Reading Data Sets
Digital collection of annotated data sets.
COVID-19 Data Group Analytics
This is a list of analytics by the COVID-19 Data Group.
COVID 19 & Data Working Group Update: November 6, 2020
Research update by the COVID-19 Data Working Group.
Visualizing Toxicity within the UC Workforce: A Fight against Race, Gender, and Income Inequalities
The project investigates how UC schools are currently producing race, gender, and income inequality within the workforce.
pece_annotation_1473566035
Sara_NesheiwatThis article focuses on the fact that there not only biological aspects of disease and the spread of it, but also social factors that need more attention. The article cites that epidemic disease is linked with social conditions such as structural violence, education, income and more. The article addresses the fact that social conditions have an effect on disease prevention and many diseases quickly become diseases of the poor due to this. There are social conditions that effect patient's abilities to defend themselves against disease based off money, social condition, infrastructure, access to food etc. The concept of structural violence and its effects on disease spread within the poor community is discussed and analyzed. Overall, the main point to be driven home is the fact that disease spread can be decreased with the reconfiguration and addressing of social issues.
pece_annotation_1480139162
Sara_NesheiwatMiriam Ticktin is a professor of anthropology and co-director of Zolberg Institute for Migration and Mobility. She has a PhD in social sciences from Stanford and has many recent publications, all focused around immigration and humanitarianism, mainly overseas, as well as social research in these areas.
http://www.newschool.edu/nssr/faculty/?id=4d54-6379-4e44-4d35
This is a COVID-19 data set/dashboard collected by researchers at Seoul National University.