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This research underlines the usefulness of Civil Rights Geographic Information Systems (CR-GIS) for understanding the social struggles and assessing the critical needs of the disempowered population of Alabama’s “Black Belt.” The social struggles have been persistent for decades in the Southern states, particularly in Alabama. Researchers have recognized the political and historical root causes and implications for these social struggles. The geographic region of Alabama’s Black Belt is significant because it became the epicenter of the Civil Rights struggle and still represents the vestiges of the social policy known as “Jim Crow.”

Although GIS has a great potential to explore social and political struggles, currently, it is not profoundly associated with Civil Rights studies. This research employs CR-GIS to illustrate the impact of the disfranchisement caused by biased geopolitics in three selected cases/issues: (1) gerrymandering and voting rights, (2) transportation, and (3) poverty in the State of Alabama. While there has been some progress in overcoming the social struggles in the Black Belt, there is a need for qualitative and quantitative analyses to understand persistent social, economic, and Civil Rights struggles in the region. GIS could be a valuable tool to understand and explore the social struggles in the disempowered communities of the “Black Belt” in Alabama. By incorporating the existing information and conducting ground truth studies, this research will lay the basic foundation for extended research by creating a policy template for empowering the disempowered for better social, economic, and political integration in the “Black Belt region.”

Intergenerational confinement is an under-recognized, policy-driven issue which greatly impacts Indigenous and racialized peoples in countries with ongoing colonial legacies. Numerous policy solutions enacted over colonial history have exacerbated instead of mitigated this situation. This chapter advances an improved understanding of the impacts of carceral legacies, moving beyond the dominant focus of parental incarceration in the literature. Focusing on Indigenous peoples, multiple generations in families and communities have been subjected to changing methods of confinement and removal. Using critical policy analysis and interview research, this chapter interrogates these intergenerational impacts of carceral policy-making in Canada, Australia, and New Zealand. Drawing on qualitative interviews with 124 people in the three case countries, this chapter centers perspectives of people who have been intergenerationally confined in carceral institutions. With a goal of transformation, it then explores an alternative orientation to policy-making that seeks to acknowledge, account for, and address the harmful direct and indirect ripple-effects of carceral strategies over generations.

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.