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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 main methods that the authors appear to use are reported data from disasters that have happened around the globe, including numbers and types of infections, displacement and crowding data, and knowledge of the disaster incidents examined

The main point of the article is to report a conflict of opinions between the NRC and the Disaster Accountability Project on the safety of the communities surrounding the Indian Point Nuclear Power Plant. The NRC and the company running the plant, Entergy, state that those communities within a 10 mile radius are required to have emergency evacuation plans in place should a nuclear emergency occur; those outside this radius, however, are not at as large of risk. The nonprofit, however, cites the NRC's report on the Fukushima disaster, where it recommended the US citizens within 50 miles of the plant should evacuate the area, and suggests that communities within a 50 mile radius of Indian Point have specific nuclear emergency plans at hand and prepared for use. Entergy says that the radius "provides a robust safety margin", and the NRC replies to the Disaster Accountability Project's statement by saying that the incident at Fukushima is not comparable to any nuclear power cite in the US, due to the size and number of reactors in the Fukushima plant.

"The risk for commuicable disease transmission after disasters is associated primarily with the size and characteristics of the population displaced, specifically the proximity of safe water adn functioning latrines, the nutritional status of the displaced population, the level of immunuty to vaccine-preventable diseases..., and the access to healthcare services"

"...natural disasters (regardless of type) that do not result in population displacement are rarely associated with outbreaks"

"When death is directly due to the natural disaster, human remains do not pose a rise for outbreaks"

The author contacted both the NRC and the nonprofit Disaster Accountability Project for statements and information on the safety of the plant and if emergency plans were in place. The NRC gave statements and information on their discussions with the Disaster Accountability Project, and the nonprofit described their process of sending freedom-of-information requests to 20 jurisdictions in NY, NJ, and CT located up to 50 miles from Indian Point, in order to determine if they had emergency plans related to the power plant and what they might be