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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 professional design teams a part of reaching a solution to make Newark more resilient to hurricanes. Among these groups, there was a group of students that had helped in planning. One of the teacher's in charge of a design group from NJIT had been teaching a master’s class in infrastructure planning. There were 15 students in the class that had helped her in her design strategies. After being into seven different teams, the students went out and did research in towns that were deeply affected by Hurricane Sandy. There were a range of majors among the students, from architecture to design or planning. Each student used his or her own knowledge and separate disciplines to come up with ideas to aid areas that were affected by Sandy.

Both the Federal Emergency Management Agency (FEMA) and Red Cross helped during this natural disaster. Also, New Jersey had sent out several sotrm warning and procedures on what to do if stuck in a troubling situation during the sotrm. New Jersey also sent out shelter locations to go to if necessary. In Newark, the public safety sent out several tips and methods to prevent any internal damage, such as flooding, in housing and what to store during the super storm.

The main point of this article was to illustrate the severity of the super storm Irene. It shows the stressed and frantic thought process and procedures before the storm. In addition, it shows the aftereffects of the storm and how many different places and people were affected greatly thoughout the East coast. These points are supported by quotes, statistics and overall analysis of the super storm itself.

A year after Hurricane Sandy, ten different design groups, filled with designers, architects, planners and engineers, decided to gather at NJIT to discuss ways on how to make Newark less vulnerable to hurricanes and other natural disasters. One team was lead by a professor at NJIT, who had four different proposals that will protect a wide portion of the coasts of New Jersey. Each of the teams came up with several ideas on how to make Newark more resilient to natural disasters.

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.