Collaborative Research: HDR DSC: The Metropolitan Chicago Data Science Corps (MCDC): Learning from Data to Support Communities
合作研究:HDR DSC:芝加哥大都会数据科学队 (MCDC):从数据中学习以支持社区
基本信息
- 批准号:2123447
- 负责人:
- 金额:$ 90.43万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Diverse experts from five universities in, or with a presence in, the Chicago area are collaborating as the Metropolitan Chicago Data-science Corps to 1) help local non-profit organizations take advantage of increasing data volume and data complexity, 2) train data science students in how to effectively apply their academic knowledge to real data challenges in the non-profit sector, 3) exchange data science curriculum and expertise among these universities and with local community colleges. An organization can submit a Request for Data Services (RDS) and receive help to develop it. MCDC particularly welcomes RDS in areas related to environment, health, and our social well-being. Each RDS is assigned to a team of students. Teams of students with a foundation in data science are formed within a practicum course or as part of a summer internship. MCDC will develop the practicum course, where each team has one or more expert mentors and forms a partnership with the requesting organization. At the end of the term, each team will deliver a solution to each of the requesting organizations.MCDC is an interdisciplinary partnership between universities, myriad community organizations, and two expansion colleges and aims to strengthen the national data science workforce by integrating community needs with academic learning. By supporting infrastructure to unite diverse students and faculty across institutions and disciplines, by prioritizing the engagement of community, and embedding real-world team-based data science projects into the curriculum, the MCDC will be a uniquely powerful educational experience which will support societal progress. To realize this goal, existing curricula are grouped into multiple pathways to prepare a diverse range of students for participation in MCDC. MCDC students acquire both data acumen and societal knowledge that is intended to lead to a well-prepared and engaged workforce. The MCDC project directors combine extensive, proven, funded, and diverse expertise in curriculum development, inclusive learning practices, integrating real-world data into courses, learning systems, data science, as well as in health, social, and environmental sciences.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.
Diverse experts from five universities in, or with a presence in, the Chicago area are collaborating as the Metropolitan Chicago Data-science Corps to 1) help local non-profit organizations take advantage of increasing data volume and data complexity, 2) train data science students in how to effectively apply their academic knowledge to real data challenges in the non-profit sector, 3) exchange data science curriculum and expertise among these universities and with local community colleges.组织可以提交数据服务请求(RDS)并获得帮助以开发它。 MCDC特别欢迎与环境,健康和我们社会福祉有关的领域的RD。每个RD都被分配给一组学生。具有数据科学基础的学生团队是在实践课程中或作为暑期实习的一部分组成的。 MCDC将开发实践课程,每个团队都有一个或多个专家指导者,并与请求组织建立合作伙伴关系。在学期结束时,每个团队将为每个请求的组织提供解决方案。MCDC是大学,无数社区组织和两所扩展学院之间的跨学科伙伴关系,旨在通过将社区需求与学术学习相结合,以增强国家数据科学劳动力。通过支持基础设施,通过优先考虑社区的参与,将基于现实世界的团队的数据科学项目纳入课程,将各种学生和教职员工团结在一起,MCDC将是一种唯一强大的教育经验,将支持社会的进步。为了实现这一目标,现有课程被分为多种途径,以准备各种学生参加MCDC。 MCDC的学生同时获得了数据敏锐度和社会知识,旨在导致精心准备和敬业的员工队伍。 MCDC项目主管在课程开发,包容性学习实践,将现实世界的数据整合到课程,学习系统,数据科学以及在健康,社会和环境科学方面的课程开发,包容性学习实践中,将真实的数据整合到课程中,并将其奖励通过评估的知识者的支持和众所周知。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Suzan van der Lee其他文献
Region-related features of crustal and upper-mantle velocity structure of the Chinese mainland detected by surface waveform modeling
表面波形模型探测中国大陆地壳上地幔速度结构的区域特征
- DOI:
10.1007/s11589-008-0003-0 - 发表时间:
2008-05 - 期刊:
- 影响因子:0
- 作者:
冯梅;安美建;Suzan van der Lee - 通讯作者:
Suzan van der Lee
Crustal and uppermost mantle structures of the North American Midcontinent Rift revealed by joint full-waveform inversion of ambient-noise data and teleseismic <em>P</em> waves
- DOI:
10.1016/j.epsl.2024.118797 - 发表时间:
2024-09-01 - 期刊:
- 影响因子:
- 作者:
Bin He;Kai Wang;Tianshi Liu;Ting Lei;Nanqiao Du;Suzan van der Lee;Fiona Ann Darbyshire;Andrew Frederiksen;Hejun Zhu;David Lumley;Henry Halls;Qinya Liu - 通讯作者:
Qinya Liu
利用面波波形模拟探测中国大陆地壳和上地幔波速结构的分区特征
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
安美建;Suzan van der Lee;冯梅 - 通讯作者:
冯梅
Fossil flat-slab subduction beneath the Illinois basin, USA
- DOI:
10.1016/j.tecto.2006.06.003 - 发表时间:
2006-09-19 - 期刊:
- 影响因子:
- 作者:
Heather Bedle;Suzan van der Lee - 通讯作者:
Suzan van der Lee
Suzan van der Lee的其他文献
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{{ truncateString('Suzan van der Lee', 18)}}的其他基金
Collaborative Research: Dry Rifting In the Albertine-Rhino graben (DRIAR), Uganda
合作研究:乌干达艾伯丁-犀牛地堑 (DRIAR) 的干裂谷
- 批准号:
2021721 - 财政年份:2020
- 资助金额:
$ 90.43万 - 项目类别:
Continuing Grant
GP-IN: Graduate soft skills development through mentoring pre-university students through diverse geoscience experiences
GP-IN:通过多样化的地球科学经验指导大学预科生,培养研究生软技能
- 批准号:
2023263 - 财政年份:2020
- 资助金额:
$ 90.43万 - 项目类别:
Standard Grant
Collaborative Research: USArray Data Processing Short Course for the Next Generation of Seismologists II
合作研究:下一代地震学家 USArray 数据处理短期课程 II
- 批准号:
1045485 - 财政年份:2010
- 资助金额:
$ 90.43万 - 项目类别:
Standard Grant
Collaborative Research: Superior Province Rifting Earthscope Experiment (SPREE)
合作研究:苏必利尔省裂谷地球镜实验(SPREE)
- 批准号:
0952345 - 财政年份:2010
- 资助金额:
$ 90.43万 - 项目类别:
Continuing Grant
Collaborative Research: USArray Data Processing Workshop for the Next Generation of Seismologists
合作研究:下一代地震学家 USArray 数据处理研讨会
- 批准号:
0934397 - 财政年份:2009
- 资助金额:
$ 90.43万 - 项目类别:
Standard Grant
Acquisition of computing environment for geophysical research at Northwestern's Department of Earth and Planetary Sciences
为西北大学地球与行星科学系的地球物理研究获取计算环境
- 批准号:
0847951 - 财政年份:2009
- 资助金额:
$ 90.43万 - 项目类别:
Standard Grant
CAREER: Estimating Temperature and Water Content of the North American Mantle from Geophysical Observations
职业:通过地球物理观测估算北美地幔的温度和含水量
- 批准号:
0645752 - 财政年份:2007
- 资助金额:
$ 90.43万 - 项目类别:
Continuing Grant
Collaborative research: The Cenozoic history of the western US - a data integration strategy for Earthscope.
合作研究:美国西部的新生代历史 - Earthscope 的数据集成策略。
- 批准号:
0346200 - 财政年份:2004
- 资助金额:
$ 90.43万 - 项目类别:
Continuing Grant
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相似海外基金
HDR DSC: Collaborative Research: Creating and Integrating Data Science Corps to Improve the Quality of Life in Urban Areas
HDR DSC:协作研究:创建和整合数据科学团队以提高城市地区的生活质量
- 批准号:
2321574 - 财政年份:2023
- 资助金额:
$ 90.43万 - 项目类别:
Standard Grant
HDR DSC: Collaborative Research: The Data Science WAV: Experiential Learning with Local Community Organizations
HDR DSC:协作研究:数据科学 WAV:与当地社区组织的体验式学习
- 批准号:
2242944 - 财政年份:2022
- 资助金额:
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Collaborative Research: HDR DSC: Infusion of data science and computation into engineering curricula
合作研究:HDR DSC:将数据科学和计算融入工程课程
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2123237 - 财政年份:2021
- 资助金额:
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Collaborative Research: HDR DSC: Increasing Accessibility through Building Alternative Data Science Pathways
合作研究:HDR DSC:通过构建替代数据科学途径提高可访问性
- 批准号:
2123259 - 财政年份:2021
- 资助金额:
$ 90.43万 - 项目类别:
Continuing Grant
Collaborative Research: HDR DSC: The Metropolitan Chicago Data Science Corps (MCDC): Learning from Data to Support Communities
合作研究:HDR DSC:芝加哥大都会数据科学队 (MCDC):从数据中学习以支持社区
- 批准号:
2123486 - 财政年份:2021
- 资助金额:
$ 90.43万 - 项目类别:
Standard Grant