REU Site: UNCC Crime Analytics - Research Experiences for Undergraduates

该项目由SBE董事会的本科生研究经验（REU）网站计划资助。它具有科学和社会效益，并整合了研究和教育。犯罪分析REU是一个为期十周的暑期课程，旨在帮助学生培养数据科学和分析多学科领域的研究技能和技术能力，并为毕业后在数据饱和的经济中进行研究生学习或就业做好准备。 具体而言，该计划旨在：1）积极招募多样化的本科生，积极参与创新研究项目，应用分析工具来做出有关犯罪的决定;（2）让学生在教育生涯的早期接触基础分析方法，希望鼓励他们参与数据科学和基于分析的研究领域;（3）让学生接触并参与需要在传统学科界限内跨专家交流与合作的研究机会;（4）通过让学生接触讲习班、研讨会和社会活动来丰富他们的专业发展并激励他们追求研究生院，从而增强学生的教育体验;和（5）通过提供机会，通过年度本科生研究研讨会，年度专业会议，和同行评审的期刊网点。犯罪分析-REU网站是围绕一个以团队为基础的教学理念，学生将被选择和分配到跨学科的研究团队，将使用切割-边缘数据技术，探讨与犯罪和刑事司法有关的问题。学生将接触到数据科学技能，包括使用大型数据集，数据挖掘和操作，机器学习，犯罪映射，定量建模和数据可视化。学生还将参观数据行业的领导者，如SAS，谷歌，苹果和夏洛特梅克伦堡警察局的犯罪分析实验室。这些研究项目将以准备和提交研究手稿在学术期刊上发表以及公开介绍他们的研究而告终。学生还将参加社会和文化丰富活动，以及旨在为他们准备研究生院和/或数据分析领域的专业就业的研讨会。

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.