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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 contributors write: “Data are important, of course, but numbers sometimes imply an order to what is happening that can be misleading. Stories are better at capturing a different type of ‘big picture'.""

"Four decades later, in 1995, suicidal thoughts brought this anxious man back into the psychiatric system, at age 70. For the first time, he was put on an antidepressant, Zoloft. Six weeks out, both the panic attacks and the depression were gone. He resumed work, entered into a social life and remained well for the next 19 years — until his death."

FDNY, NYPD, the 2 EMTs, and a spokesperson from FDNY. No names were released.

The organization saw cholera cases pop up and immediately opened clinics in those areas to try to reduce the impact and spread of cholera, as well as mental health services for families that lost loved ones. They vaccinated for cholera, and improved the infrastructure in the areas to reduce the spread of all waterborne diseases.

It is part of the ebola response, but does not disclose any sources of funding.

Examples from history are used to support claims from 9/11, as the author is a historian, and probably following the saying "history repeats itself" to show similarities between disasters and responses.

Newspaper atricles were also cited to show public response.

Thae laws are examined and explained to the reader. Examples of citations from physicians are also included with stories of the individual's journey and experiences.

The study addresses the survivors of Katrina fairly soon after the disaster, at a time when they likely do not have much stability. Many were without homes, may have lost family or friends, neighborhoods were torn apart, schools were destroyed, and money was very thin. It was not an easy time, so focusing on this group at such a stressful time was the goal of the study.