Reading Data Sets
Digital collection of annotated data sets.
Digital collection of annotated data sets.
Research update by the COVID-19 Data Working Group.
This is a program targeted to students with bachelors, masters, or professional degrees who desire to protect people from the various consequences of nuclear disasters.
In this article, It talks mainly about New Jerseys CSO communities and how the CSO's are and have been making steps towards reducing overflow and even though the current solutions being used right now is a way to help reduce the overflow, these systems are also major sources of water pollution. however, CSO's plan to help reduce overflow and help prevent extensive damage from hurricanes will, be beneficial to the public even though it may take a few years for it to be completed and be of use to the public.
The information used to produce and support the arguments made in the article comes from a number of articles and reports, as well as interviews. For example, the author communicated with the former scientific director of Spetsatom and used that information to form a better image of the situation post-Chernobyl. This information could then be contrasted to other disasters and the organizations formed in the aftermath. The author could then use research papers as a source for statistical data, as well as scientific reports as a basis for the disaster’s existence and its implications. These all together are used to form an interdisciplinary view of disaster relief, and the steps needed to prevent and respond to another nuclear disaster.
The largest challenge faced by the ARC seems to be organizing such a large group of volunteers for specific response. There are so many different pieces to disaster respones, and with mostly volunteers organizing things, a strong central leadership is needed, which seems to be lacking in the group as a whole.
This is a list of analytics by the COVID-19 Data Group.