The data analysis was based on the state of Ohio and compares the number of citizens disenfranchised due to felony convictions based on race and gender, as presented in Appendix. Examining the statistics reveals a clear disparity: 43% of those convicted in Ohio are African Americans (Uggen et al., 2022). At the same time, the black population of Ohio is only about 14% (United States Census Bureau, 2021). The number of convicted women does not exceed 15% of the total, which is consistent with national statistics (Thompson, 2021). However, based on the data above, it can be assumed that black women will make up a large percentage of convicts. Thus, data for the state of Ohio demonstrates the presence of discrimination on the basis of race.
The found statistical deviations indicate discrimination against the black population, which must be addressed within the framework of community policing duties. A smart strategy for addressing this problem would be to increase the requirements for evidence when arresting for offenders. The fight against personal prejudice in the criminal system is also important through the additional education of employees (Rucker & Richeson, 2021). Crime date reporting by ethnic and racial differences should be improved by using new digital methods, such as artificial intelligence for sorting and distributing data (Browning & Arrigo, 2021). The use of artificial intelligence for collecting statistics should significantly improve the situation by lowering the paperwork and reducing the burden on employees.
In conclusion, the data analyzed suggests that there is racial discrimination against African Americans in the state of Ohio. Even though women in general are not discriminated, black women are at high risk. Community policing should use a strategy of increasing evidence base requirements to improve the situation. The use of modern technological tools for statistical analysis will provide more convenient data on crime victims and offenders.
References
Browning, M., & Arrigo, B. (2021). Stop and risk: Policing, data, and the digital age of discrimination. American Journal of Criminal Justice, 46(1), 298-316. Web.
Rucker, J. M., & Richeson, J. A. (2021). Toward an understanding of structural racism: Implications for criminal justice. Science, 374(6565), 286-290. Web.
Thompson, K. (2021). Gender and crime statistics. Revise Sociology. Web.
Uggen, C., Larson, R., Shannon, S., & Stewart, R. (2022). Locked out 2022: Estimates of people denied voting rights. The Sentencing Project. Web.
United States Census Bureau. (2021). Ohio. Explore Census Data. Web.