": "RAPID: Electricity Consumption as a Real Time Indicator of Economic Activity", "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", "9179" ], "program_officials": [ { "id": 4245, "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": "2020-09-01", "end_date": "2022-08-31", "award_amount": 199343, "principal_investigator": { "id": 4246, "first_name": "Steven", "last_name": "Cicala", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 407, "ror": "", "name": "National Bureau of Economic Research Inc", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 407, "ror": "", "name": "National Bureau of Economic Research Inc", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "In order to understand the effects of COVID-19 on the US economy, we need measures of economic activity that can keep pace with the spread of the virus. This means measures that can be constructed not just for the nation as a whole, but for states and localities. It also means measures that can be constructed very quickly from available data sources; it takes months to finalize existing economic statistics. This award funds a project that seeks to meet this urgent need by using existing data streams that measure electricity consumption. The available data divide the US into 100 different geographic zones and are measured hourly. The PI will use statistical methods to determine how past economic crises have affected electricity consumption. The results will help them see when and how electricity generation is a useful economic indicator. If successful, the project will give policymakers and businesses better measures of how the economy is performing during fast-moving crises.The team will develop a real-time index of economic activity using weather-adjusted electricity consumption. Data will come from publicly available sources, including the individual Independent System Operators (ISOs) that conduct wholesale electricity markets, the Energy Information Administration (EAI), Federal Energy Regulatory Commission (FERC), and the European Network of Transmission System Operators for Electricity (ENTSO-E). The data will be merged for weather state from the National Weather Service’s Automated Surface Observing Systems (ASOS) to control for the effect of heating and cooling needs on electricity demand.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": "1633", "attributes": { "award_id": "2022216", "title": "RAPID: Media Exposure, Objective Knowledge, Risk Perceptions, and Risk Management Preferences of Americans Regarding the Novel Coronavirus Outbreak", "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", "9179" ], "program_officials": [ { "id": 4288, "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": "2020-03-15", "end_date": "2023-02-28", "award_amount": 124990, "principal_investigator": { "id": 4290, "first_name": "Branden", "last_name": "Johnson", "orcid": "https://orcid.org/0000-0003-2264-5419", "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 149, "ror": "", "name": "Decision Science Research Institute", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 4289, "first_name": "Marcus W", "last_name": "Mayorga", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 149, "ror": "", "name": "Decision Science Research Institute", "address": "", "city": "", "state": "OR", "zip": "", "country": "United States", "approved": true }, "abstract": "The sudden observation in Wuhan, China, in December, 2019, of humans infected with a new virus (officially 2019-nCoV virus and COVID-19 disease, publicly known as “the coronavirus”) provides yet another example of scientists and policymakers being surprised as a virus observed in animal and/or bird populations, or transmitted by mosquitoes, became infectious and damaging in humans (e.g., two coronaviruses: SARS 2002-2003, MERS 2012; recent major outbreaks of Ebola virus, 2014-2016, and Zika virus, 2015-2017). Understanding dynamics of public responses to such events under uncertainty is necessary to learn how to avoid either undue apathy or undue panic. This project explores how Americans’ views of and behavior towards the coronavirus change—or do not change—over 9 months. This will serve the national interest in progress in science by improving our understanding of how people’s beliefs, attitudes, and behaviors interact both within the same person over time, and between people with individual differences in attitudes at a given time. The research tests a novel model of how views of personal and collective solutions to what appears to be an emerging pandemic are affected by beliefs and attitudes, which builds upon prior work including the Protection Action Decision Model. The research also may improve public health and prosperity by revealing what factors are associated with particular reactions that may make public health protection easier or harder to implement. It thus affects whether quarantines, travel bans, and other policies meant to be protective hamper or amplify economic growth as well. The project also tests messages about false beliefs and flu vaccine efficacy that may inform public health risk communication and thus improve public health.A longitudinal study design surveys the same Americans five times at 2-month intervals, thus over 9 months total. Each wave of the project asks the same questions: perceived risk; emotional reactions to the virus; reported personal protective behavior and support for actual or potential government policies; and beliefs about those behaviors and policies; trust in government; subjective and objective knowledge about the virus; psychological distance from the virus; how much individuals are following news about the virus; and which types of traditional and social media sources they use and which outlets they use (e.g., different TV channels or different social media sites). Repeating these questions over time allows the research team to examine whether changes occur in these views and behaviors over time, or relations between factors over time (for example, do risk perceptions actually predict later protective behaviors). Certain other factors, such as culture, conspiracy thoughts, and blatant and subtle prejudice—are measured during one survey wave as a control. The survey is complemented by content analysis of mass and social media information from sources that respondents report using, so the researchers can test effects of that exposure on objective knowledge, risk perceptions, and behaviors. An information manipulation experiment embedded in the last survey will allow testing of whether vaccination intentions for the influenza (“flu”) virus can be increased in light of perceived threat from this coronavirus, and whether false beliefs about the coronavirus threat and management can be diminished in the short-term.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": "1717", "attributes": { "award_id": "2028409", "title": "RAPID: The Roles of Organizational Contextual Factors in Worker Reactions to 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", "9179" ], "program_officials": [ { "id": 4496, "first_name": "Tara", "last_name": "Behrend", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-05-15", "end_date": "2022-04-30", "award_amount": 71098, "principal_investigator": { "id": 4498, "first_name": "Chu-Hsiang", "last_name": "Chang", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 521, "ror": "https://ror.org/05hs6h993", "name": "Michigan State University", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 4497, "first_name": "Ruodan", "last_name": "Shao", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 521, "ror": "https://ror.org/05hs6h993", "name": "Michigan State University", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "The outbreak of COVID-19 has caused great concerns worldwide. COVID-19 directly affects the physical, financial, and psychological well-being of those who live in close proximity to the outbreak areas. Because of its potential threat to physical health, it has widespread effects on the thought processes and behaviors of the global population. This project seeks to understand the impact of COVID-19 by examining how it affects workers’ perceptions of the health-related threat, their emotional and motivational reactions towards the threat, and their downstream work-related behaviors. This project will analyze workers’ anxiety and desire to make a lasting and meaningful impact to their environment as different reactions towards COVID-19. These reactions, in turn, can lead to different levels of work performance, helping behaviors, and withdrawal from the workplace. Importantly, the project will test if and how the organizational context may play an important role in encouraging effective versus dysfunctional coping among workers when facing threats related to COVID-19. Results from the project will enhance understanding of how workers react to health-related threat information, and how their productivity and well-being may be affected by the information. Results will also equip organizations with knowledge to create a context that will help employees adapt to the threat brought on by COVID-19 or other similar life-threatening crises. More broadly, this project will clarify how organizations and managers can transform negative crises and challenges into opportunities to boost workforce morale and prosocial motivation. The goal of the proposed research is to understand the impact of COVID-19 among working adults within the context of the pandemic. The project conceptualizes COVID-19 as a salient mortality cue and will analyze individual employees’ adaptive reflection and maladaptive anxiety as responses to this cue. The project will also analyze how reflection may be related to employees’ positive coping behaviors such as productivity and helping, whereas anxiety as a maladaptive reaction may be associated with negative behaviors such as withdrawal. Finally, the project will examine the organizational contextual factors that may exacerbate or ameliorate workers’ reactions towards the threat of COVID-19. The project will consider organizational health climate, ethical leadership, and corporate social responsibility practices as critical factors that may promote the adaptive reactions towards COVID-19. The project will use time-lagged, three-wave surveys to collect data from working adults; structural equation modeling and conditional indirect effect tests will be employed to evaluate research questions. Findings from the project will inform organizational theories related to those involving terror management and generativity.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": "1719", "attributes": { "award_id": "2026337", "title": "RAPID: Uncertain Risk and Stressful Future: A National Study of the COVID-2019 Outbreak in the U.S.", "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", "9179" ], "program_officials": [ { "id": 4502, "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": "2020-03-15", "end_date": "2021-02-28", "award_amount": 200000, "principal_investigator": { "id": 4506, "first_name": "Roxane C", "last_name": "Silver", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 4503, "first_name": "Ellen", "last_name": "Holman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 4504, "first_name": "John M", "last_name": "Dennis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 4505, "first_name": "Dana Rose", "last_name": "Garfin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 177, "ror": "", "name": "University of California-Irvine", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "In December 2019, scientists identified a novel Coronavirus (COVID-2019) that was associated with an outbreak of pneumonia in Wuhan, China and that was suspected of being zoonotic in origin. On March 11, 2020, the World Health Organization declared the outbreak a pandemic, and on March 13, 2020, U.S. President Donald Trump declared a national emergency. Because individuals can transmit the illness prior to exhibiting symptoms (i.e., an “invisible threat”), and in the absence of a vaccine for protection, the severity of this crisis and the timing of containment in the United States is unknown. In the context of this uncertainty and ambiguity about the immediate future, the research team studies emotional (fear, worry, distress), cognitive (perceived risk), and behavioral (media use, health protective behaviors) responses to the COVID-19 outbreak and how these early responses shape outcomes over time. The scholars examine how widespread media coverage of the COVID-19 outbreak is associated with acute stress responses to the threat, its success (or failure) in affording people the information needed to understand the threat, and how cognitive and affective processes shape risk assessments, behavioral responses, and mental health outcomes. This project is unique in studying the effects of risk perceptions, health protective behaviors, and acute stress on adjustment as an ambiguous global health threat unfolds. The research is a longitudinal study of 5,000 people from the AmeriSpeak panel, a probability-based nationally representative sample of U.S. households on whom “baseline” mental and physical health data have been collected prior to the start of the COVID-19 threat in the U.S. Two surveys administered over the next year examine respondents’ risk perceptions, fear, media use, health protective behaviors, and distress surrounding the outbreak. The sample is drawn using sample stratification to assure sample representativeness with respect to age, gender, race/ethnicity, and Census Region. For Wave 1, the drawn sample is randomly assigned to one of three nationally representative replicates (i.e., cohorts) that have non-overlapping data collection periods of 2 calendar weeks, for a total of a 6-week fielding period. Each cohort thus represents a representative sample whose interviews are generalizable to point-in-time survey estimates for the 2-week period to which the cohort is mapped. A second survey is fielded on the Wave 1 sample within the next year, as the crisis unfolds (or abates). Overall, this study assesses risk perceptions, media use, acute stress, social norms, self- and response-efficacy, and protective behaviors at the start of an ambiguous and deadly domestic threat on a large representative sample with existing pre-threat mental and physical health data. This provides a unique opportunity to examine national responses to an ongoing public health crisis as it unfolds, producing research with both theoretical and practical importance. The team has five specific aims: 1) Estimate COVID-19-related media exposure, COVID-19 risk perceptions, trust in institutions managing (and communicating about) COVID-19, and behavioral and emotional responses to perceived COVID-19 threat; 2) Investigate how type (e.g., television, Twitter, online news), amount (e.g., total hours), and content (e.g., imagery) of COVID-19-related media coverage are associated with risk perceptions, and behavioral and emotional responses (e.g., acute stress, somatization, depression); 3) Examine how ambiguity of the COVID-19 threat and inconsistencies in official communications about this threat are associated with perceived risk, as well as emotional and behavioral responses; 4) Investigate whether prior exposure to individual (e.g., childhood violence) and collective (e.g., 9/11) stress are associated with COVID-19-related risk perceptions and behavioral and emotional responses to the COVID-19 threat; and 5) Contrast key theories of health behavior in an epidemiological sample responding to a current and evolving threat. We expect that information collected in this research will advance future conceptual work on coping with highly stressful events by furthering our understanding of the extent to which traditional and non-traditional media coverage of the Coronavirus outbreak may be affecting individuals’ risk perceptions and acute stress responses to it, providing information to facilitate early identification of individuals at risk for subsequent difficulties following potential public health crises, and explicitly integrating the stress and coping literature with the literature on risk analysis and perception.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": 1393, "pages": 1405, "count": 14046 } } }