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Ina Kim

Ina

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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a_chen

The main method has used in this study by review the health profiles of the incarcerated group. Via this method, the basic background information can be gather and analyze with categorized people into different groups such age, races, gender etc. Furthermore, with group analyze some conclusion can be made to execute a possible solution to decrease the incarcerated people in order to improve health conditions. The health records are also useful to make prediction trend of the future environment, even though the conclusion from the prediction is the situation would not change as much as general publics and authorities expected.

By reviewing health profiles of the incarcerated group to study this issue, personally would say it is quite a quick and reliable way but not quite sure on the innovation level of this kind of methodology. Another issue with method is the possibility on the violation of personal information and ethical controversy. 

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a_chen
Annotation of

“Ushahidi provides open source crowdsourcing software for responding to crisis, helping human rights, and increasing transparency.”

For the event of post-election violence in Kenya 2008, map reports are created to flow the voices.

With the mobile apps (iOS/Android) of the system, data collection can gather other’s voice from multiple sources such as SMS, emails, Twitter and RSS. These data can also be managed and formed into visual charts and maps. Other functions such as alerts and customer services are also provided.

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a_chen

Under OSHA Law, the employers must ensure their workers are in a safe workplace that does not contain any serious hazards according to the OSHA safety and health standards.

With the employers’ rights and responsibilities, OSHA has provided a list of methods to maximize the safe conditions within the workplace. For example, they have provided free Law Poster relevant to OSH Act for download and posting.

“Notify OSHA within 8 hours of a workplace fatality or within 24 hours of any work-related inpatient hospitalization, amputation or loss of an eye (1-800-321-OSHA [6742]).”