Collaborative Research: SCH: Smart Health & Biomedical Res in the Era of AI and Adv Data Sci PIs Meeting 2022: Smart Health through the Life Course

合作研究:SCH:智能健康

基本信息

  • 批准号:
    2232232
  • 负责人:
  • 金额:
    $ 2.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-01 至 2023-08-31
  • 项目状态:
    已结题

项目摘要

This project supports the Smart Health through the Life Cycle: SCH Principal Investigators Virtual Workshop on October 6-7, 2022. The meeting will bring together principal investigators of projects awarded by the Smart Health (SCH) program with other researchers looking at smart health in the broader community. The SCH program was set up to bridge gaps in fundamental science necessary to transform health and biomedical research. Smart Health through the Life Cycle Workshop is designed to address the next generation of challenges in advancing health with foundational research from the computer science, engineering, mathematics and the social, behavioral and economic disciplines. An objective of the workshop is to provide an opportunity for the principal investigators and other smart health researchers to explore research progress in a diverse set of projects and discuss important current issues, as well as future challenges associated with research in transdisciplinary scientific areas. The discussions will be supported by keynotes, panels, project-related posters, rapid talks and cross-discipline participant-generated workshops. It is anticipated that the meeting will stimulate discussions, connections, and collaborations that will facilitate progress in the area of Smart Health. The workshop should have a significant impact on the participants and the future of the Smart Health program. The focus of the workshop is on foundational research that supports the growth of smart health within connected communities. The workshop results are likely to include new research directions that will be publicized to the research community through publications and a workshop website. The results dissemination should inform and the developing Smart Health research community in their transdisciplinary collaboration, educational activities, and spur other innovative research directions. The broader impacts of the workshop are to facilitate progress in the field and stimulate conversations, connections, and collaborations that will lead toward better informed and effective smart and connected health research and resulting technologies for the broadest possible user populations. In order to address current concerns in Smart Health research the meeting will include a cross-discipline mini-workshops addressing current themes, such as advancing data science, bridging new frontier in sensing hardware, data infrastructure and the sue of technology to address health disparities. Additionally, there will be a workshop attached to the Principal Investigator meeting that will support the travel for ten students to attend the PI Workshop. This should also help grow the field by providing mentorship and support for a new cadre of investigators looking to do work in the Smart Health area.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.
该项目将于2022年10月6日至7日举行的智能健康生命周期:SCH首席研究员虚拟研讨会。会议将汇集智能健康(SCH)计划授予项目的主要研究人员和其他研究人员在更广泛的社区中研究智能健康。SCH计划的设立是为了弥补基础科学方面的差距,而基础科学是改变健康和生物医学研究所必需的。生命周期智能健康研讨会旨在通过计算机科学、工程、数学以及社会、行为和经济学科的基础研究,解决促进健康方面的下一代挑战。研讨会的目的是为主要研究人员和其他智能健康研究人员提供一个机会,以探索各种项目的研究进展,并讨论与跨学科科学领域的研究相关的重要当前问题以及未来挑战。讨论将由主题演讲、小组讨论、项目相关海报、快速会谈和跨学科的参与者研讨会支持。预计会议将促进讨论、联系和合作,从而促进智能卫生领域的进展。研讨会将对参与者和智能健康计划的未来产生重大影响。研讨会的重点是支持互联社区中智能健康发展的基础研究。讲习班的成果很可能包括新的研究方向,并将通过出版物和讲习班网站向研究界公布。研究结果的传播应该为智能健康研究社区的跨学科合作、教育活动和其他创新研究方向提供信息和发展。讲习班的更广泛影响是促进该领域的进展,促进对话、联系和合作,从而为尽可能广泛的用户群体带来更明智、更有效的智能和互联卫生研究和由此产生的技术。为了解决智能健康研究中的当前问题,会议将包括一个跨学科小型讲习班,讨论当前的主题,如推进数据科学、弥合传感硬件的新前沿、数据基础设施和解决健康差距的技术问题。此外,首席研究员会议还将附带一个研讨会,该研讨会将为10名学生参加PI研讨会提供旅费。通过为希望在智能健康领域开展工作的新调查骨干提供指导和支持,这也应该有助于该领域的发展。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

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Tanvi Banerjee其他文献

Caregiver Assessment Using Smart Gaming Technology: A Feasibility Study
使用智能游戏技术的护理人员评估:可行性研究
Comparison of gait speeds from wearable camera and accelerometer in structured and semi-structured environments
结构化和半结构化环境中可穿戴相机和加速度计的步态速度比较
  • DOI:
    10.1049/htl.2019.0015
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    2.1
  • 作者:
    Bradley Schneider;Tanvi Banerjee;Francis M. Grover;M. Riley
  • 通讯作者:
    M. Riley
Detecting foreground disambiguation of depth images using fuzzy logic
使用模糊逻辑检测深度图像的前景消歧
What Motivates High School Students to Take Precautions against the Spread of Influenza? A Data Science Approach to Latent Modeling of Compliance with Preventative Practice
是什么促使高中生采取预防流感传播的措施?
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    W. Romine;Tanvi Banerjee;W. Folk;L. Barrow
  • 通讯作者:
    L. Barrow
Testing an in-home gait assessment tool for older adults
测试老年人的家用步态评估工具

Tanvi Banerjee的其他文献

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