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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.

Since the article reported that this is the fourth edition of the design, most of the problems are solved during the refurbishment of product. So there are not many problems with the design as they tested with the publics. But they plan to make the bridge “stronger, longer, lighter, more compact and quicker to set up”.

This study has let the news agencies to have a new term to report with the articles that relevant to public health and mass imprisonment when introducing contents to the general publics. The data and observations been made within the epidemiological study has assisted the new articles to explain the incarcerated group in a more colloquial and easy understanding way.

“When public health authorities talk about an epidemic, they are referring to a disease that can spread rapidly throughout a population, like the flu or tuberculosis.

But researchers are increasingly finding the term useful in understanding another destructive, and distinctly American, phenomenon — mass incarceration.” [http://www.nytimes.com/2014/11/27/opinion/mass-imprisonment-and-public-…]

“Since the 1970s, the correctional population in the US has ballooned by 700 percent.  This phenomenon is often referred to as mass incarceration.” [http://www.philly.com/philly/blogs/public_health/Mass-Incarceration-A-P…]

Professional uses citations:

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From the links provided within the article, relevant information about Hurricane Katrina can be viewed with the commentary and archival articles that published in The New York Times that written by other authors.

Also the author has made in contact with Memorial Medical Center in Uptown New Orleans to focus on the investigation into the detail situations happened with the floodwaters. Afterwards, gained more information on the lethal injection issues.

[http://www.nytimes.com/topic/subject/hurricane-katrina?inline=nyt-class…]

[http://www.nytimes.com/topic/subject/hurricanes-and-tropical-storms-hur…]

This policy is drafted by United State Environmental Protection Agency. And their mission is to protect human health and the environment via the development and enforcement with regulations. 

Due to the mass destruction of the area, the first few days’ data were not able to collect (not  only the destruction, but the rescue was the first priority). Therefore, the scientific committee  used models to simulate and analyse the data (might not be accurate on the early stage). After  the rescue, many countries have provided data to assist the works. For the long‐live radioactive  substances, the data was able to collect with the ground soils. Furthermore, prediction can be  made with the pass experiences and the basic models.

The received data can be managed and visualised into charts or map tiles (e.g. open street maps or satellite maps). The data is visualized in the panel of “Visualize Your Story “with four modes of visual features.

• Branded Deployment
• Map Mode
• Timeline Mode
• Activity Analytics Mode