An Inquiry into the Number of Traffic Tickets Issued and Implications for African Americans Motorists

The purpose of this study was to examine the impact of race and gender disparities in police traffic stops as they relate to the number of tickets issued, number of consent searches, and number of arrests of traffic violators in the southern region of Texas, Harris County. The research will further shed light on how implicit bias affects police discretion and provide implications for police officers. This research will bring attention to the sanction disparity and examine the relationship between race and gender in motorist outcomes at the conclusion of traffic stops. The data for this research was conducted from secondary data obtained from Texas Commission on Law Enforcement (TCOLE) annual reporting and the Houston Police Department. The sample consisted of 21 Texas Law Enforcement Agencies in the Houston metropolis area of the state of Texas, Harris County. This included Law Enforcement Agencies from college/university police departments, Houston Police Department, Harris County Constables Offices, Harris County Sheriff’s Office, and Independent School District Police Officers. To specifically focus on implicit bias and Police discretion, an exhausted review of the literature was conducted. Further analysis examined implicit bias specified in the study as it relates to the use of discretion by police officers when contacting African American men and women in the southern region of Texas Harris County. The Standard Multiple Regression procedures including the multiple correlation procedure were used to test the aforementioned hypotheses. All hypotheses were tested at the .05 level or better. One of the most surprising findings of the current study was the significantly predictable relationship between racial variables (number of African Americans, number of Asians, number of Hispanics and other racial group violators) and the number of arrests given by officers associated with Texas Law Enforcement Agencies. The five racial variables were found to be significant linearly related to the number of tickets issued by officers of Texas Law Enforcement agencie

Understanding speeding in school zones in Malaysia and Australia using an extended Theory of Planned Behaviour: The potential role of mindfulness

Speeding in school zones is a problem in both Malaysia and Australia. While there are differences between the countries in terms of school zone treatments and more generally, these differences do not explain why people choose to speed in school zones. Because speeding is usually an intentional behaviour, the Theory of Planned Behaviour (TPB) has been used to understand speeding and develop interventions, however it has limitations which can be addressed by extending the model to incorporate other constructs. One promising construct is mindfulness, which can improve the explanatory value of the TPB by taking into account unintentional speeding attributable to a lack of focus on important elements of the driving environment. We explain what mindfulness is (and is not), how it can assist in providing a better understanding of speeding in school zones, and how it can contribute to the development of interventions. We then outline a program of research which has been commenced, investigating the contribution of mindfulness to an understanding of speed choice in school zones in two different settings (Australia and Malaysia) using the TPB

Data-driven personalisation and the law - a primer: collective interests engaged by personalisation in markets, politics and law

Interdisciplinary Workshop on â��Data-Driven Personalisation in Markets, Politics and Law' on 28 June 2019Southampton Law School will be hosting an interdisciplinary workshop on the topic of â��Data-Driven Personalisation in Markets, Politics and Law' on Friday 28 June 2019, which will explore the pervasive and growing phenomenon of â��personalisationâ�� â�� from behavioural advertising in commerce and micro-targeting in politics, to personalised pricing and contracting and predictive policing and recruitment. This is a huge area which touches upon many legal disciplines as well as social science concerns and, of course, computer science and mathematics. Within law, it goes well beyond data protection law, raising questions for criminal law, consumer protection, competition and IP law, tort law, administrative law, human rights and anti-discrimination law, law and economics as well as legal and constitutional theory. Weâ��ve written a position paper, https://eprints.soton.ac.uk/428082/1/Data_Driven_Personalisation_and_the_Law_A_Primer.pdf which is designed to give focus and structure to a workshop that we expect will be strongly interdisciplinary, creative, thought-provoking and entertaining. We like to hear your thoughts! Call for papers! Should you be interested in disagreeing, elaborating, confirming, contradicting, dismissing or just reflecting on anything in the paper and present those ideas at the workshop, send us an abstract by Friday 5 April 2019 (Ms Clare Brady [email protected] ). We aim to publish an edited popular law/social science book with the most compelling contributions after the workshop.Prof Uta Kohl, Prof James Davey, Dr Jacob Eisler<br/

Statistical Inequality and Intentional (Not Implicit) Discrimination

Racial disparities remain a disturbing fact of American life but whether those disparities are the product of discrimination remains deeply contested. This is an important question because as a society we are committed to remedying discrimination but are significantly more conflicted over addressing racial disparities that are not tied to discrimination. This essay explores the question of how we can determine when statistical disparities are the product of discrimination, and relies on two areas where the presence of racial disparities are incontrovertible – police automobile stops and school discipline. Based on a large number of studies, there is little question that African-American drivers are stopped and searched more frequently than whites, even though contraband is found more commonly on white drivers. Similarly, based on studies dating to the 1970s, African-American students are suspended and expelled at rates that are generally three times as high as white students, and there is little reason to believe that the disparities are solely explained by the behavior of African-American students. After refuting the nondiscriminatory explanations that are often offered to justify the disparities, the last part of the essay urges policymakers to treat repeated patterns of behavior as intentional, as opposed to implicit, discrimination, and offers a critique of the recent turn to implicit bias

Predictive Policing in China: An Authoritarian Dream of Public Security

China’s public security forces are employing more and more technology in their push for an ‘informatization (信息化)’ of their police work. The application of analytical techniques for solving past crimes or preventing future crimes based on big data analysis is thereby a key component of China’s approach for technology-led policing. China’s holistic policy approach for the purpose of maintaining social stability that is encompassing an ever-growing range of societal issues, the vast investments of its police forces in new technologies and its paramount objective of security, that clearly supersedes inter alia concerns of privacy or transparency, may be considered extremely conducive to the establishment of effective predictive policing in China. This paper however argues, that the application of predictive policing in China is heavily flawed as the systemic risks and pitfalls of predictive policing cannot be mitigated but are rather exacerbated by China’s approach towards policing and its criminal justice system. It is therefore to be expected that predictive policing in China will mainly be a more refined tool for the selective suppression of already targeted groups by the police and does not substantially reduce crime or increase overall security

Improving Fairness and Addressing Racial Disparities in the Delaware Criminal Justice System

This memorandum summarizes existing scholarly research on police stops; pretrial detention; charging, plea bargaining, and sentencing; and alternatives to incarceration. For each topic, the memo surveys the extent to which each of these contributes to racial disparities as well as inaccuracies in criminal justice; identifies reforms that have worked elsewhere to ameliorate these problems; and considers the extent to which these reforms are compatible with preserving and improving public safety. The memorandum concludes with a brief discussion of recent scholarship that both highlights larger social factors that contribute to disparity and identifies programs and initiatives outside of the criminal justice system that might reduce racial disparities within the system