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Abstract Based on longitudinal research conducted with 21 Mexican immigrants between 2018 and 2021, this article examines the challenges the COVID‐19 pandemic posed to undocumented immigrants in the United States attempting to provide care for aging parents in Mexico. As the United States excluded undocumented immigrants from pandemic support, the pandemic undermined their ability to provide health care for their parents even as the Mexican public health care system crumbled. Meanwhile, as the pandemic hastened their parents’ demise, it thwarted immigrants’ ability to time returns to see their parents before they died. While scholars have amply documented how spatial disparities exacerbated the impact of the pandemic among marginalized groups, few have examined the temporal disruptions caused by the pandemic. This article suggests that the pandemic provoked particular distress by desynchronizing the temporalities of family life across borders and preventing immigrants’ abilities to coordinate care for their parents in time. [COVID‐19, transnational families, eldercare, death, time]
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Exploring Blockchain for Trustful Collaborations between Immigrants and Governments
Immigrants usually are pro-social towards their hometowns and try to improve them. However, the lack of trust in their government can drive immigrants to work individually. As a result, their pro-social activities are usually limited in impact and scope. This paper studies the interface factors that ease collaborations between immigrants and their home governments. We specifically focus on Mexican immigrants in the US who want to improve their rural communities. We identify that for Mexican immigrants having clear workflows of how their money flows and a sense of control over this workflow is important for collaborating with their government. Based on these findings, we create a blockchain based system for building trust between governments and immigrants.We finish by discussing design implications of our work and future directions.
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- Award ID(s):
- 1650474
- PAR ID:
- 10091257
- Date Published:
- Journal Name:
- CHI Conference on Human Factors in Computing Systems
- Page Range / eLocation ID:
- 1 to 6
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3170427.3188660
