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I hope to be involved in projects that aim to gather scientific evidence to inform environmental decision making and advocate for greater equity and justice in environmental governance. Through this work, I hope to learn the skills needed to engage in community based research and leverage community knowledge as expert knowledge. In my department, things are often siloed and issues are only seen through one perspective. I really want to gain more experience in collaborating with a wide array of stakeholders to come up with approaches to mitigate the environmental injustices experienced in under-resourced communities.

Doctors Without Borders comes with a unique aspect of non-bias for the people they give care. Just as a hospital should have no bias, MSF has no religious affiliation, pays no attention to social classes and does not participate in political battles. This lack of bias allows for the most effect when administering emergency patient care. 

Researchers used personal anecdotes of two individuals who, were locked up in Rikers in order to provided a personal view of the conditions of the facilities. The other data was collected from multiple agency's and law firms that have gather data to make a case for either the closing or improvement of Rikers.  

This article is supported with the following:

- Anecdotes from survivors whom have experienced the turmoil of living in the remains after Katrina.

- Showing the disproportional treatment of individuals based on wealth. Those wealthy enough are able to relocate, but those who live in poverty are less likely able to relocate and forced to live in subpar conditions.

- Showing price gouging done by private companies in order to gain funds from federal funding.

Adriana Petryna is a professor of anthropology at the University of Pennsylvania researches the cultural and political aspects of nuclear science and medicine.

The article uses data from sources such as the Aid Worker Security Database, interviews and focus groups. The Aid Worker Security Database, as aforementioned, produces very little data in comparison to how large the problem is suspected to be.