Analyze

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.

The sources of resilience come when the economy improves.  This graph shows that the poverty rate had increased from 2008-2009 because of the recession the country went through.

Some vulnerabilities affecting Essex county include households an influx of headed by one parent, births by unmarried women, and weak family economic security.

Lamy uses quotes, specific policies and programs, and statistics involving child development.  She discusses how SNAP, WIC, Housing First, EITC, and other programs and policies can be supported in housing, food, health, and jobs.

Newark school's reported that their almost half of buildings have lead in their water.  This is creating immense vulnerability in Essex County, and the issue in Newark dates back to about four years ago.  This problem also stems from the history of lead-based paint, which was outlawed in 1978, but still can be found in many homes, and poisons children.

Professionals can use this data to place an emphasis on the need to solve blood lead issues in children.  This study concluded that a higher proportion of black students had higher blood lead levels; professionals can use this information to decrease the experience gap by working on solving blood lead issues.

Many precautions that were taken to reduce blood lead poisoning in New Jersey over the years. In 1978, lead paint was banned in America, and in 1996 New Jersey required children to be screened for blood lead levels.  However, Chris Christie vetoed legislation to remove lead paint from old housing in 2016. 

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.

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.