Citizen science and stakeholders involvement
Metztli hernandezAnnotation of
In response to
CITIZEN SCIENCE
Epistemic negotiation
Stakeholders (indigenous groups, activist, scientist, scholars, etc)
Ina Kim
InaAnnotation of
I am a Ph.D. candidate in anthropology at the University of California, Irvine. I am working on my doctoral dissertation that explores post-disaster ecological imaginary shaped and performed through data practices in post-Fukushima Japan. My project examines how data practices of citizen radiation detection activities construct and reconfigure the understanding and experience of citizen scientists regarding post-Fukushima “Japan” as part of the ecosystem. For further projects, I am also interested in the sociocultural role of small data in the era of big data and how small data that represent and intervene in environmental issues are intersected and interacted with big data in various domains.
I am currently participating in the Transnational Disaster STS COVID-19 project and the COVID-19 and Data group as a subgroup of the project above. As a member of these groups, I am unraveling COVID-19 data practices and the relationships among multiple data actors such as the government, research institutions, media, and citizen scientists in Japan. I am also interested in how differently citizen data platforms have been gaining scientific and political authorities in Japan, the U.S., and South Korea during the pandemic.
I am particularly interested in these questions:
What do different disciplines and communities involved in COVID-19 response mean by “good data”?
How do local, national, and global data intersect, interact, and compete with each other?
What is shown and what is revealed or disregarded in COVID-19 data produced about different settings (a particular city, region, or country, for example)?
How are COVID-19 GIS data integrated with other data forms? What is the role of the GIS data in different COVID-19 settings?
What is the role of civic data as COVID-19 information in comparison to governmental or institutional data?
What do people expect from data within the COVID-19 pandemic?
How is the data circulated for COVID-19 different from data produced in another pandemic period?
I can be contacted at inahk[at]uci.edu.
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The main argument of the article is about how child poverty is induced by several factors. She discusses the risks of child poverty to child development, some of these factors are parental stress, mental and physical illness, child hunger, and low expectations. Lamy addresses how families can overcome poverty struggle.
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In comparison to other counties, Essex county has the largest number of children above the CDC blood lead level, 5% of Essex county children are affected. They surpassed Passaic County's 3.4%. This risk is more prominent in Essex county than any other group in the state.
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sydne.nanceAnnotation of
This study addresses vulnerable populations because it explains that high blood levels, which is a sign of poverty, can have an impact on performance in testing. Even though information was not given pertaining to poverty in each subject, these conclusions can be drawn from other studies.
pece_annotation_1524605304
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The article finds that because Newark's population is 75% black and Hispanic, the hiring problem has a disproportionate impact on minorities. Blacks and Hispanics are most at risk of this issue.
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The author is Cynthia E. Lamy, she is a developmental and National Institute for Early Education Research educational psychologist and research fellow at Rutgers University.
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This study was conducted by using testing data from 4th-grade students from North Carolina, and comparing if they matched high blood lead levels. This method was conducted in seven counties through normal statistical methods.
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sydne.nanceAnnotation of
In response to
Some vulnerabilities blacks in Newark face are health issues like blood lead poisoning because they cannot afford to solve the issue.
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In order to allow jobs for Newark locals, a report from the New Jersey Institute for Social Justice called "Bridging the Two Americas: Employment and Economic Opportunity in Newark and Beyond" addresses the solutions for this problem. They call for more monitoring and enforcement of local hiring requirements under the first source ordinance.