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REU Site: UNCC Crime Analytics - Research Experiences for Undergraduates

REU Site: UNCC Crime Analytics - Research Experiences for Undergraduates
REU 网站:UNCC 犯罪分析 - 本科生研究经验
批准号:
1659748
负责人:
Michael Turner
金额:
$30.67万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-03-15 至 2023-02-28

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中文摘要
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英文摘要
This project is funded from the Research Experiences for Undergraduates (REU) Sites program in the SBE Directorate. It has both scientific and societal benefits, and it integrates research and education. The Crime Analytics REU is a ten-week summer program designed to help students develop research skills and technical abilities in the multidisciplinary fields of data science and analytics, and to prepare them for graduate study or employment in a data-saturated economy following graduation. Specifically, the program seeks to: 1) aggressively recruit a diverse subset of undergraduate students to actively participate in innovative research projects that apply analytic tools to make decisions about crime; (2) expose students to foundational analytic methods early in their educational careers in hopes of encouraging their involvement in data science and an analytics-based field of study; (3) expose and engage students to research opportunities that demand communication and cooperation across experts in traditional disciplinary boundaries; (4) enhance students' educational experiences by exposing them to workshops, seminars, and social activities that enrich their professional development and inspire them to pursue graduate school; and (5) foster shared interdisciplinary communication skills by offering opportunities to disseminate research findings via an annual undergraduate research symposium, annual professional conferences, and peer-reviewed journal outlets.The Crime Analytics-REU site is modeled around a team-based pedagogical concept in which students will be selected and assigned to interdisciplinary research teams that will use cutting-edge data technologies to explore problems related to crime and criminal justice. Students will be exposed to data science skills that include working with large data sets, data mining and manipulation, machine learning, crime mapping, quantitative modeling, and data visualization. Students will also be taken to visit leaders in the data industry, such as SAS, Google, Apple, and the Charlotte-Mecklenburg Police Department's Crime Analysis lab. The research projects will culminate with the preparation and submission of a research manuscript for publication in an academic journal, and a public presentation of their research. Students will also participate in social and cultural enrichment activities as well as workshops designed to prepare them for graduate school and or professional employment in the data analytics field.
期刊论文(1)
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会议论文
DOI: 10.1080/0735648x.2020.1842789
发表时间: 2021
期刊: Journal of Crime and Justice
影响因子: 1.2
作者: [Bjerregaard, Beth, Akin, Shelleen, Moses, Sarah, Towers, Crystal]
通讯作者: Towers, Crystal
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