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REU Site: Civic Data Science

REU Site: Civic Data Science
REU 网站:公民数据科学
批准号:
1659757
负责人:
Christopher Le Dantec
金额:
$36.0万
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:
2017-04-01 至 2020-03-31

项目摘要

项目成果

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中文摘要
翻译
佐治亚理工学院公民数据科学本科生研究体验(REU)是一个为期10周的沉浸式研究体验,面向有兴趣在公民重要性领域(如公共安全和服务、交通、可持续性和民主参与)为数据科学发展领域做出贡献的本科生。这个为期10周的课程将包括通过技能训练营进行的正式技术培训,以及每周由学术和行业从业者在组成数据科学的各种实践中提供的小组学习课程。在REU的经历将扩大学生对研究和研究过程的理解,将学生安排在团队中,其中包括研究成熟度相近的其他学生,以及从新研究人员过渡到独立研究人员的研究生。这种接触将告知学生未来在学术界和工业环境中潜在的职业道路的选择,在这些环境中,构成数据科学的技能的需求正在增加。在更大的社会背景下,通过围绕公民数据科学问题构建项目的研究活动,预计暑期项目的成果将对当地、政府和非营利组织的合作产生短期影响,并通过展示将技术技能应用于公民重要领域的机会,对学生产生长期影响。该项目每年将在本地和全国招收10名具有不同学术和文化背景的优秀本科生。REU网站的重点是数据科学的数据、分析和用户交互方面,这是一个传统上没有从计算进步中受益的领域——公民部门。虽然数据科学的公民应用是多种多样的,但它们有共同的主题:它们通常是基于地点的,它们处理的数据来自孤立的收集系统,它们涉及固有的不完整和不准确的数据,它们产生的信息和见解可供政府、社区治理组织和社区成员中的非数据专家使用。这些主题将为REU站点队列的智力努力提供连贯性。学生将在由至少一名研究生和至少两名本科生组成的团队中工作,并由一名教职员工密切指导。该计划的高潮是海报,演示和接待展示,向公众开放,并在校外场地举行。最后的活动旨在展示学生们的作品,并将他们与更大的数据科学社区(在亚特兰大和其他地方)联系起来。
英文摘要
The Georgia Tech Research Experience for Undergraduates (REU) on Civic Data Science is a 10-week immersive research experience for undergraduate students interested in contributing to the developing field of data science in areas of civic importance, such as public safety and services, transportation, sustainability and democratic participation. The 10-week course will mix formal technical training through a skills bootcamp and weekly group learning sessions presented by academic and industry practitioners working across the diverse practices that make up data science. The REU experience will expand the students' understanding of research and research process by placing students in teams that include other students at a similar level of research maturity as well as with graduate students who are further along in the transition from new to independent researcher. This exposure will inform students' future choices about potential career paths within academia as well as within industrial settings where the skills that compose data science are in increasing demand. Within a larger social context, by structuring the program's research activities around civic data science problems, it is expected that the products of the summer program to have near-term impact on partnering local, government and non-profit organizations, and long-term impact on the students by demonstrating opportunities to put technical skill to work in areas of civic importance. Each year the program will recruit 10 outstanding undergraduates both locally and nationally with diverse academic and cultural backgrounds.The focus of the REU site is on the data, analytics, and user interaction aspects of data science in a domain that has not traditionally benefited from advances in computing - the civic sector. While civic applications of data science are diverse, they share common themes: they are frequently place-based, they deal with data coming from siloed collection systems, they involve inherently incomplete and inaccurate data, and they produce information and insights for use by non-data experts in government, in community governance organizations, and by community members. These themes will provide coherence for the intellectual endeavors of the REU Site cohort. Students will work in teams comprised of at least one graduate student and at least two undergraduate students, mentored closely by a faculty member. The program culminates with a poster, demo, and reception showcase that is open to the public and held at an off-campus venue. The final event is meant to showcase the students' work and to connect them to the larger data science community (in Atlanta and elsewhere).
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1080/15228835.2017.1416514
发表时间: 2018
期刊: Journal of Technology in Human Services
影响因子: 1.5
作者: [Scott, Dorris, Oh, Jihwan, Chappelka, Miriam, Walker-Holmes, Mizzani, DiSalvo, Carl]
通讯作者: DiSalvo, Carl
Evaluating electric vehicle user mobility data using neural network-based language models
使用基于神经网络的语言模型评估电动汽车用户移动数据
DOI: --
发表时间: 2019
期刊: Proceedings of the Transportation Research Board (TRB
影响因子: --
作者: [Alvarez, K.*]
通讯作者: Alvarez, K.*
DOI: 10.1177/2399808318819847
发表时间: 2018-12
期刊: Environment and Planning B: Urban Analytics and City Science
影响因子: --
作者: [Jeremy Auerbach;Christopher Blackburn;Hayley Barton;Amanda Meng;E. Zegura]
通讯作者: Jeremy Auerbach;Christopher Blackburn;Hayley Barton;Amanda Meng;E. Zegura
HCC: Medium: Seamful Design: Prototyping and Evaluating Collaborative Tools for Civic Data
  • 批准号:
    2310592
  • 项目类别:
    Standard Grant
  • 资助金额:
    $120.0万
  • 财政年份:
    2023
  • 负责人:
    Christopher Le Dantec
  • 依托单位:
CHS: Small: Tools and Techniques for Supporting the Urban Public
  • 批准号:
    1524380
  • 项目类别:
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  • 资助金额:
    $49.98万
  • 财政年份:
    2015
  • 负责人:
    Christopher Le Dantec
  • 依托单位:
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