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I am interested in the Macro scale and the macro effects evident at a city-scale level. I remember visiting New Orleans in 2016 and vividly remember seeing several signs with a large 'No' symbol drawn and the text  "neighbors not tourists" printed on the sign. Recently, as part of my research into New Orleans, I stumbled on this piece by the Guardian on how short-term rentals through platforms such as Airbnb are leading to gentrification in New Orleans. Highlighted in the article is how several Airbnb hosts do not reside on the listed premises. I remember the place we stayed, as we were a large party, having a 617 prefix number.  The prefix stood out as I knew the code 617 represented Boston and was curious what someone with ties to Boston doing in New Orleans as a host. In a similar vein, the article also highlights the problem of absentee hosts, hosts who acquire property for the sole purpose of setting up the property as an Airbnb site.

To tackle the problem, one councilwoman passed a law that required any Airbnb hosts in residential zones to have a homestead exemption verifying they live on site. In this case, a city-wide measure was taken and passed into law affecting the micro. It is common to have one host having several properties in different residential areas in New Orleans. From a technical standpoint, it could be viewed that Airbnb as technology is developed and presented as a scalable product. With no limits to reproducibility. Meanwhile, real-life discontinuities exist in the form of such homestead laws. It is impossible to live in more than one homestead at the same time. In other words, the concept of the human is not scalable.
Likewise, neither is cultural heritage. The city of New Orleans positions its self as a city with great cultural heritage. It is through this heritage that they seek to draw more and more tourists. How do cities think of scaling up successful initiatives and how do they navigate the political, social, ecological, or economic entanglements. At what point is downscaling necessary? Is culture scalable?

[1]https://www.theguardian.com/us-news/2019/mar/13/new-orleans-airbnb-trem…

I am currently a Ph.D. student interested in exploring the entanglements of scale, especially in the context of environmental sensing.  My primary research seeks to engage in discourse around the value of scalability that is presented as inherent in computation. While the term scale-up is almost synonymous with computation, sustainability; on the other hand, is known as a problem of scale. Take for example, the discourse on climate change where the actions required to combat climate change requires interventions at different scales. In this context, demanding changes at individual scales while no corresponding changes happen at larger scales would not yield much.

In looking at New Orleans, I came across a video on IoT cameras developed by Cisco, the networking giant. What struck me other than the apparent rise of surveillance capitalism was the narrative of one of the police officers highlighted in the video. The officer mentions that it is not feasible for the city to place police officers on every corner. In the context of scale, the police officer is implying that cameras are useful as they extend the police officer's ability to surveil the city. In other words, cameras and the networks help scale up the police officer, making it possible for them to cover a larger scale than before.

One of the police officers, in the video, also mentions that New Orleans is a tourist and hospitable town. Which brings up the question at any given period, what scale of visitors can New Orleans support without stretching the city's resources? Several other cities in the world have made efforts to limit visitors, in order not stretch city resources. The recent crisis at Mount Everest is an excellent example of what happens when resources are stretched to accommodate the increasing number of local visitors. How could something of this nature similarly impact New Orleans?

At the communication center where the video feed is analyzed, the IT manager provides reasons as to why they chose Cisco as their vendor. One of the reasons he gives was that the system is easily expandable, allowing the ability to scale out/up the network.

The author, Didier Fassin is an anthropologist and sociologist who works overseas in Sengal, Ecuador, South Africa, and France. He is a physician and has a background in public health and global health as well. He is a professor of social science at the Institute for advanced Study in Princeton, New Jersey. He has focused on the AIDS epidemic as well as humanitarian efforts.  

https://www.ias.edu/scholars/fassin

https://www.sss.ias.edu/faculty/fassin

On the website, it mentions that the program was started and located in Tulane due to actions that occurred post- Katrina in New Orleans. The program began due to "failures in disaster leadership" after Katrina. Tulane University was chosen due to the fact that it has exemplified such resiliency and leadership after Hurricane Katrina and portrays and provides an excellent setting for a program such as this. 

This policy was established in 1965 and set down protocols for the Medicaid program. The medicaid program provides funding for medical and health related services to people who have a limited income. This policy specifically denotes what defines an institution, determining whether or not an institution is IMD and other aspect such as ages, costs and the definition of IMD are also set forth. Ultimately proving to set parameters and expectancies to those people and institutions that find themselves operating within this policy or referencing it. 

I read up on what constitutes people who can classify as peri-disaster personnel, I found the concept interesting and didn't realize there was a specific name to classify those people, I always wondered about the people who were indirectly effected by a disaster or partially effected due to proximity. I also researched comorbidity and common forms of mental illness that arise in post disaster survivors. 

The report shows that there are obvious measures of fallout and exposure due to the disaster. The numbers show a clear effect of the disaster on the environment, animals and humans surrounding the area. Due to this, this puts technical professionals in a position in where they must take obvious precautions, and proceed with this data ethically and attempt to combat it and increase the preservation of the environment as well as areas and people surrounding the area of disaster. Professionals now must with this data and these findings apply their degrees and background to help improve the conditions ad fallout. They now have a duty in their respective fields to work with these findings and use them to better the situation to the best of their abilities.