Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1405&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=1419&sort=program_reference_codes", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1406&sort=program_reference_codes", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1404&sort=program_reference_codes" }, "data": [ { "type": "Grant", "id": "2059", "attributes": { "award_id": "2028567", "title": "RAPID: Collaborative Research: A Comparative Study of Expertise for Policy in the COVID-19 Pandemic", "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": 5528, "first_name": "Frederick", "last_name": "Kronz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-05-01", "end_date": "2021-04-30", "award_amount": 63393, "principal_investigator": { "id": 5529, "first_name": "Stephen", "last_name": "Hilgartner", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 279, "ror": "https://ror.org/05bnh6r87", "name": "Cornell University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 279, "ror": "https://ror.org/05bnh6r87", "name": "Cornell University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "As policy makers work to avert catastrophic health and economic outcomes due to COVID 19, they are struggling with a difficult question: What makes expert knowledge credible, legitimate, and reliable for use in public policy? That question is especially urgent since national and regional authorities are facing scientific uncertainty and fast-moving events that cross geopolitical borders, and the need for quick action stands in tension with the need to ground policy in robust expert knowledge and convincing analysis. Ways of identifying trustworthy sources of expertise is essential, but they remain largely vested in governments with their differing institutions, research traditions, cultural commitments, and civic beliefs. The PIs will conduct a multi-sited investigation in ten regions that will capture detailed information about the COVID 19 crisis as it unfolds, and then conduct a rigorous comparative analysis to provide a better understanding of the relationship between expertise and trust, a critically important nexus for policy makers in an era of decentralized information and polarized politics. Effective dissemination of results to critical policy analysts and policy communities is key to the success of this project. To achieve this goal, the PIs will utilize the extensive connections that they and their collaborative partners have to science policymakers and national and international organizations.The PIs have assembled a team of research partners, well established STS scholars in ten regions, who have agreed to participate in the project. This team will collect and analyze publications and public documents pertaining to COVID-19 policy making in each region. These materials will provide the basis for STS-based accounts of knowledge and policymaking in each region for the comparisons that are central to this project. To provide that account, they will build a basic policy timeline tracking key events and decisions in each region’s response to the pandemic. Tracking these moves will enable them to document change and analyze variations in how issues are framed and evidence is gathered. They will also collect information on uncertainties (such as scope and limitations of scientific knowledge) and controversies, with a focus on the most contentious aspect of coronavirus policy in each region. In addition, they will track carefully chosen objects as they are incorporated into policy discussions. Such objects include particularly influential epidemiological and epistemic models, widely circulated visual representations, key policy concepts, and knowledge claims about the availability, effectiveness, and future prospects of medical interventions.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": "2060", "attributes": { "award_id": "2028055", "title": "RAPID: Working and Teaching from Home in New York State amidst the COVID-19 Pandemic", "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": 5530, "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": 97058, "principal_investigator": { "id": 5531, "first_name": "Amy", "last_name": "Lutz", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 579, "ror": "https://ror.org/025r5qe02", "name": "Syracuse University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 579, "ror": "https://ror.org/025r5qe02", "name": "Syracuse University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "As a result of the COVID-19 pandemic, schools in New York State have been closed since mid-March and many workers are also working from home. This creates unique stressors for parents who are struggling to oversee their children’s education while doing their normal jobs from home or working as an essential worker. Most of these parents have no previous experience with this form of homeschooling and many are working with their children to complete online schooling content. Also, many parents have limited experience working from home. This project will interview parents about their experiences with work and this form of homeschooling in the context of the COVID-19 pandemic. Key research questions include: Who is overseeing children’s at-home work? Are there gendered patterns to overseeing children’s schoolwork and how do they present themselves? Do parents and children have adequate technology at home to both work and do schoolwork at home in the context of online educational plans? How do parents balance their work and school arrangements? How do parents organize their day around children’s schoolwork and work? What stressors do parents face in this new arrangement? Do parents have adequate support from schools and teachers to provide for implementing their children’s at-home learning? Findings from the project will inform both educational and business leaders regarding the challenges that are involved in teleworking and this form of homeschooling simultaneously, thus enabling better response to the current pandemic as well as better preparedness for future events that may require this combination activities at home. The COVID-19 pandemic has changed both working and educational arrangements for many families in the United States. This project will conduct qualitative phone interviews of parents in and around Syracuse, New York, who are teaching their K-12 children at home while also working. Fifty or more parents will be identified through snowball sampling and the use of a parenting Facebook page that has wide use throughout the Syracuse area. Using the Facebook site will help to obtain a more diverse sample than snowball sampling alone could produce. Interviews will be conducted using open-ended questions including follow-up questions as necessary. Interviews will be recorded and transcribed. The project will use the online qualitative software Dedoose and flexible coding techniques to code the interviews, followed by analytic coding. The project will also identify the central stories in the data. Findings from the project will inform sociological theories regarding work and family arrangements, especially within the context of household combinations of teleworking and homeschooling.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": "2079", "attributes": { "award_id": "2028585", "title": "RAPID: Collaborative Research: A Comparative Study of Expertise for Policy in the COVID-19 Pandemic", "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": 5583, "first_name": "Frederick", "last_name": "Kronz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-05-01", "end_date": "2023-04-30", "award_amount": 32211, "principal_investigator": { "id": 5584, "first_name": "Sheila S", "last_name": "Jasanoff", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 455, "ror": "https://ror.org/03vek6s52", "name": "Harvard University", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 455, "ror": "https://ror.org/03vek6s52", "name": "Harvard University", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "As policy makers work to avert catastrophic health and economic outcomes due to COVID 19, they are struggling with a difficult question: What makes expert knowledge credible, legitimate, and reliable for use in public policy? That question is especially urgent since national and regional authorities are facing scientific uncertainty and fast-moving events that cross geopolitical borders, and the need for quick action stands in tension with the need to ground policy in robust expert knowledge and convincing analysis. Ways of identifying trustworthy sources of expertise is essential, but they remain largely vested in governments with their differing institutions, research traditions, cultural commitments, and civic beliefs. The PIs will conduct a multi-sited investigation in ten regions that will capture detailed information about the COVID 19 crisis as it unfolds, and then conduct a rigorous comparative analysis to provide a better understanding of the relationship between expertise and trust, a critically important nexus for policy makers in an era of decentralized information and polarized politics. Effective dissemination of results to critical policy analysts and policy communities is key to the success of this project. To achieve this goal, the PIs will utilize the extensive connections that they and their collaborative partners have to science policymakers and national and international organizations.The PIs have assembled a team of research partners, well established STS scholars in ten regions, who have agreed to participate in the project. This team will collect and analyze publications and public documents pertaining to COVID-19 policy making in each region. These materials will provide the basis for STS-based accounts of knowledge and policymaking in each region for the comparisons that are central to this project. To provide that account, they will build a basic policy timeline tracking key events and decisions in each region’s response to the pandemic. Tracking these moves will enable them to document change and analyze variations in how issues are framed and evidence is gathered. They will also collect information on uncertainties (such as scope and limitations of scientific knowledge) and controversies, with a focus on the most contentious aspect of coronavirus policy in each region. In addition, they will track carefully chosen objects as they are incorporated into policy discussions. Such objects include particularly influential epidemiological and epistemic models, widely circulated visual representations, key policy concepts, and knowledge claims about the availability, effectiveness, and future prospects of medical interventions.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": "2082", "attributes": { "award_id": "2027094", "title": "RAPID: Evolution of Public Risk Perception and Mental Models Regarding 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": 5594, "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": 199717, "principal_investigator": { "id": 5597, "first_name": "Andrew", "last_name": "Parker", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 5595, "first_name": "Melissa L", "last_name": "Finucane", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 5596, "first_name": "Katherine G", "last_name": "Carman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 515, "ror": "https://ror.org/00f2z7n96", "name": "RAND Corporation", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "In crises such as the emergence of COVID-19, the public is a critical response partner. Novel threats are concerning to the public, but often poorly understood, with misunderstanding leading to inappropriate reactions. Clarifying when and why misperceptions occur is important because resulting behavior can contribute to disease spread, supply shortages, and unnecessary health-care system burden. Central are individual mental models, intuitive theories made up of related beliefs or perceptions individuals have about a risk, which may or may not align with scientific consensus. Mental models form a foundation for how people conceive risk, structure decisions, and their risk-related behaviors. This project follows individuals’ risk perceptions, mental models, and risk behaviors over the course of the COVID-19 pandemic, capitalizing on a time-sensitive opportunity to push forward the science on public risk responses to crises, within a concrete public health context. The primary goal is to longitudinally track risk perceptions, mental models, and risk-related behaviors within individuals over the course of the COVID-19 pandemic. Secondary goals are to develop new methodological approaches to process and analyze large-sample mental models data and engage experts on our approach and needs for larger infrastructure. The project leverages existing data and planned survey data collection, building out a longitudinal assessment to be able to capture changes in risk perceptions, mental models, and behaviors. The surveys use freelisting, a simple free-association technique from anthropology, to gather a large-sample picture of people’s risk mental models. The research team employs automated lexical analysis tools to process the data and network analytic techniques to map out the mental models. The team uses regression analysis to examine relationships among mental models, risk perceptions, behavior, and their change over time.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": "1381", "attributes": { "award_id": "2030830", "title": "RAPID: Effective Recovery for Organizations from the COVID-19: Optimizing Strategic Responses", "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": 3561, "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": 120925, "principal_investigator": { "id": 3563, "first_name": "Gwendolyn K", "last_name": "Lee", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 158, "ror": "https://ror.org/02y3ad647", "name": "University of Florida", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 3562, "first_name": "Mo", "last_name": "Wang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 158, "ror": "https://ror.org/02y3ad647", "name": "University of Florida", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true }, "abstract": "How do business organizations recover from a crisis? Studies of crises show that human communities differ significantly in their responses; a crisis presents individual organizations and communities of organizations with a common problem, yet solutions may be elusive. This project will advance basic knowledge about the effectiveness of organizational recovery in response to the COVID-19 pandemic and global economic crisis. The project will help organizations and managers to better understand the conditions under which organizations responding to a crisis of unprecedented magnitude may recover more effectively. Results will equip organizations and managers with knowledge and skills about how to choose strategic responses to crisis, by highlighting the insights derived from study conditions. In collaboration with the University of Florida Entrepreneurship and Innovation Center, the project will disseminate results to business and scientific communities by providing free-of-charge webinars that explain to managers and researchers the strategic responses that can help organizations, particularly small-and-medium sized enterprises, to more effectively recover from the current crisis. Project findings and activities will help to ensure the economic competitiveness of the United States and promote our nation's safety and security. When crises occur, business organizations need to move strategically to recover, but leaders and managers may be unclear as to which actions to take. The project will provide prescriptive theoretical directions for the development of processes and actions toward effective recovery from the COVID-19 pandemic and global economic crisis. The project will classify, explain, and evaluate organizations’ strategic responses to the current crisis for effective recovery and answer three research questions: First, among the multiple paths toward organizational recovery, which ones are more effective? Second, what organizational and environmental factors are most conducive to effective recovery? Third, would dynamic adaptation (e.g., switching resource allocation from the organization’s own rebuilding to community-based self-organizing efforts, and vice versa) be effective for recovery? Interview data will be used to inform, validate and improve a computational model designed to explain and evaluate the effectiveness of strategic responses of organizations. The project will use this model to compare a wide range of variation in responses, and probe the conditions under which certain responses could be more effective for organizational recovery. The project will produce: (1) a multi-level taxonomy of strategic responses to crisis for organizational recovery and (2) an explanation and evaluation of strategic responses to crisis for effective recovery. Using a mixed-method approach, the project will not only corroborate a computational model with interview data, but also use the model to extend understanding beyond case observations. Findings will inform theories of organization regarding business strategy, especially within the context of crises and 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": "1393", "attributes": { "award_id": "2032044", "title": "RAPID: Evaluating the potential for SARS-CoV-2 spillback infections of native North American wildlife", "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": 3597, "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": "2020-06-01", "end_date": "2022-05-31", "award_amount": 199791, "principal_investigator": { "id": 3601, "first_name": "Sonia M", "last_name": "Hernandez", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 160, "ror": "", "name": "University of Georgia Research Foundation Inc", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 3598, "first_name": "Michael J", "last_name": "Yabsley", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 3599, "first_name": "Daniel G", "last_name": "Mead", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 3600, "first_name": "Nicole M", "last_name": "Nemeth", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 160, "ror": "", "name": "University of Georgia Research Foundation Inc", "address": "", "city": "", "state": "GA", "zip": "", "country": "United States", "approved": true }, "abstract": "SARS-CoV-2 originated from a bat, likely passing through another animal before it infected people. The objective is to determine if two North American native wildlife species can be infected with SARS-CoV-2, the causative agent of COVID-19, which to date has not been evaluated. Skunks and raccoons are closely related to other species that are known to be susceptible with this virus, and are highly abundant in human environments, frequently consuming human refuse. Both species are also handled frequently in wildlife research and rehabilitation settings—creating situations where spillback of the virus from people to them is likely. Further, this study will investigate whether skunk-to-skunk and racoon-to-raccoon transmission is possible, needed to forecast what would happen if this virus spilled into our native wildlife; the worst case scenario is that these species become reservoirs of the virus for people. Skunks and raccoons will be inoculated with two doses of SARS-CoV-2 that represent doses they might encounter the environment, or when in close contact with people. Nasal and fecal samples will be collected after inoculation and tested using two detection methods. Blood will also be collected at intervals to determine if these species create antibodies against the virus. In addition to rapidly disseminating this information to wildlife management agencies, presenting and publishing the results, this work will train three graduate and two undergraduate students on animal husbandry, experimental infections, and various laboratory analyses.The objective of this study is to identify if two North American native wildlife species that represent a high likelihood of susceptibility and ecological opportunity—skunks and raccoons—are susceptible to infection with SARS-Cov-2. Current phylogenetic evidence indicates a spillover event from an animal host prompted the COVID-19 pandemic, thus, understanding susceptibility of animal species is paramount. Researchers will assess clinical outcome, duration and route of virus shedding, and seroconversion and pathology to understand the: 1) potential reservoir status of these common and abundant, peridomestic, mammalian wildlife species and, 2) likelihood of virus spillover from humans to these species. Results will guide proactive actions to manage contact between humans, domestic animals and wildlife—crucial to combat the ongoing COVID-19 pandemic. Animals will be acquired from a captive breeder and housed in BSL3 facility. Three pairs of each species will be intranasally inoculated with one of two doses of SARS-CoV-2 (103 and 105 plaque forming units). To determine direct contact transmission, at Day 1 post-inoculation, we will add one animal to each pair of inoculated animals. Post-inoculation, nasal and rectal swabs for qrtPCR and virus isolation and blood samples from both inoculated and direct contact animals will be collected up to 21 days. All animals will be monitored for clinical signs daily by a veterinarian and humanely euthanized, whereby a complete post-mortem examination will be conducted. 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": "1420", "attributes": { "award_id": "2031626", "title": "RAPID: CLEARED: Culture of Living-biopsies for Emerging Airway-pathogens and REspiratory Disease", "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": 3671, "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": "2021-06-30", "award_amount": 138793, "principal_investigator": { "id": 3675, "first_name": "Wallace G", "last_name": "Sawyer", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 158, "ror": "https://ror.org/02y3ad647", "name": "University of Florida", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 3672, "first_name": "Brent S", "last_name": "Sumerlin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 3673, "first_name": "Stephen", "last_name": "Eikenberry", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 3674, "first_name": "Matthew", "last_name": "Schaller", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 158, "ror": "https://ror.org/02y3ad647", "name": "University of Florida", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true }, "abstract": "The ongoing COVID-19 pandemic has highlighted the lack of human cell culture models available for studying this virus, and the devastating consequences of this shortcoming as it relates to human health and disease. The proposed project, known as “CLEARED” for Culture of Living-biopsies for Emerging Airway-pathogens and REspiratory Disease, combines cutting-edge technologies in 3D-printing, soft tissue engineering, artificial-intelligence-enhanced imaging, human lung biology, and virology to understand the spread of COVID-19 in lungs. This will increase the knowledge of SARS-CoV-2 biology and transmission. The researchers have developed the technology to grow portions of lung into living 3D-printed tissue structures that resembles the architecture found in the lung in a liquid-like-solid matrix. Thus, this system more closely resemble the environment in living humans versus standard cell culture. After infecting these samples with SARS-CoV-2 virus, advanced imaging of these “living biopsies” will be used to study virus spread from cell to cell, and the efficacy of therapeutic treatments. Outcomes of the proposed research include: (i) Validating a standard model system using human lung biopsies and known diagnostics in response to SARS-CoV-OC43 infection; (ii) Determining how the disease develops and spreads in biopsies infected with different human and bat coronavirus strains. It is expected that this system will allow scientists to better understand virus transmission and prevention. This project also supports the training of three graduate students, leading to an increase in future workers to drive the bioeconomy.The proposing team hypothesizes that controlled perfusion of SARS-CoV-2 in 3D culture models of human respiratory microtissue explants can recapitulate early stages of SARS-CoV-2 infection and COVID-19 disease. To test this hypothesis, PIs will establish a 3D model of viral infection using living microtissue explants of human bronchus and peripheral lung, quantify the early responses to viral infection using a novel 3D tissue culture platform, and determine the spatiotemporal pathogenesis of different human and bat coronaviruses strains. Preliminary data show that SARS-CoV-2 indeed infects the micro-tissues of bronchus and peripheral lung. This is a transdisciplinary team of investigators from Astronomy, Chemistry, Medicine, Engineering, Virology and lung biology. The proposed work is organized by two tasks. Task 1 will validate a standard model system using human lung biopsies and known host-response to SARS-CoV-2 infection. Readouts will include viral titer, cytokine production and spatiotemporal imaging of viral replication in response to coronavirus infection. Task 2 will determine the spatiotemporal pathogenesis of human lung biopsies infected with different human coronavirus strains (HCoV-OC43, HCoV-NL63, SARS-CoV-2) and one bat strain (btCoV-HKU3). The heterogenous nature of biopsies will alter the viral titer and cytokine production of biopsies compared to measurements in cell lines, and will provide superior information about progression and virus spread through tissues than standard cell culture technology. 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": "1427", "attributes": { "award_id": "2028683", "title": "RAPID: Evaluating the Impact of COVID-19 on Labor Market, Social, and Mental Health Outcomes", "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": 3692, "first_name": "Cheryl", "last_name": "Eavey", "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": 3697, "first_name": "Daniel M", "last_name": "Bennett", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 3693, "first_name": "Elizabeth A", "last_name": "Stuart", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 3694, "first_name": "Wandi Bruine de", "last_name": "Bruin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 3695, "first_name": "Frauke", "last_name": "Kreuter", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 3696, "first_name": "Johannes", "last_name": "Thrul", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 152, "ror": "https://ror.org/03taz7m60", "name": "University of Southern California", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "This research project will advance understanding of the economic, social, and mental health toll of the COVID-19 pandemic. The pandemic is quickly eroding the social and economic platform the world is built upon. Quality data must be gathered quickly in order to understand the impact of the pandemic on human life. This project will collect robust data on people's experiences in the U.S. during the pandemic, including data collected quickly via social media platforms. The project also will develop methodology to facilitate the effective use of different data sources. Because experiences both within the U.S. and across countries vary widely, the investigators will collaborate with researchers in five countries outside the U.S. By implementing the same measures of experienced outcomes in similar surveys across the globe, a unique comparison is possible about the effectiveness of the policies that have been implemented across countries. The project results will provide insights for academics, practitioners, and policy makers who are seeking to understand and inform policies to curb the pandemic and its consequences. Data collected by this project, links to other data, and project findings will be made available through dashboards for policy makers, researchers, and the interested public. The investigators will record podcasts and webinars to broadly disseminate the results. Graduate students will be trained in the conduct of collaborative multi-site research.This project will leverage data collected as part of an ongoing tracking study of American households in the Understanding America Study. Survey data also will be collected via Facebook and Instagram. Research questions to be addressed by the data include: Which policies have helped to reduce anxiety and depression during this pandemic? Which individuals are at greatest risk for economic losses during the pandemic and what measures have helped them the most? How do these economic losses influence willingness to engage in social distancing, and which policies have helped people to stay at home in the face of economic losses? The project also will develop new survey weighting approaches to make use of the simultaneous collection of data with different sampling frames, sampling schemes, and modes. The availability of multiple data sources will allow for the assessment of measurement properties of mental health scales items in need of adaptations to rapidly changing environments. Methods will be developed for causal inference from data combined from different sources to assess the effects of different policy interventions by local areas, states, and countries.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": "1442", "attributes": { "award_id": "2029890", "title": "RAPID: Impact of the Covid-19 Pandemic on Crime and Corrections Populations", "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": 3741, "first_name": "Reginald", "last_name": "Sheehan", "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": 37428, "principal_investigator": { "id": 3743, "first_name": "Daniel S", "last_name": "Nagin", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 243, "ror": "", "name": "Carnegie-Mellon University", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 3742, "first_name": "Amelia M", "last_name": "Haviland", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 31234, "first_name": "Mikaela Rose", "last_name": "Meyer", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 243, "ror": "", "name": "Carnegie-Mellon University", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true } ] } ], "awardee_organization": { "id": 243, "ror": "", "name": "Carnegie-Mellon University", "address": "", "city": "", "state": "PA", "zip": "", "country": "United States", "approved": true }, "abstract": "Anecdotal news accounts make clear that the COVID-19 pandemic is having profound impacts on crime and on jail and prison populations in the United States. The short-term reductions in most crimes are consistent with various opportunity-based theories of crime with fewer people on the streets and visiting places like bars. The reports of increased domestic violence align with opportunity-based theories and in addition strain-based theories. Over the longer term, however, the reported crime reduction trends may reverse themselves as people become more economically impacted. Impacts of restricted admissions and accelerated releases from local jails and prisons on crime and on infection rates, within these facilities during this pandemic, are also unknown and of policy interest. Analyses will be conducted at the level of county and city for crime and jail population impacts and at the level of the state for prison population impacts. To estimate these effects we aim to do difference-in-difference type analyses. The main objectives of this project are to provide a rapid analysis of these impacts on crime and corrections populations to be completed prior to a possible future resurgence of the pandemic, and to share with policymakers rigorous analyses that will assist in informing their decisions in dealing with the crisis.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": "1452", "attributes": { "award_id": "2029258", "title": "RAPID: Examining Media Dependencies, Risk Perceptions, and Depressive Symptomatology during the 2020 COVID Pandemic", "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": 3770, "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": "2020-06-15", "end_date": "2021-05-31", "award_amount": 66453, "principal_investigator": { "id": 3771, "first_name": "Kenneth", "last_name": "Lachlan", "orcid": "https://orcid.org/0000-0002-7856-2797", "emails": "[email protected]", "private_emails": "", "keywords": "['Risk communication']", "approved": true, "websites": "['https://comm.uconn.edu/person/kenneth-lachlan/']", "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 257, "ror": "https://ror.org/02der9h97", "name": "University of Connecticut", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 257, "ror": "https://ror.org/02der9h97", "name": "University of Connecticut", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true }, "abstract": "The COVID-19 pandemic presents a unique opportunity to examine risk perceptions and responses on both a national and regional scale. When faced with a major health crisis, individuals are likely to be motivated to seek information in order to alleviate anxiety and gather information about how to protect themselves. While these dependencies are well documented, less is known about the extent to which media dependency translates into desired behavior, and the extent to which other effects associated with these dependencies may help or hinder this translation. Particularly troubling is prior research supporting the notion that depressive symptomology may lead to inaction, and that reliance on different news sources may lead to variability in the perception of risk. The current study extends previous research by investigating the extent to which risk perception and motivation to take protective action are tied to specific source preferences, and the degree to which individual processing characteristics and related responses influence these relationships. The research also aims to investigate the argument that depressive symptomatology may lead to inaction under such circumstances. Further, the research team explores specific protective actions and perceptions of risk while the threat is imminent, as opposed to relying on recall. The findings contribute to our knowledge base by filling a significant gap in the social science literature on emergency response by evaluating the links between trait processing, source preferences, depressive symptomatology, and protective actions. The new knowledge is beneficial to emergency managers for message design and placement.An online survey gathers data from a nationally representative sample of 5,000 respondents to assess the key variables of interest. Participants are asked about the relative importance of varying news outlets, sources of first alerts, time spent seeking information, risk perception (including magnitude and probability), specific protective behaviors advocated by the Center for Disease Control, and depressive symptomatology. Questions also measure emotional well-being, level of involvement in the information gathered, trait need for cognition, and ruminative coping tendencies. Prior findings concerning the role of rumination in information seeking are reexamined for replication and extended to investigate the subsequent role of this processing style in both depressive symptomatology and protective actions, such as social distancing. Source preferences are reduced into clusters using Exploratory Factor Analysis and examined in terms of the impact of specific source preference clusters on risk perception and protective action.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": 1405, "pages": 1419, "count": 14184 } } }