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Louisiana, US_EiJ Paraconference

Misria

In Louisiana, governing elites have long found it more profitable to deny the connections between health outcomes and the structural inequities of an anti-Black petrostate. Their denial is made possible by the existence of data divergence–that is, inconsistencies between data sets or between a data set and the realities it purports to represent (Encyclopedia of Social Measurement 2005). These inconsistencies range from missing or “undone” (i.e. incomplete or ignored) data (Frickel et al. 2007) to the production of different measures (and the selection of different priorities) by institutional silos. Recognition of the need for public health capacities that address the systems and structures impacting health–especially children’s health–has motivated health equity advocates in Louisiana to fill the data gaps through collaborative datawork, that is, the work of making data meaningful across social and scientific communities. In 2022, a coalition of community organizations, academic researchers, and public health workers led by the Louisiana Center for Health Equity (LCHE), a community-based organization created by a registered nurse, worked together to examine the links between adolescent mental health and disciplinary practices in schools. Ensuring their agendas were informed by community priorities led them to incorporate the contributions of adolescents advocating for better access to physical and mental healthcare resources and the abolishment of discriminatory and punitive disciplinary actions in schools. Their collaborative datawork revealed how data gaps around adolescent mental health are a structuring component of schools’ discriminatory and punitive climates–much as gaps in environmental health data benefit polluting industries. They found that existing figures around adolescent mental health are inaccurate, as many youth are unable to receive an official diagnosis owing to lack of healthcare access. LCHE advocates at a house committee meeting in January 2023 reported that students who exhibit behavioral issues rooted in trauma or mental health more often receive punitive disciplinary actions rather than rehabilitative and restorative services. This work generated the support needed to pass legislation to expand public health infrastructure and access to mental health resources. In June 2023, House Bill 353 authorized the allotment of "mental health days" as an excused absence for students; introduced procedures for schools to connect students to medical treatment and services; and required the Louisiana Department of Education to develop and administer a pilot program for implementing mental health screening, among other changes. By mobilizing advocates and scholars from across the social and institutional silos, LCHE’s collaborative datawork tentatively expanded children’s public health infrastructures. 

Fisher, Margaux. 2023. "Collaborative Datawork and Reframing Adolescent Mental Health in the Deep South." In 4S Paraconference X EiJ: Building a Global Record, curated by Misria Shaik Ali, Kim Fortun, Phillip Baum and Prerna Srigyan. Annual Meeting of the Society of Social Studies of Science. Honolulu, Hawai'i, Nov 8-11.

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

albrowne

The UI for the portal is straightforward and easy to use and also doubles as a GIS. Through the advanced search function users can use either the criteria or filter tabs to narrow their searches to specific sites. For example when you narrow down the search to RMP facilities only you can quickly pinpoint all of these facilities on a map of an area to show how burdened an area may be with these types of facilities.

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

albrowne

The data can very quickly show you how many facilities a geographical area may have. This can allow users to see how burdened a neighborhood for example may be with specific facilities.

What visualizations can be produced with this data resource and what can they be used to demonstrate?

albrowne

One of the only data visualizations this site offers is plotting down pinpoints on a map showing individual facilities. If there is more than one site in a certain geographical area then it will group the sites together and provide a circle for where the sites are contained with the number of sites listed on the circle. This makes this data resource not super flexible in ways it can display information. However this is a helpful visualization as it can quickly show you how many specific facilities a certain location may have

 

You can also generate simple graphs with the data that displays the amounts of certain facilities throughout the state. This is a good tool for tracking all regulated facilities which can help users address Ej on a statewide scale.

What can be demonstrated or interpreted with this data set?

albrowne

What this lacks in visualizations it makes up for drastically in easy to use UI and for creating one location for all of the state's facility data. By using its advanced search tool users can quickly find a plethora of data on extremely specific sites. This tool will show when the facilities had their most recent evaluations and whether or not there were violations, rough estimates on onsite stored chemicals, which regulatory programs they are a part of, CalEnviroScreen percentile ranges, and a contact list for facility employees.

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

albrowne

This data resource can scale from the state level down to the census tract in terms of facility locations. For data visuals it groups sites together so you can not get a comprehensive visualization of regulated sites beyond the neighborhood and census tract level.