Critical Data Practices in a MultiPandemic

Principal Investigator(s): View help for Principal Investigator(s) Angela Calabrese Barton, University of Michigan; Leslie Herrenkohl, University of Michigan

Version: View help for Version V1

American Educational Research Association Data Repository

Name	File Type	Size	Last Modified
Data Access Files.pdf	application/pdf	432.3 KB	07/30/2021 05:20:AM
Program and Data Files.pdf	application/pdf	147.4 KB	07/30/2021 05:19:AM
Read Me.pdf	application/pdf	86.5 KB	07/30/2021 05:19:AM

Project Citation:

Calabrese Barton, Angela, and Herrenkohl, Leslie. Critical Data Practices in a MultiPandemic. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-07-30. https://doi.org/10.3886/E146302V1

Project Description

Summary: This study investigates how youth from two cities in the US engage in critical data practices as they learn about and take action on COVID-19. Since March 2020, we have co-documented, with youth in the Midwest and the West Coast of the US, how people learn and make decisions in relation to COVID-19 in real time, and how this is shaped by justice-related concerns. Guided by theories of critical data literacies and data justice, a historicized and future-oriented participatory methodological approach is used to center the lived lives and communities of participants through dialogic interviews and experience sampling. Data were co-analyzed with participants using critical grounded theory. Findings illustrate how youth not only aimed to reveal the dynamic and human aspects of and relationships with data as they engage with/in the world as people who matter, but also offered alternative infrastructures for counter data production and aggregation towards justice in the here-and-now and possible futures. Implications for studies of learning with/through data practices in everyday life in relation to issues of justice are discussed.

Funding Sources: National Science Foundation (2028370)

Scope of Project

Subject Terms: Justice; COVID-19; learning; data practices; participatory research ; Justice; Justice; COVID-19; Justice; COVID-19; learning; data practices; Justice; COVID-19; learning

Geographic Coverage: United States

Time Period(s): 3/15/2020 – 12/30/2020

Collection Date(s): 3/15/2020 – 12/30/2020

Universe: West Coast City (13 youth, ages 12-24): 6 BIPoC; 3 White; 2 Asian; 2 Middle Eastern

Great Lakes City (19 youth, ages 12-24): 13 Black/Biracial; 2 Indigenous/Native American; 4 White

Data Type(s): audio: sound data; images: photographs, drawings, graphical representations; observational data; other; survey data; text; video: film, animation, etc.

Collection Notes: Using a historicized and future-oriented participatory methodological approach, we seek to give witness to and learn with youth and community (Villenas, 2019). This requires centering participant voices as opposed to researcher voice, placing importance on methods such as open-ended interviews with co-determined protocols and co-analyzed findings.

Methodology

Sampling: The larger study involves 60 participants across two metropolitan areas representing different geographic regions of the US, including 19 youth (29 BIPoC; 4 White) in Great Lakes City and 13 youth (6 BIPoC; 3 White; 2 Asian and 2 Caucasian/Middle Eastern) in West Coast City. This study examines data generated March - July 2020 with youth ages 12-24 (N=32), during the initial waves of the pandemic in the US. We used snowball sampling methods drawing from multi-year relationships grounded in our longterm community center partnerships in two geographic regions.

Data Source: In the study reported here, we draw upon two rounds of remote long-form interviews, lasting between 90 minutes and 4 hours each, per participant as well as experience sampling methods.

Collection Mode(s): computer-assisted personal interview (CAPI); mixed mode; other; web-based survey

Unit(s) of Observation: Individual, Family, Community

Geographic Unit: USA

Related Publications

Download this project

Published Versions

V1 [2021-07-30]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.