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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.

Emergency response is addressed in this article as mentioned above, stating how it should be the focus of disaster prepardness instead of disaster prevention. Schmid also discusses the important components necessary in an emergency response team including analysis of previous disasters and experience from disaster relief organizations like the UN, and improvisation instead of comparing one disaster to another as no two disasters are identical.

“Yet risk has never been determined solely by individual behavior: susceptibility to infection and poor outcomes is aggravated by social factors such as poverty, gender inequality, and racism”

“we have transplanted and adapted the “PIH model” of care, which was designed in rural Haiti to prevent the embodiment of poverty and social inequalities as excess mortality due to AIDS, TB, malaria, and other diseases of poverty”

“Physicians can rightly note that structural interventions are “not our job.” Yet, since structural interventions might arguably have a greater impact on disease control than do conventional clinical interventions, we would do well to pay heed to them.”

The article addresses the inequities in public health by showing how millions of tons of dust from concrete and asbestos were kicked up into the air after the tower collapses of 9/11 and was then determined to be safe per the EPA. A lawsuit was filed against the EPA on behalf of schoolchildren required to attend school in buildings near the site of the collapse and forced to breathe in so-called safe air. Emergency response is not directly addressed however plans of mandating that the EPA pay for the cleanup process are mentioned.

The program is situated in Hiroshima and is based on the benefits and disasters of radiation to humans, including the atomic bombs in Hiroshima and Nagasaki. It is also based on the Fukushima disaster and the University's response to it, realizing that there is a need for global leaders in the field of emergency response.

The “PIH Model of Care,” research in Rwanda, and work in Haiti were followed up on

The policy addresses how healthcare workers should respond to a suspected ebola incident. This is directly to public health because it affects how the public will receive medical care in the event of an ebola incident.

Representatives of the Indian Health Service have made numerous congressional testimonies and numerous pieces of legislation have been passes to support the IHS, however, it does not appear that any relate to emergency response or disaster.

One argument presented is that public engagement in technical decisions can lead to great vigilance and confidence in emergency preparedness and that decisions governing technologies should not be left to the scientist. There is benefit in including lay people and STS scholars. This also includes public awareness about emergency response instead of one elite governing body controlling what is best for the public. Nuclear emergency responses must be transparent.