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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.

There were several forms of resilience int eh article. The Federal Emergency Management Agency (FEMA) were preparing several emergency personnel are preparing all along the coast. In addition to this, there were several shelters open, one specfically at the John F. Kennedy Recreation Center. Many of the shelters had also teamed up with Red Cross to help during the storm.

The author of the article took several quotes from government officials to depict the severity of the situation: mainly taking quotes from governors and even the president to illustrate how the hurricane affected the surrounding communities and mentalities of those living in such towns. In addition, the author added statistics of the support relief and the number of deceased due to the storm. The author also discussed the background of many of the public transportation work shifts, such as airlfight and train systems: they were down becuase of the storm.

The largest risk at hand would be how the nautral disaster, Hurricane Sandy, affected the beaches of New Jersey, causing some the beaches to lose a significant amount of sand; this becomes a risk because the beaches weren't available to use. The beaches of New Jersey make most of the profit in tourism: the shore gaining $35.5 billion for tourism locations. This became a risk becuase there was money lost during and after the storm, as groups tried to repair the shores. In addition, the cost to repair the shores were extremely costly. Another group that received risks and hazards were the communities near the shores: they had to change their entire lifestyle when the beaches were destroyed after the storm. Those communities had to learn how to live without the beaches' resources and had to get accustomed to not going down to the shores while the beaches were being restored.

After the storms, many towns affected came up with ways to increase protection in infrastructure. Town officials working alongside exerpts have been working to upgrade their plans on making their communities more resilient to natural disasters. There have also many several funds and donations for the towns affected by Sandy; there have also been ways on how to help prevent flooding in such areas. In the article, it discusses how "the DEP has worked with local officials to design a proposed $230 million federally-funded system of flood walls along the Hudson River for Hoboken and parts of Weehawken and Jersey City."

"Hurricane Irene marches north, leaving at least 8 people dead and close to 2 million without power in the states it has already hit. Tonight it bore down on millions more from the Delmarva peninsula to the Jersey Shore and the New York metropolitan area."

"More than a million residents and visitors of the Jersey Shore have been evacuated, though a stubborn 600 people, many of them senior citizens, remain in high rise buildings on a barrier island in Atlantic City, according to New Jersey Gov. Chris Christie. Even before the core of the hurricane reached the area Sunday, Christie said winds could reach up to 75 mph at the upper floors of some of the buildings."

"New York Gov. Andrew Cuomo ordered 2,000 National Guard troops deployed to Long Island, New York City, and the Hudson Valley area to help with the storm. Troops will help staff shelters, control evacuation routes, monitor flood threats at the World Trade Center site and work with the Metropolitan Transportation Authority to secure railways and train tunnels."

"Defense Secretary Leon Panetta has issued a prepare-to-deploy order for 6,500 active duty troops from all the services to support hurricane relief efforts if necessary."

The aftermaths of Sandy had created many vulnerabilites to the communities around the shores. There were about 840 million gallons of raw sewage scattered into the Passaic River; and since the sewerage system had struggled to get back to full operating hours and service, there were 4.4 billion gallons of partially treated sewage were released into New York Harbor. In addition, many infrastructure was severely damaged after the storm: houses, power substations, police headquarters, etc.