This project explores how children and youth below the age of 18 sought to help others during the COVID-19 pandemic. We used the data included in this publication to answer research questions such as “How did children in the U.S. help others and themselves during the COVID-19 pandemic?” and “What issues were children in the U.S. concerned about during the COVID-19 pandemic?” This project includes a data dictionary and a dataset that summarizes a unique collection of 115 news articles focused on the helping behaviors and key concerns of children in the U.S. during the pandemic. The articles appeared in print or online news sources between 2020 and 2023. We searched for media coverage using terms such as “kids,” “help,” “volunteer,” “actions,” “pandemic,” and “COVID-19.” Over time we refined and added additional search terms based on emergent themes such as “raising money,” “making personal protective equipment,” and “helping with homework.” We limited our searches by language (English), geography (the United States), and time (an article had to be published between January 2020, when the virus was first detected in the U.S., and November 2023, when we ended our searches for the dataset). When we identified news coverage that fit our definition of helping behaviors, we saved a PDF of the article (all PDFs are available upon request from the PI). Information included in this dataset is summarized as follows: (1) article citation and link; (2) article synopsis; (3) information on the child or children featured in the article; (4) summary of key helping behaviors or other actions taken by children during the pandemic; (5) information on who children were trying to help or what type of change they were attempting to influence; (6) quotes from children or youth; and (7) notations of photos, videos, or links to additional resources. The envisioned audience for this data includes social science and public health researchers, journalists, and policy makers with an interest in children and the pandemic, specifically, or disasters and altruism, more broadly.
more »
« less
The 2020 Coronavirus Pandemic and Its Corresponding Data Boon: Issues With Pandemic-Related Data From Criminal Justice Organizations
Public organizations, including institutions in the U.S. criminal justice (CJ) system, have been rapidly releasing information pertaining to COVID-19. Even CJ institutions typically reticent to share information, like private prisons, have released vital COVID-19 information. The boon of available pandemic-related data, however, is not without problems. Unclear conceptualizations, stakeholders’ influence on data collection and release, and a lack of experience creating public dashboards on health data are just a few of the issues plaguing CJ institutions surrounding releasing COVID-19 data. In this article, we detail issues that institutions in each arm of the CJ system face when releasing pandemic-related data. We conclude with a set of recommendations for researchers seeking to use the abundance of publicly available data on the effects of the pandemic.
more »
« less
- Award ID(s):
- 2032747
- PAR ID:
- 10339107
- Date Published:
- Journal Name:
- Journal of Contemporary Criminal Justice
- Volume:
- 37
- Issue:
- 4
- ISSN:
- 1043-9862
- Page Range / eLocation ID:
- 543 to 568
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
null (Ed.)The COVID-19 viral disease surfaced at the end of 2019 and quickly spread across the globe. To rapidly respond to this pandemic and offer data support for various communities (e.g., decision-makers in health departments and governments, researchers in academia, public citizens), the National Science Foundation (NSF) spatiotemporal innovation center constructed a spatiotemporal platform with various task forces including international researchers and implementation strategies. Compared to similar platforms that only offer viral and health data, this platform views virus-related environmental data collection (EDC) an important component for the geospatial analysis of the pandemic. The EDC contains environmental factors either proven or with potential to influence the spread of COVID-19 and virulence or influence the impact of the pandemic on human health (e.g., temperature, humidity, precipitation, air quality index and pollutants, nighttime light (NTL)). In this platform/framework, environmental data are processed and organized across multiple spatiotemporal scales for a variety of applications (e.g., global mapping of daily temperature, humidity, precipitation, correlation of the pandemic to the mean values of climate and weather factors by city). This paper introduces the raw input data, construction and metadata of reprocessed data, and data storage, as well as the sharing and quality control methodologies of the COVID-19 related environmental data collection.more » « less
-
Within the ongoing disruption of the COVID-19 pandemic, technologically mediated health surveillance programs have vastly intensified and expanded to new spaces. Popular understandings of medical and health data protections came into question as a variety of institutions introduced new tools for symptom tracking, contact tracing, and the management of related data. These systems have raised complex questions about who should have access to health information, under what circumstances, and how people and institutions negotiate relationships between privacy, public safety, and care during times of crisis. In this paper, we take up the case of a large public university working to keep campus productive during COVID-19 through practices of placemaking, symptom screeners, and vaccine mandate compliance databases. Drawing on a multi-methods study including thirty-eight interviews, organizational documents, and discursive analysis, we show where and for whom administrative care infrastructures either misrecognized or torqued (Bowker and Star 1999) the care relationships that made life possible for people in the university community. We argue that an analysis of care—including the social relations that enable it and those that attempt to hegemonically define it—opens important questions for how people relate to data they produce about their bodies as well as to the institutions that manage them. Furthermore, we argue that privacy frameworks that rely on individual rights, essential categories of “sensitive information,” or the normative legitimacy of institutional practices are not equipped to reveal how people negotiate privacy and care in times of crisis.more » « less
-
null (Ed.)Situational awareness provides the decision making capability to identify, process, and comprehend big data. In our approach, situational awareness is achieved by integrating and analyzing multiple aspects of data using stacked bar graphs and geographic representations of the data. We provide a data visualization tool to represent COVID pandemic data on top of the geographical information. The combination of geospatial and temporal data provides the information needed to conduct situational analysis for the COVID-19 pandemic. By providing interactivity, geographical maps can be viewed from different perspectives and offer insight into the dynamical aspects of the COVID-19 pandemic for the fifty states in the USA. We have overlaid dynamic information on top of a geographical representation in an intuitive way for decision making. We describe how modeling and simulation of data increase situational awareness, especially when coupled with immersive virtual reality interaction. This paper presents an immersive virtual reality (VR) environment and mobile environment for data visualization using Oculus Rift head-mounted display and smartphones. This work combines neural network predictions with human-centric situational awareness and data analytics to provide accurate, timely, and scientific strategies in combatting and mitigating the spread of the coronavirus pandemic. Testing and evaluation of the data visualization tool have been done with real-time feed of COVID pandemic data set for immersive environment, non-immersive environment, and mobile environment.more » « less
-
Abstract What were the impacts of the Covid‐19 pandemic on trust in public health information, and what can be done to rebuild trust in public health authorities? This essay synthesizes insights from science and technology studies, information studies, and bioethics to explore sociotechnical factors that may have contributed to the breakdown of trust in public health information during the Covid‐19 pandemic. The field of science and technology studies lays out the dynamic nature of facts, helping to explain rapid shifts in public health messaging during Covid‐19 and reasons they produced a lack of trust in public health authorities. The information field looks at how facts are sociotechnically constructed through systems of classification, illustrating how extrascientific factors influence public health authorities. Putting these perspectives alongside bioethics principles raises additional factors to consider. The goal of this essay is to learn from past failures to point toward a brighter future where trust in public health authorities can be rebuilt, not on faith, but rather through striving for calibrated trust within which, through a virtuous circle, trust is validated.more » « less
An official website of the United States government

