EAGER: Rational Choice in the Real World: Unpacking Neighborhood Influences on the Decision Process for Youth Violence
EAGER: Rational Choice in the Real World: Unpacking Neighborhood Influences on the Decision Process for Youth Violence
批准号:
2308576
负责人:
Carole Gibbs
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-06-01 至 2025-05-31
中文摘要
在犯罪学中,理性选择理论提供了占主导地位的框架,研究人员试图通过它来理解与犯罪有关的决策过程。传统的理性选择理论考察假设,潜在罪犯更喜欢犯罪,因此只计算其成本和收益来决定是否实施犯罪。然而,对于完整的、更微妙的决策过程(来自决策科学)如何在实际的刑事事件中发挥作用,或者它是如何通过生活在导致社区暴力发生率较高的集中劣势地区而形成的,人们知之甚少。这种疏漏可能会扭曲我们对违法者的看法,并基于错误的假设制定不那么有效的政策。这个迫切的项目的首要目标是打开决策过程的黑匣子,因为它在生活在贫困社区的年轻人中发生的暴力事件中展开。这一基础科学可以通过借鉴那些导航与犯罪相关的现实世界背景的人的见解来理解邻里在决策过程中的作用,从而促进对所有形式犯罪的理解。除了这些理论见解之外,该项目还将通过协助针对决策过程的具体组成部分的决策,并寻求改变产生这种结果的环境,为减少青年暴力的努力提供信息。这项工作的影响将通过为学生和博士后提供研究和专业发展机会,与受社区暴力影响最严重的社区的社区顾问委员会合作,并创建一个技术顾问委员会来为传播计划提供信息来增强。为了实现项目目标,研究小组将收集居住在密歇根州兰辛市贫困社区的18至24岁青年的多次访谈数据,以检查暴力事件期间决策过程是如何运作的,以及背景对其的影响。访谈方案将使用归纳和演绎技术来推导,并将开发一种编码方案来构建青年决策过程及其邻里影响的心理模型。这项工作的完成将产生犯罪学领域最新的选择框架,以增进对决策和暴力的了解,并为在很大程度上应对犯罪的相关政策提供信息,好像它与发生犯罪的社会环境无关。我们必须解决犯罪学理论中这个有问题的方面,因为当前的政策(例如,大规模监禁)对已经被边缘化的社会部分(即年轻的黑人男性)是有害的,我们往往忽视了决策过程的复杂性。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Within Criminology, rational choice theory provides the dominant framework by which researchers have attempted to understand the decision process as it relates to crime. Traditional examinations of rational choice theory have assumed that would-be criminals prefer crime and therefore only calculate its costs and benefits to decide whether to commit it. However, little is known about how the full, more nuanced decision process (from decision sciences) plays out in actual criminal incidents or how it is shaped by living in areas of concentrated disadvantage that contribute to high rates of community violence. This omission can distort how we view offenders and produce less effective policy based on faulty assumptions. The overarching goal of this EAGER project is to unpack the black box of the decision process as it unfolds in incidents of violence among youth living in disadvantaged neighborhoods. This basic science can advance understanding of all forms of crime by drawing on insights from those navigating the real-world contexts associated with crime to understand the role of neighborhoods in the decision process. In addition to these theoretical insights, this project will inform efforts to reduce youth violence through decision aiding that targets specific components of the decision process and by seeking to change the contexts that produce such outcomes. The impact of this work will be enhanced by providing students and a postdoctoral fellow with research and professional development opportunities, partnering with a community advisory board from the communities most impacted by community violence, and creating a technical advisory board to inform the dissemination plan.To achieve project goals, the research team will collect data from multiple interviews with youth ages 18 to 24 residing in disadvantaged neighborhoods in Lansing, Michigan, to examine how the decision process operates during violent incidents and the contextual influences on it. Interview protocols will be derived using inductive and deductive techniques, and a coding scheme will be developed to construct mental models of youth’s decision process and its neighborhood influences. Completion of this work will produce an updated choice framework to the field of Criminology to improve understanding of decision-making and violence and inform related policies that largely respond to crime as though it is unrelated to the social milieu in which it occurs. It is imperative that we address this problematic aspect of criminological theory, as current policies (e.g., mass incarceration) are detrimental to an already marginalized segment of society (i.e., young Black males) for whom we tend to overlook the complexity of decision processes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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