REU SITE: DATA SCIENCE RESEARCH FOR HEALTHY COMMUNITIES IN THE DIGITAL AGE
REU 网站:数字时代健康社区的数据科学研究
基本信息
- 批准号:1852498
- 负责人:
- 金额:$ 36.67万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-03-01 至 2024-02-29
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Critical applications are emerging in the interdisciplinary field of Data Science in the area of community health analytics. Yet despite the high potential impacts of data science on the community, not enough opportunities for undergraduate education and research immersion in data science are available. Supporting communities in the digital age rests on comprehensive data science solutions from machine learning, artificial intelligence to big data technologies. With an interdisciplinary team, participants in this project improve the state-of-art in data science to solve real-world problems from personalized health and well-being, public health by mental health screening tools, early alerts for infection spread, to environmental and transportation improvements. This Research Experiences for Undergraduates (REU) site helps to sustain our community's innovation-based economy by training students to acquire data science skills. This site provides access to data science research opportunities otherwise extremely limited. A goal is to boost retention of female students and underrepresented groups such as African Americans in Science, Technology, Engineering, and Mathematics (STEM) professions. Undergraduate research programs are known to improve students' interpersonal communication, professional networking, and research skills that they would not encounter in the classroom, and to encourage students to find their interest and seriously consider graduate studies. This REU site is a continuation of an REU site in Data Science successfully operated by the Worcester Polytechnic Institute Data Science program since 2016. This new site offers 30 additional students from a range of geographically diverse locations around the country access to vibrant scientific research projects and undergraduate mentorship. Comprehensive support for the REU participants, from close research mentoring to professional development, are provided. Students have the opportunity to network with professionals from the data science advisory board, alumni and industrial partners from companies and organizations as diverse as Google, MathWorks, and MITRE Corporation, thereby encouraging them to pursue Data Science in their careers.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.
关键的应用正在出现在社区卫生分析领域的数据科学的跨学科领域。然而,尽管数据科学对社会产生了巨大的潜在影响,但数据科学的本科教育和研究投入的机会还不够。支持数字时代的社区依赖于从机器学习、人工智能到大数据技术的全面数据科学解决方案。在跨学科团队的帮助下,该项目的参与者提高了数据科学的最新水平,以解决现实世界的问题,从个性化的健康和福祉、通过心理健康筛查工具提供的公共卫生、感染传播的早期警报,到改善环境和交通。这个本科生研究经验(REU)网站通过培训学生获得数据科学技能,帮助维持我们社区的创新经济。这个网站提供了访问数据科学研究的机会,否则是非常有限的。其目标是提高女性学生和在科学、技术、工程和数学(STEM)专业中代表性不足的群体(如非洲裔美国人)的保留率。众所周知,本科研究项目可以提高学生在课堂上无法接触到的人际交往、专业网络和研究技能,并鼓励学生找到自己的兴趣,认真考虑研究生学习。该REU网站是伍斯特理工学院数据科学项目自2016年以来成功运营的数据科学REU网站的延续。这个新网站为来自全国各地不同地理位置的30多名学生提供了参与充满活力的科学研究项目和本科生指导的机会。为REU参与者提供全面的支持,从密切的研究指导到专业发展。学生有机会与来自谷歌、MathWorks和MITRE公司等不同公司和组织的数据科学顾问委员会、校友和行业合作伙伴的专业人士建立联系,从而鼓励他们在职业生涯中追求数据科学。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Automated Construction of Lexicons to Improve Depression Screening With Text Messages
- DOI:10.1109/jbhi.2022.3203345
- 发表时间:2022-08
- 期刊:
- 影响因子:7.7
- 作者:M. L. Tlachac;Avantika Shrestha;M. Shah;Benjamin R. Litterer;Elke A. Rundensteiner
- 通讯作者:M. L. Tlachac;Avantika Shrestha;M. Shah;Benjamin R. Litterer;Elke A. Rundensteiner
Are Fair Learning To Rank Models Really Fair? An Analysis Using Inferred Gender
公平学习对模型进行排名真的公平吗?
- DOI:10.1109/urtc56832.2022.10002233
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Pietrick, Alexander;Romportl, Alyssa;Smith, Shailen;Olulana, Oluseun;Cachel, Kathleen;Rundensteiner, Elke
- 通讯作者:Rundensteiner, Elke
Verifying Adversarial Robustness of 3D Object Detectors for Autonomous Vehicles
- DOI:10.1109/urtc56832.2022.10002253
- 发表时间:2022-09
- 期刊:
- 影响因子:0
- 作者:Rebecca Dollahite;Kevin Wang;Kaidong Li;Yiqing Zhang;Ziming Zhang
- 通讯作者:Rebecca Dollahite;Kevin Wang;Kaidong Li;Yiqing Zhang;Ziming Zhang
A Prognostic Machine Learning Framework and Algorithm for Predicting Long-term Behavioral Outcomes in Cancer Survivors
用于预测癌症幸存者长期行为结果的预后机器学习框架和算法
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Markus, A.
- 通讯作者:Markus, A.
Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks
- DOI:10.1109/bigdata55660.2022.10020224
- 发表时间:2022-12
- 期刊:
- 影响因子:0
- 作者:M. L. Tlachac;Walter Gerych;Kratika Agrawal;Benjamin R. Litterer;Nicholas Jurovich;Saitheeraj Thatigotla-Saitheeraj-That
- 通讯作者:M. L. Tlachac;Walter Gerych;Kratika Agrawal;Benjamin R. Litterer;Nicholas Jurovich;Saitheeraj Thatigotla-Saitheeraj-That
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Elke Rundensteiner其他文献
Explaining deep multi-class time series classifiers
- DOI:
10.1007/s10115-024-02073-y - 发表时间:
2024-03-04 - 期刊:
- 影响因子:3.100
- 作者:
Ramesh Doddaiah;Prathyush S. Parvatharaju;Elke Rundensteiner;Thomas Hartvigsen - 通讯作者:
Thomas Hartvigsen
Elke Rundensteiner的其他文献
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{{ truncateString('Elke Rundensteiner', 18)}}的其他基金
REU Site: Applied Artificial Intelligence for Advanced Applications
REU 网站:高级应用的应用人工智能
- 批准号:
2349370 - 财政年份:2024
- 资助金额:
$ 36.67万 - 项目类别:
Standard Grant
Collaborative Research: ELEMENTS: Tuning-free Anomaly Detection Service
合作研究:Elements:免调优异常检测服务
- 批准号:
2103832 - 财政年份:2021
- 资助金额:
$ 36.67万 - 项目类别:
Standard Grant
NRT-HDR: Data-Driven Sustainable Engineering for a Circular Economy
NRT-HDR:数据驱动的循环经济可持续工程
- 批准号:
2021871 - 财政年份:2020
- 资助金额:
$ 36.67万 - 项目类别:
Standard Grant
III: Small: Fair Decision Making by Consensus: Interactive Bias Mitigation Technology
III:小:共识公平决策:交互式偏差缓解技术
- 批准号:
2007932 - 财政年份:2020
- 资助金额:
$ 36.67万 - 项目类别:
Standard Grant
III:Small: Outlier Discovery Paradigm
III:小:异常值发现范式
- 批准号:
1910880 - 财政年份:2019
- 资助金额:
$ 36.67万 - 项目类别:
Standard Grant
III: Small: Scalable Event Trend Analytics For Data Stream Inquiry
III:小型:用于数据流查询的可扩展事件趋势分析
- 批准号:
1815866 - 财政年份:2018
- 资助金额:
$ 36.67万 - 项目类别:
Standard Grant
REU SITE: Data Science Research for Safe, Sustainable and Healthy Communities
REU 站点:安全、可持续和健康社区的数据科学研究
- 批准号:
1560229 - 财政年份:2016
- 资助金额:
$ 36.67万 - 项目类别:
Standard Grant
Student Travel Support for U.S. Graduate Students to Participate in EDBT/ICDT 2012
为美国研究生参加 EDBT/ICDT 2012 提供学生旅行支持
- 批准号:
1144371 - 财政年份:2012
- 资助金额:
$ 36.67万 - 项目类别:
Standard Grant
CGV: Small: Model-Driven Visual Analytics on Streams
CGV:小型:模型驱动的流可视化分析
- 批准号:
1117139 - 财政年份:2011
- 资助金额:
$ 36.67万 - 项目类别:
Continuing Grant
III: Small: Complex Event Analytics
III:小:复杂事件分析
- 批准号:
1018443 - 财政年份:2010
- 资助金额:
$ 36.67万 - 项目类别:
Standard Grant
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REU 网站:增强本科生在数据和移动云安全方面的经验
- 批准号:
2349233 - 财政年份:2024
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REU 网站:数据科学的计算数学
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2349534 - 财政年份:2024
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