REU Site: Computing for Health and Well-being

REU 网站:计算促进健康和福祉

基本信息

  • 批准号:
    2050526
  • 负责人:
  • 金额:
    $ 40.45万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-03-01 至 2024-02-29
  • 项目状态:
    已结题

项目摘要

This Research Experiences for Undergraduates (REU) site on “Computing for Health and Well-being” is hosted by the Department of Computer Science at the University of Iowa. The site is motivated by the considerable strain on the U.S. healthcare system due to both short-term challenges, such as those posed by the COVID19 outbreak, and long-term trends, such as an aging US population. To tackle these and other health and well-being problems, we must train the next generation of computer scientists to work alongside health professionals as part of interdisciplinary, problem-focused teams. Toward this goal, this project has designed a ten-week program that will inspire students to pursue careers in computer science and related fields through early exposure to high-quality and hands-on research experiences as part of diverse, engaging, and cutting-edge research projects. The primary goal is to provide research experiences to students from institutions that do not have the research infrastructure or interdisciplinary research opportunities available. This project aims to attract students from underrepresented groups (female and minorities) with an emphasis on first-generation students. Our efforts will contribute to preparing a workforce of young scientists who will help maintain America's competitive advantage in science and technology.The REU participants will (1) learn about interdisciplinary research, (2) apply computational thinking to real-world problems, (3) become familiar with the culture and research methods of different disciplines, and (4) participate in workshops on research methods, scientific communication, and career development, and (5) create their first professional network and build self-confidence in their abilities. Each student will be placed into their mentor’s research group to work on cutting-edge interdisciplinary problems such as disease modeling, personalizing hearing aids, or engaging neurodiverse children through gameplay. Exposure to diverse research projects under the umbrella of computing for health and well-being will further participants’ understanding of their specific project and broaden their appreciation of different research methods. Students will learn through reinforcing interactions with other REU participants, graduate students, domain experts, and mentors. The experiences of tackling socially relevant problems and participating in professional development will provide REU participants with an intellectually challenging and engaging experience, preparing them for their future computer science careers. Working alongside graduate students will provide the participants with insights into graduate student life and encourage participants to consider graduate school. The mentoring received by early-career faculty and graduate students will also significantly impact their future careers, helping to train the next generation of researchers to tackle computational challenges in health and well-being.This project is jointly funded by Computer and Information Science and Engineering’s Information and Intelligent Systems division and the Established Program to Stimulate Competitive Research (EPSCoR).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.
这个关于“健康和福祉计算”的本科生研究经验(REU)网站是由爱荷华大学计算机科学系主办的。该网站的动机是,由于短期挑战(如covid - 19疫情带来的挑战)和长期趋势(如美国人口老龄化),美国医疗保健系统面临相当大的压力。为了解决这些以及其他健康和福祉问题,我们必须培养下一代计算机科学家,使他们与卫生专业人员一起工作,成为跨学科、以问题为中心的团队的一部分。为了实现这一目标,该项目设计了一个为期十周的项目,通过早期接触高质量和实践的研究经验,作为多样化、引人入胜和前沿的研究项目的一部分,将激励学生在计算机科学和相关领域从事职业。主要目标是为来自没有研究基础设施或跨学科研究机会的机构的学生提供研究经验。该项目旨在吸引代表性不足的群体(女性和少数民族)的学生,重点是第一代学生。我们的努力将有助于培养一支年轻的科学家队伍,他们将有助于保持美国在科学和技术方面的竞争优势。REU的参与者将(1)学习跨学科研究,(2)将计算思维应用于现实问题,(3)熟悉不同学科的文化和研究方法,(4)参加研究方法,科学交流和职业发展的研讨会,(5)建立他们的第一个专业网络并建立自信他们的能力。每个学生都将被安排到导师的研究小组中,研究前沿的跨学科问题,如疾病建模、个性化助听器或通过游戏吸引神经多样性的儿童。在健康和福祉计算的保护伞下,接触各种研究项目将进一步加深参与者对其具体项目的理解,并扩大他们对不同研究方法的欣赏。学生将通过加强与其他REU参与者、研究生、领域专家和导师的互动来学习。解决社会相关问题和参与专业发展的经验将为REU的参与者提供一个智力挑战和引人入胜的经验,为他们未来的计算机科学职业生涯做好准备。与研究生一起工作将为参与者提供对研究生生活的见解,并鼓励参与者考虑读研。早期职业教师和研究生接受的指导也将对他们未来的职业生涯产生重大影响,有助于培养下一代研究人员解决健康和福祉方面的计算挑战。该项目由计算机和信息科学与工程信息和智能系统部门以及刺激竞争研究的既定计划(EPSCoR)共同资助。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(0)
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Elizabeth Kleiman其他文献

Ieee Transactions on Information Theory Large Deviation Bounds for Functionals of Viterbi Paths
IEEE Transactions on Information Theory 维特比路径泛函的大偏差界
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Arka P. Ghosh;Elizabeth Kleiman;A. Roitershtein
  • 通讯作者:
    A. Roitershtein

Elizabeth Kleiman的其他文献

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{{ truncateString('Elizabeth Kleiman', 18)}}的其他基金

REU Site: Computing for Health and Well-being
REU 网站:计算促进健康和福祉
  • 批准号:
    2349121
  • 财政年份:
    2024
  • 资助金额:
    $ 40.45万
  • 项目类别:
    Standard Grant

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    2013
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    20.0 万元
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    专项基金项目

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