Skip to main content

Analyze

Love Canal, USA

Misria

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.

What steps does a user need to take to produce analytically sharp or provocative data visualizations with this data resource?

bmvuong

The main page on the site immediately directs you to a search bar where you can search for a state agency, topic, or keywords. There is also a guidebook and a public open data training video for a user to learn how to find data and produce data visualizations.

What data visualizations illustrate how this data set can be leveraged to characterize environmental injustice in different sett

bmvuong

This figure shows a smaller window open within the California State Water Resources Control Board page on Cal Open Data Portal, providing straightforward access to an Excel document displaying a dataset within the state 2019 water quality status report that sampled 1,2,3-trichloropropane, a drinking water contaminant.

How scales (county, regional, neighborhood, census tract) can be seen through this data resource?

bmvuong

Cal Open Data Portal draws data from state agencies. Census tracts can be searched for, for example, searching for Census Tract Disadvantaged Communities 2018, opens a synopsis and map showing each tract and its attributes. However, some of these data sets are linked to GIS programs, meaning they could be layers that are created to add to a map, making it difficult for non-GIS users to navigate and understand. In an attempt to provide assistance with this measure, the website provides a guidebook and a public open data training video for a user to learn how to find data and produce data visualizations. 

What data is drawn into the data resource and where does it come from?

bmvuong

California Open Data Portal is designed to host open data from more than one state agency and aims to link all existing state portals in order for California's open data sets to be easily searched for from https://data.ca.gov. Open data or public data is collected through the state's routine business activities and is published in a way that is simple to search for, download, and combine with other data. Open data does not include private or confidential information on individuals.