Analyze

Data infrastructure supporting recognition of the anthropocenic air pollution in the context of the 6th Naphtha plants is the collection of health related and biological data, as it could be one possibility to sue. The data collected in scientific studies mentioned in the film were the concentration of a certain metabolite (produced when being exposed to VCM) in the bodies of children visiting the schools nearby and the incidence of cancer in the surrounding area. Doing medical and epidemiological research on these topics could help to set regulations. And - and that's maybe even more important to the people affected - if you can prove that you got a disease from being near the factory, you might be able to sue.

Assessing the PM2.5 impact of biomass combustion in megacity Dhaka, Bangladesh - PubMed (nih.gov)

This article is about crop burning in Dhaka, Bangladesh and attempts to figure out if there is more or less harmful PM2.5 particulate air pollution caused by either fossil fuels or biomass, and during which season is one or the other higher in the air pollution it produces. During monsoon season, fossil fuels lead in the most PM2.5 releases at 44.3%. When it is not monsoon season and is the winter season, the percentages are way higher for PM2.5 air particulate releases at 41.4% for the remainder of the year. Across the globe, there are now people stepping up to uncover the true and real environmental and health impacts this harmful particulate byproduct causes in different parts of the world and with differring weather conditions than what we see in North Carolina. 

https://www.researchgate.net/publication/351209404_PM25_Emissions_from_…;

This study is set in South/Southeast Asia and uncovering that, when trying to count the percentages of PM2.5 put off during biomass, the true amount of emissions were being gravely undercalculated. Specifically rice straw burning becuase the amount burned varied so much because of different harvest and burning practices that it just wasn't taken into consideration. What this study does is go bottom up using these strategies: "subnational spatial database of rice-harvested area, region-specific fuel-loading factors, region, and burning-practice-specific emission and combustion factors, including literature-derived estimates of straw and stubble burned"(Lasko et al. 2021, 1). 

The most common air pollutants are called criteria pollutants and are regulated by the Clean Air Act and the EPA. These pollutants are: particles, ozone, nitrogen oxides, sulfer dioxide, carbon monoxide, and lead. The EPA have sections under the CAA that help regulate factories and air pollution in the environment. For example section 108 requires the EPA to identify the pollutants that are criteria pollutants, listed above, and determine if where they are coming from and if they "endander public health or welfare". Under section 109 the EPA had to set standards across the board for air pulltion in regard to human health and to the environemtn sperately (Christopher D. Ahlers 2016, 51-52).  There are many more sections that go into detail about what the CAA can do and what the EPA members are required to do as well. 

I think what is very striking in this text, is the author puts her perspective of the disability studies and uses it to draw lines from the disability studies, more particular the queer black disability studies, to the environmental justice movement. From reading the text, I think one can see, that Julia Belser is very involved in disability studies and the field of critical medicine/ psychology. The way she describes that we should turn away from always seeking to get (back) the pure nature, the healthy environment, the "healthy" body, she reminded me of the general idea of overcoming pure categories (for example Latour etc.) - and dualisms. Additionally, I think one could locate her in the area of inequality studies and the field analyzing structural violence.

"Within this latter understanding of citizen social science, listening to the field becomes an important tool to accumulate not only concerns and issues expressed by citizens (Morris-Suzuki, 2014), but also to adopt and borrow terminologies used by citizens to generate a more “socially robust science” (Bonhoure et al. 2019, Nowotny, 2003)." (p. 6)

Concept of citizen science (top-down/ bottom-up), and also dealing with the question of the politicalness of data, I think that's quite interesting. As one of the members says: "We agreed that if we just measure accurately, the truth will shine through. If we start saying that we are against [the government], people will label us as against [the government]. So it becomes more difficult for everyone to join us. [...]" (p. 4) - so data is configured as something apolitical, neutral here, and so the citizen science groups also can be like this. I think this is interesting, that they have this concept of data.