Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1404&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=1405&sort=program_reference_codes", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1403&sort=program_reference_codes" }, "data": [ { "type": "Grant", "id": "1950", "attributes": { "award_id": "2028242", "title": "RAPID: Distancing & Digital Information in the Face of 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": 5183, "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": "2020-05-15", "end_date": "2022-04-30", "award_amount": 98285, "principal_investigator": { "id": 5185, "first_name": "Shalini", "last_name": "Misra", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": "['Social ecology']", "approved": true, "websites": "['https://spia.vt.edu/people/faculty/misra.html']", "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 244, "ror": "", "name": "Virginia Polytechnic Institute and State University", "address": "", "city": "", "state": "VA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 5184, "first_name": "Kris", "last_name": "Wernstedt", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 244, "ror": "", "name": "Virginia Polytechnic Institute and State University", "address": "", "city": "", "state": "VA", "zip": "", "country": "United States", "approved": true }, "abstract": "The COVID-19 pandemic poses arguably the most formidable set of health and broader societal challenges of the 21st century to people around the world. This project studies the judgements, perceptions, and behaviors that result from different types, quality, and amount of digital information and different social distancing restrictions in a high-stress context of spatial distancing over a prolonged period during the COVID-19 crisis. Such understanding can help us develop better strategies—including shaping the content and timeliness of online and offline communication of public policies—to respond more effectively to future large-scale crises that also may impose restrictions on the day-to-day, face-to-face human interactions that comprise the norm for modern society.As large numbers of people cut off spatial ties and limit their mobility in the COVID-19 pandemic, the demand for digital media has increased, not only to increase understanding of health and economic impacts and to reduce anxiety and uncertainty, but also to compensate for the severance of in person social interactions. This information comes from different sources, changes over time, and varies in quality, credibility, and timeliness. The research team hypothesizes that the nature of the information consumed and intensity of immersion in the digital environment during the COVID-19 pandemic can prompt different construals of the pandemic and thereby shape risk preferences and behaviors. The team investigates these perceptions, preferences, choices, and behavioral responses to spatial distancing public policies through a multiple wave, online panel study of 400 residents of the Washington-Arlington-Alexandria metropolitan area. The research uses construal level theory by empirically distinguishing between the spatial and psycho-social dimensions of the construct of psychological distancing and calibrating the psychological impacts of immersion in online environments during a period of limited in-person interactions. The team investigates how digital media and technology consumption influence construal level and how the interaction of these two factors shape individuals’ risk perceptions, attitudes, and behaviors over time. Our research thus moves beyond simplistic explanations of the direct linkage between psychological distance, construal level, and judgments and decisions to a more nuanced understanding of interactions between construal mindsets and overload, stress, and fear.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": "1959", "attributes": { "award_id": "2029313", "title": "RAPID: Failure to Predict Infection Risk and its Impact on the Spread of 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": 5218, "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": "2020-08-15", "end_date": "2022-07-31", "award_amount": 17996, "principal_investigator": { "id": 5219, "first_name": "Joydeep", "last_name": "Bhattacharya", "orcid": "https://orcid.org/0000-0002-3148-4592", "emails": "[email protected]", "private_emails": "", "keywords": "['Economics']", "approved": true, "websites": "['https://arxiv.org/abs/2005.01273']", "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 192, "ror": "https://ror.org/04rswrd78", "name": "Iowa State University", "address": "", "city": "", "state": "IA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 192, "ror": "https://ror.org/04rswrd78", "name": "Iowa State University", "address": "", "city": "", "state": "IA", "zip": "", "country": "United States", "approved": true }, "abstract": "The speed with which pandemics spread is surprising, yet some in society fail to abide by guidelines such as hygiene and social distancing that are designed to decrease the spread of such epidemics. People may fail to adhere to these guidelines either because they fail to accurately predict the chance that they will be infected, or they accurately perceive the chance of infection but do not take appropriate precaution. These sources of individual variation have important implications for policy effectiveness in reducing the spread of epidemics, such as COVID-19. This research project will use experimental methods to investigate whether failure to follow guidelines is due to failure to accurately predict the chance of an infection and if so, what policy interventions are likely to succeed in improving people’s prediction of the probability of an infection. The major hypothesis is that people make prediction errors because they believe that the virus will grow at a linear rate while the infection grows at exponential rate, thus leading to systematic prediction errors. The results of this research project therefore provide important inputs into designing policies to reduce the spread of COVID-19 in particular and infectious diseases generally. The results of this research project will also help to establish the US as a global leader in the analysis of, and the design of policies to reduce infectious diseases. People tend to underestimate the speed at which exponential processes (such as, those involving compound interest) unfolds. This is especially relevant in the early stages of an infectious disease outbreak when few positive cases can explode into a widespread pandemic if the disease is sufficiently transmittable. This proposal uses an incentivized, survey instrument to study an exponential-growth prediction bias (EGPB) in the context of COVID-19. Prediction bias is defined as the systematic error arising from under or over -prediction of the number of COVID-19 positive detections x-weeks hence when presented with y-weeks of prior, actual data on the same. Those who suffer from EGPB will greatly underestimate how quickly a disease spreads, fail to perceive their own onrushing risk, and hence, show low compliance with safety measures. This research project aims to test these hypotheses and to see if simple, behavioral nudges can help reduce EGPB. The hypotheses get to the heart of the behavioral aspects of virus transmission missed in epidemiological models that underplay rational choice in disease prevention. The research is relevant for public health efforts to “flatten the curve” which critically rely on compliance with self-protection guidelines.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": "1967", "attributes": { "award_id": "2031726", "title": "RAPID: Work, Family, and Social Well-Being among Couples in the Context of 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": 5242, "first_name": "Joseph", "last_name": "Whitmeyer", "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": 191000, "principal_investigator": { "id": 5246, "first_name": "Krista M", "last_name": "Brumley", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 179, "ror": "https://ror.org/01070mq45", "name": "Wayne State University", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 5243, "first_name": "Boris B", "last_name": "Baltes", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 5244, "first_name": "Shirin", "last_name": "Montazer", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 5245, "first_name": "Katheryn C", "last_name": "Maguire", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 179, "ror": "https://ror.org/01070mq45", "name": "Wayne State University", "address": "", "city": "", "state": "MI", "zip": "", "country": "United States", "approved": true }, "abstract": "COVID-19 has disrupted daily work and home lives. More than 297 million people in the U.S. have been placed on full or partial social distancing restrictions. Millions were told to work remotely; others were deemed essential and found themselves on the frontline of this unprecedented pandemic. More than half the schools are closed, leaving more than 33 million children at home. Consequently, millions of dual-income families have been forced to find new ways to balance the competing needs of work and family while maintaining individual and relational well-being. Prior to COVID-19, research consistently showed workers to experience higher work-to-family than family-to-work conflict; however, workers may now experience as high, if not higher, family-to-work conflict given that they have to juggle work and family from the same location: home. Both of these conflicts can have negative effects on individuals and families, including psychological distress, anxiety, anger, guilt, and decreased couple relationship quality. Most studies to date have tested spillover effects of work to family conflict using individual-level data; few have examined the crossover effect with both members included in the analysis, and even fewer longitudinally. This project will survey and interview both adults of dual-income couples at three time points to assess how work, family, and health among dual-income couples have changed within the context of COVID-19. Findings from this project will inform workplaces on the development of policies to support workers and their families during times of crisis and return-to-work transitions, thus facilitating recovery from this pandemic and preparedness for future extreme events. These are key insights needed to train employers/workers on best practices for employment interventions on family-friendly policies, facilitating organizational change and contributing to healthy workplaces, thus facilitating health and well-being and U. S. economic competitiveness.Covid-19 has disrupted work and family arrangements owing to school closures, requirements for telework, and social distancing mandates. This project uses a mixed-methods approach by combining surveys and in-depth interviews with both members of a sample of dual-income couples over one year. The project will collect data at three time points: baseline (while most of country is under lockdown orders), transition (after orders start to phase out), and adaptation (one year after the first case of community transmission was detected). The project will use both a traditional single person data analysis strategy, including growth curve modeling and panel regression, and a dyadic data analytical method, the Actor-Partner Interdependence Model, to analyze survey data (n=300 couples; 600 individuals). For the qualitative data, the project will use a thematic analysis to identify emergent patterns on perceptual/behavioral work-family conflict, workplace resources/support, mental health, and relationships. The project will use the qualitative software package NVIVO to manage interview data. Findings from the project will inform sociological theories regarding work-family conflict and accommodation, as well as theories related to the gendered division of household labor.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": "1971", "attributes": { "award_id": "2030593", "title": "RAPID: Online Social Networks, Relationships, and 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": 5257, "first_name": "Joseph", "last_name": "Whitmeyer", "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": 196830, "principal_investigator": { "id": 5258, "first_name": "Michael J", "last_name": "Rosenfeld", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 266, "ror": "https://ror.org/00f54p054", "name": "Stanford University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 266, "ror": "https://ror.org/00f54p054", "name": "Stanford University", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "The unique situation of a majority of Americans called upon to shelter in place during the COVID-19 pandemic has created society-wide social distancing in the U.S. for the first time since the Spanish influenza pandemic of 1918. How will social distancing affect marriages and other romantic relationships? This project will analyze couple stability or instability under conditions of extraordinary stress. We know that the coronavirus pandemic will have serious and potentially devastating short term impacts on health, mortality, employment, and economic production. It is possible, however, that social life and social relations may prove more resilient during the crisis than people would ordinarily expect. An understanding of the resilience of social relationships under extraordinary stress will provide the public with more confidence that future crises can be overcome. As family and relationship satisfaction is a key contributor to general well-being and low mortality, this study seeks to understand the ability of Americans to survive the pandemic with their relationships intact, thus contributing to health and well-being of the U. S. population.We know very little about the extent to which social relationships can endure during a crisis that entails sustained social distancing. This project will field two nationally representative follow-up surveys to approximately 1600 American adults. The first follow-up survey will take place during the COVID-19 shelter-in-place period. The second follow-up will be fielded once the shelter-in-place orders have been substantially lifted. Both surveys will longitudinally follow subjects and relationships first identified in the How Couples Meet and Stay Together (HCMST) 2017 survey. The resulting dataset will have measures of couple satisfaction, couple stability and breakup, couple co-residence, income, employment, online social network use, and relationship history for the same set of subjects from before, during, and after the COVID-19 lock down. The project will analyze transitions to breakup, transitions to cohabitation, and transitions to marriage using multivariable event history methods. The different state prevalence of COVID-19 cases and the variable state responses to the pandemic will represent an important natural experiment for the social effects of a lock down policy. Findings from the project will inform sociological theories of relationship transition involving marriage, cohabitation, and partnering, as well as relationship satisfaction.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": "1984", "attributes": { "award_id": "2029183", "title": "RAPID: Using Structured Introspection and Expert Perspective Taking to Increase Societal Considerations During the Coronavirus 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": 5298, "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": "2022-08-31", "award_amount": 198997, "principal_investigator": { "id": 5300, "first_name": "Leaf Van", "last_name": "Boven", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 172, "ror": "", "name": "University of Colorado at Boulder", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 5299, "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": 172, "ror": "", "name": "University of Colorado at Boulder", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "abstract": "The Covid-19 pandemic is an unprecedented opportunity to examine behavioral interventions that increase prosocial behavior during a global health and economic crisis. There are many and varied messages in media, risk communication, and policy recommendations communicated from many sources. How does the public perceive and respond to these messages? When deciding whether to adhere to social distancing and shelter-in-place policies, how do people balance their personal health risks, which might be low, against broader public health risks? This RAPID research examines these questions in the context of the coronavirus. The pandemic is a unique opportunity to test the robustness and relevance of social-behavioral science to improve public response to the Covid-19 pandemic. Specifically, this work examines whether encouraging people to reflect on their personal values about prosocial considerations and good citizenship will encourage them to behave less selfishly. This work will also examine whether encouraging people to think like an unbiased policy analyst will increase their support for social distancing policies when evaluating policy proposals. These questions will be examined over six months of national surveys in the United States. The same questions will be examined across four other countries in two international surveys. These different countries have had varied experiences with the Covid-19 pandemic and with policy responses to the pandemic. Helping the broader public to be less selfish and to think more clearly amidst an unfolding international crisis has tremendous societal value. Implementation and communication of this work will directly impact public adherence to necessary social distancing recommendations and improves civic engagement with policy evaluation. The unfolding COVID-19 pandemic is unprecedented and provides an urgent opportunity to test the effectiveness of interventions that increase prosocial behavior during a global crisis. We examine whether structured introspection and adopting the perspective of expert policy analysts increases prosocial considerations during the pandemic. Structured introspection is a procedure that identifies relevant attributes such as prosocial considerations and civic values, asking people to report how much those considerations should influence their judgments, decisions, and behaviors. Structured introspection is expected to increase intentions and practicing of social distancing. Expert perspective taking is a procedure in which people are asked to take the perspective of an unbiased expert policy analyst, hypothesized to increase appreciation of health risks associated with COVID-19. Over 6 months, the researchers deploy longitudinal studies with staggered experimental treatments with large, diverse national samples in the United States and cross-sectional interventions in four other nations. Accompanying these experiments, we track media coverage and policy changes among major media outlets in the relevant countries and public health organizations. We test these hypotheses in a naturalistic environment with highly dynamic social-informational ecosystems, demonstrating the robustness of theory and implications beyond the narrow confines of tightly controlled laboratory settings. This RAPID project provides two key theoretical advances. First, it replicates and extends emerging research on structured introspection and expert perspective taking as procedures to reduce weighting bias in judgment and decision making. Second, the project tests these hypotheses in a naturalistic environment in highly dynamic, cross-national social-informational ecosystem. The project demonstrates the robustness of the underlying theory and implications applied during a global 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": "2029", "attributes": { "award_id": "2031972", "title": "RAPID: Agenda Generality and Behavior in Social Network Interactions about COVID-19", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)" ], "program_reference_codes": [ "096Z", "7914", "9179" ], "program_officials": [ { "id": 5435, "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": "2020-08-01", "end_date": "2021-12-31", "award_amount": 99452, "principal_investigator": { "id": 5437, "first_name": "Dolores", "last_name": "Albarracin", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 5436, "first_name": "Hari", "last_name": "Sundaram", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 281, "ror": "", "name": "University of Illinois at Urbana-Champaign", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "The same types of social networks that transmit the COVID-19 disease may be leveraged to spread healthy norms and positive behaviors. This research gathers important, time-sensitive data to understand the conditions under which digital social networks can influence health behaviors relevant to the COVID-19 pandemic and how to reduce negative social influences in digital environments. At a time when people spend unprecedented amounts of time on digital networks, public health strategies deployed in these networks may shape the health and social outcomes of Americans in the next 12 months. This research advances understanding of these public health strategies.The project’s theory is that discussing either general or specific issues (e.g., curbing COVID-19 disease or wearing a mask) can have important consequences on the spread of risky attitudes and behaviors through a network. The research entails (a) an ecological study of Twitter and Instagram networks and (b) experiments manipulating the mix of healthy and risky behaviors promoted in the network and the focus of the discussion on either general or specific issues. The project generates public health recommendations and algorithms to improve health discussions on social media. The investigators use a dynamic panel data model to predict individual behavior from the individual’s own attitudes and own past behaviors as well as the behaviors of other members of their network. The research team uses graph convolutional networks both to capture richer network aspects and to model sparse networks.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": "2030", "attributes": { "award_id": "2028374", "title": "RAPID: Visualizing Epidemical Uncertainty for Personal Risk Assessment", "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": 5438, "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": "2020-08-01", "end_date": "2022-07-31", "award_amount": 191696, "principal_investigator": { "id": 5441, "first_name": "Enrico", "last_name": "Bertini", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 167, "ror": "https://ror.org/0190ak572", "name": "New York University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 5439, "first_name": "Rumi", "last_name": "Chunara", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 167, "ror": "https://ror.org/0190ak572", "name": "New York University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, { "id": 5440, "first_name": "Lace M", "last_name": "Padilla", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 167, "ror": "https://ror.org/0190ak572", "name": "New York University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "COVID-19 is one of the most deadly and fastest transmitting viruses in modern history. In response to this pandemic, news agencies, government organizations, citizen scientists, and many others have released hundreds of visualizations of pandemic forecast data. While providing people with accurate information is essential, it is unclear how the average person understands the widely distributed depictions of pandemic data. Prior research on uncertainty communication shows that even common visualizations can be confusing. One possible source of inappropriate responses to COVID-19 is the lack of knowledge about personal risk and the nature of pandemic uncertainty. The goal of this research is to test how people understand currently available COVID-19 data visualizations and create communication guidelines based on these findings. Further, the researchers develop an application to help people understand the factors that contribute to their risk. Users are able to interact with the application to learn about the impact of their actions on their risk. This research provides immediate solutions for teaching people about their personal risk associated with COVID-19 and how their actions influence the risks of others, which could improve the public's response and decrease fatalities. Additionally, this work supports decision making for future pandemics and any subsequent outbreaks of COVID-19 or other viruses.Specifically, the research team empirically examines how people in high and low impact regions reason with pandemic uncertainty by testing the effects of currently available visualizations on personal risk judgments and behavior. By studying how changes in factors influence risk perceptions, the research can contribute to understanding how people conceptualize compound uncertainties from different sources (e.g., uncertainties associated with location, time, demographics and risk behaviors). The researcher then use this information to produce a visualization application that allows people to change the parameters of a simulation to see how the resulting changes affect their risk judgments. For example, users in one city are able to see the pandemic risk to individuals of their age in their zip code and then see how that risk would change if the infection rate increased or decreased. The aim is to promote intuitive understanding of the epidemiological uncertainty in the forecast through participants’ experimentation with the application. While in line with current recommendations for intrinsic uncertainty visualization, this work is the first of its kind to test the effect of user interaction to convey uncertainty through visualization.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": "2032", "attributes": { "award_id": "2037350", "title": "RAPID: Small Businesses and Access to Legal Resources During 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": 5445, "first_name": "Naomi", "last_name": "Hall-Byers", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-07-15", "end_date": "2022-06-30", "award_amount": 158235, "principal_investigator": { "id": 5449, "first_name": "Jeremy R", "last_name": "McClane", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 281, "ror": "", "name": "University of Illinois at Urbana-Champaign", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 5446, "first_name": "Robert", "last_name": "Lawless", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 5447, "first_name": "Verity", "last_name": "Winship", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 5448, "first_name": "Melissa E", "last_name": "Graebner", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 281, "ror": "", "name": "University of Illinois at Urbana-Champaign", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "The COVID-19 pandemic has severely affected businesses of all sizes, particularly small business entrepreneurs. In addition to economic harms, small businesses often lack access to legal resources that would help them navigate issues raised by the pandemic and assist in economic recovery. This project will examine small business’ access to legal advice by generating knowledge about legal challenges they face. As well, this research will assess the effectiveness of different methods of disseminating legal information to small businesses during the COVID-19 pandemic. This project will incorporate a mixed-methods approach to study small business’ ability to access legal resources during times of economic turmoil. First, the project will employ interview and survey techniques to generate data from small business owners across different demographic groups and industries regarding legal issues they face. Second, using an experimental design the project will examine randomized interventions designed to provide legal information through low-cost means that enable self-help to small business entrepreneurs who lack representation. Findings will provide insight into the ability of small business entrepreneurs to utilize and understand the law during the COVID-19 pandemic.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": "2041", "attributes": { "award_id": "2030569", "title": "RAPID: ECONOMIC AND SOCIAL CONSEQUENCES OF THE COVID-19 PANDEMIC FOR LOW INCOME, LATE MIDDLE-AGED AFRICAN AMERICANS", "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": 5478, "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": "2020-06-01", "end_date": "2022-05-31", "award_amount": 200000, "principal_investigator": { "id": 5480, "first_name": "Leslie G", "last_name": "Simons", "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": 5479, "first_name": "Chalandra M", "last_name": "Bryant", "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": "The COVID-19 pandemic has fostered a number of dramatic social changes, including sheltering in place and job loss for millions of Americans. The African American community has been disproportionately impacted. As African American families struggle with self-quarantine, a faltering economy, and high rates of infection, there is a need for detailed information regarding how they are coping, and a need to identify resources they are successfully or unsuccessfully accessing. This project will build on an on-going longitudinal survey of African Americans living in the South and Midwest to evaluate the effects of the pandemic on family functioning and well-being. Findings will inform policies of governmental and private agencies tasked with providing support to citizens during extreme events. These findings will aid in recovery from the current crisis and provide information as to how to better prepare for another pandemic or similar emergency, thus promoting safety, security and well-being in our society. The COVID-19 pandemic has had a disproportionately negative impact on the African-American community. This project will investigate the impact of financial hardship and self-quarantine using a longitudinal data set comprised of close to 500 middle-age African Americans living in the South and Midwest (250 married, 74 live alone, 174 live in multigenerational households). This data set currently consists of eight waves of data collected over 25 years, with the most recent wave completed in 2019. It includes data regarding work, economic hardship, family relationships, social support, religious activities, and psychological well-being over several waves, thus forming a baseline in assessing the impact of the COVID-19 pandemic. These baseline data provide a unique opportunity to assess the degree of change in various domains of life following self-quarantine and unemployment, including emotional well-being (anxiety, depression, anger, loneliness) and, in turn, quality of family interaction and involvement in risky behaviors such as smoking, heavy alcohol consumption, and an unhealthy diet. The project will also analyze whether the pandemic’s impact on economic hardship, family relationships, and emotional well-being vary by social class and by household composition. Findings from the project will inform sociological theories of family functioning, including the family stress model.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": "2042", "attributes": { "award_id": "2029990", "title": "RAPID: Impacts of COVID-19 Pandemic on Rural Attitudes about Federal Aid and Recovery", "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": 5481, "first_name": "Joseph", "last_name": "Whitmeyer", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-06-01", "end_date": "2021-05-31", "award_amount": 178698, "principal_investigator": { "id": 5482, "first_name": "Justin", "last_name": "Farrell", "orcid": "https://orcid.org/0000-0002-5636-7149", "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": "['https://justinfarrell.org']", "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 452, "ror": "https://ror.org/03v76x132", "name": "Yale University", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 452, "ror": "https://ror.org/03v76x132", "name": "Yale University", "address": "", "city": "", "state": "CT", "zip": "", "country": "United States", "approved": true }, "abstract": "The scale of the COVID-19 pandemic necessitated historic action by the federal government to stem social and economic fallout, as demonstrated by federal relief programs exceeding $2.2 trillion. These and other federal interventions in the U.S. economy and society represent a potential shift in the role of government. Yet public opposition to federal programs is historically strong in many rural areas of the country. Given the magnitude of the pandemic, how will this crisis affect long standing attitudes towards federal aid programs and the role of government in society in rural areas? Furthermore, how will public attitudes towards federal aid in rural communities shape how much aid is allocated, what form it takes, and how it is received by rural communities? This project examines the impact of the COVID-19 pandemic on public attitudes towards federal aid and the role of government in rural U.S. communities. Findings from the project will be useful to leaders at several levels of government as they work with their communities to distribute aid to facilitate recovery. As such, the findings will also be useful to leaders within the context of future pandemics or other extreme events, thus promoting U.S. safety and security. The COVID-19 pandemic has necessitated historic investment in federal relief programs, and yet such programs have often been viewed negatively in rural areas of the country. This project will address this development through a new two-wave representative survey of residents in rural communities across eleven states in the western United States (Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, Wyoming). Each wave will consist of 1,200 respondents and will be conducted through a mix of telephone and online outreach by a professional survey firm. The first wave will be conducted immediately, in the midst of the pandemic, and the second wave in spring 2021. The survey will be supplemented with 33 semi-structured interviews (three per state) with government staff, elected officials, and NGO leaders, all based in counties sampled through the survey. These interviews will augment information from rural communities and will provide a macro-level picture of how communities have been impacted by the pandemic. Findings from the project will inform sociological theories related to changes in social ideology in the context of extreme events, as well as theories explaining political and moral identities. In addition, the project integrates findings and concepts related to heretofore largely distinct literatures, one involving rural sociology and the other involving disaster research.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": 1404, "pages": 1419, "count": 14184 } } }