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Residents of Love Canal, in the Niagara Falls region of Western New York, were alerted to signs of a toxic waste crisis involving the lethal chemical byproduct dioxin in the late 1970s. Residents learned about the crisis through news media, community activism and research, and their own visceral experiences – they could smell noxious fumes, noticed black sludge seeping into their basements, and saw children falling ill. Activists and academics carried out community-based research to survey the area in an effort to understand the extent of the hazard and its effects – data that they saw as missing, at the time – in turn generating evidence of changes in health and pregnancy abnormalities. In doing so, members of the community aimed to hold corporate and government stakeholders accountable to evacuate residents, organize remediation, and strengthen scientific studies and interventions to care for residents. Regional health authorities, however, dismissed community-based studies as “useless housewife data”. Activists responded by scrutinizing government and scientific studies, critiquing a lack of ecological validity and trustworthiness. Residents and community groups’ advocacy contributed to their exercise of epistemic authority, the creation of archival records and initiatives tracking the crisis over the last five decades, and wider public attention to Love Canal and other sites like it.

Image Description and Source: "Map showing distribution of symptoms believed to be caused by Love Canal pollutants," Digital Collections - University at Buffalo Libraries, May 1982.

Shankar, Saguna. 2023. "What's the Use of Data? Epistemic Authority and Environmental Injustice at Love Canal." In 4S Paraconference X EiJ: Building a Global Record, curated by Misria Shaik Ali. Kim Fortun, Phillio Baum and Prerna Srigyvan. Annual Meeting of the Society for Social Studies of Science. Honolulu, Hawaiti, Nov 8-11.

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. 

The authors "define disaster media as a heuristic, or approach, that recognizes the ways “natural” and human-made disasters are communicated about, constructed, and variously exacerbated or relieved through media means. This heuristic is not simply a temporary model for problem solving but tries to account for ecological forces and material conditions" (my emphasis).

They close the article with three provocations:

1) All Media on Deck: the current moment of combo disaster (COVID and climate crisis) requires the production of more public and open access materials (of various kinds), but also boosting of media literacy. The auhtors acknowledge the conundrum of producing more media, while being confronted with sustainability issues and the call for "no-carbon" media.

2) Relief and media Production: a critical look at the kinds of assumptions that governments/NGOs/industry bring to COVID-19 relief efforts (videos, websites, maps, algorithms...) -- what counts as relief and for whom? 

3) Focus on Social and Environmental Justice: "In moving forward, it will be crucial to approach disaster media as a domain in which structural reform agendas that interweave social and environmental justice can flourish."

In the article, the authors address visualizations of COVID cases, including related satellite mages of air pollution in Southern California and China (generated by NASA/ESA) as well as of mass graves in Iran.

First, they provide basic framing of how to critically read air pollution satellite imagery. Connections between COVID-19 measures and improvements in air pollution are not identifiable in a straightforward way.

"Figure 1a, for instance, uses bright magenta to indicate greater concentrations of nitrogen dioxide and light blue to signify cleaner air. However, such color choices can be misleading: there is no material correlation between nitrogen dioxide and the color magenta; and reduced traces of this chemical do not turn the sky a paler shade of blue. [...] color-coding selections imply, satellite images are not just scientific; they are cultural as well."

Second, they point out the paradox role of satellite imagery to account for the inequitable impact of COVID-19

"satellite image, from a US satellite operator, locates pandemic “excesses” in an Iranian “elsewhere.” But this is an increasingly deceptive proposition, given that the United States has one of the highest COVID-19 per capita transmission and fatality rates in the world."

Third, they draw comparisons between the "hockey stick" visualization of global Climate Change and the various "curves" used to display COVID-19 developments:

From a disaster media perspective, the film’s global warming graph depicts a dramatic climate shift, projects imminent catastrophe, and issues a world warning. Its circulation in global media culture for the past fifteen years potentially informs the ways people are engaging now with similar-looking charts of coronavirus death and illness. Historically, news media have relied on sensationalistic photos of human suffering to convey a sense of disaster, but in the age of big data and the current pandemic, numbers speak, and graphs and curves tend to dominate the mediascape. In both cases, scientific experts and publics must grapple with how these graphs make meaning, what datasets they rely upon, and how these media come to stand in for highly complex conditions.

Finally, they remark that COVID-19 visualizations are always incomplete - because of lack of testing and withholding of data - but also because stories of e.g. workers are missing. They reference the cover of the New York Times (May 24, 2020) that displayed the names of 100,000 people who had died from COVID.

The article points out the simulation Crimson Contagion that was run by the Department of Health in 2019.

"Despite all of the pressing unknowns of the disease, one cannot call its emergence unpredictable. A simulation by the US Department of Health and Human Services, code-named Crimson Contagion, ran from January through August 2019. The aim was to prepare for the effects of an influenza pandemic. The findings reportedly “drove home just how underfunded, underprepared and uncoordinated the federal government would be for a life or-death battle with a virus for which no treatment existed” (Sanger et al. 2020)"

They also note the rise in Internet usage, pointing to environmental and energy implications:

"[C]oronavirus capitalism is interwoven with digital capitalism (Schiller 1999; Terranova 2004; Fuchs 2019). The pandemic has prompted a massive rush to online spaces of work and leisure activities. It is estimated that the COVID-19 pandemic has increased total internet use by 70 percent (Beech 2020)."

"Yet with this surge in online activities and virtual gatherings, the COVID-19 crisis has both exacerbated and laid bare the internet’s rising energy dependency, its growing carbon footprint, and issues of energy justice. The challenge is to be able to address crises of various kinds while reducing fossil fuel use especially, and developing sustainable and equitably managed energy sources. There is a burgeoning scholarly literature about the ill effects of the nuclear, petroleum, coal, and hydroelectric energy sources that power the grid and about the environmental devastation their industrial incursions wreak. In the meantime, the impacts of extraction and production of the various energy forms that keep the grid and the internet operating are often toxic and inequitable." 

Finally, they point to the connection between media and health, including civic archiving of HIV activists.

[F]ilm and media scholarship on public health [...] not only serves as crucial context for the COVID-19 pandemic but also extends the conceptual contours of disaster media to include disease and illness, outbreaks and pandemics, and the ways government agencies address or fail to address health-related crises. Alexandra Juhasz’s book AIDS TV (1995) explores community educational initiatives and activist videos that became vital means of conveying information about and perspectives on HIV transmission during the 1980s and '90s and continuing public health crises. Addressing media portrayals of other outbreaks, Kirsten Ostherr’s Cinematic Prophylaxis (2005) critically examines Hollywood films “that represent the spread of contagious disease across national borders.” In it Ostherr argues, “Audiovisual materials play a crucial role in the articulation of world health, not only as vehicles of educational and ideological dissemination, but also as metaphors for the spread of disease within the processes of globalization” (2). Her study sheds light on the current COVID-19 crisis by demonstrating how outbreaks become disaster media.