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Health data as evidence

ATroitzsch
Annotation of

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

Anonymous (not verified)
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.