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Health data as evidence

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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.

Main argument

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Lee argues that EJ practice has long stagnated over an inability to properly define the concept of disproportionate (environmental and public health) impacts, but that national conversations on system racism and the development of EJ mapping tools have improved his outlook on the potential for better application of the concept of disproportionate impact. Lee identifies mapping tools (e.g. CalEnviroScreen) as a pathway for empirically based and analytically rigorous articulation and analysis of disproportionate impacts that are linked to systemic racism. In describing the scope and nature of application of mapping tools, Baker highlights the concept of cumulative impacts (the concentration of multiple environmental, public health, and social stressors), the importance of public participation (e.g. Hoffman’s community science model), the role of redlining in creating disproportionate vulnerabilities, and the importance of integrating research into decision making processes. Baker ultimately argues that mapping tools offer a promising opportunity for integrating research into policy decision making as part of a second generation of EJ practice. Key areas that Lee identifies as important to the continued development of more effective EJ practice include: identifying good models for quantitative studies and analysis, assembling a spectrum of different integrative approaches (to fit different contexts), connecting EJ research to policy implications, and being attentive to historical contexts and processes that produce/reproduce structural inequities.

The intersection of disability studies and environmental justice movement

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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.

Listen to the field

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"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)

Neutral data?

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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.

Participation

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I think the concept of citizen science and participation is interesting when we look at the participatory project of the Höchst Industriepark for the residents: They are invited to discuss about impacts of the Industriepark on the districts around. But in this context, the citizens they don't acquire data, but are invited to get informed about what Höchst Industriepark wants to do, what their plans are. I think the aspect of participation is a little hypocritical here: For me it seems to be a measure of making residents feel like they can participate, but there is no decision-making power with them.