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Following the article, the author J. Kenens has published another paper "Changing perspectives: tracing the evolution of citizen radiation measuring organizations after Fukushima (2020)" DOI: 10.1051/radiopro/2020041 (link) that draws on the research on citizen science in Japan with a new focus on the comparison of their practices directly after the nuclear accident and today. 

It is interesting to see how citizen science in Japan is enacted and how the concept of citizen science is dependent to the social and cultural context. Also looking at it not only from a top-down perspective, where universities or organizations are involved, but also the bottom-up perspective that includes only those practices that are done by citizens alone opens up a new space. As I am currently engaging with research on air pollution in different sites, I could build from this text in considering the link between "citizen-driven approaches and institutional imparatives in the governance" (p. 7) of issues with air pollution. 

The text is an article about citizen science in the aftermath of the Fukushima disaster in 2011. The first noteworthy detail about this text that struck me is the inclusion of Japanese words and even their original spelling. This creates a kind of closeness to the field that the authors did their research in. 

The authors engaged in multi-sited ethnographic fieldwork that took place in and around Fukushima but also in other geografical sites like Tochigi, Miyagi, Aichi, Tokyo and Kyoto. There, they conduct semi-structured interviews with various organisations that are all somehow involved with citizen science or radiation measurement.  To learn about the citizens that measure radioactivity and create their own data on radiation because of a lack of provided data by the government, a literature review of policy documents and workshops with those citizen scientists is performed. 

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.