Emerging Technologies & Data Analytics Core

新兴技术

• 批准号: 10268738
• 负责人: Lisa A. Marsch
• 金额: $ 26.38万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-15 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10268738
• 关键词: Address; Algorithms; Area; Authorization documentation; Behavior Therapy; Behavioral; Behavioral Sciences; Characteristics; Collaborations; Communities; Computer software; Consult; Data; Data Analytics; Data Set; Development; Discipline; Dissemination and Implementation; Doctor of Philosophy; Educational workshop; Emerging Technologies; Ethics; Evaluation; Faculty; Foundations; Goals; Grant; Guidelines; Home; Individual; International; Intervention; Lead; Learning; Libraries; Licensing; Measures; Mental Health; Mentors; Methods; Paper; Phenotype; Physiological; Pilot Projects; Postdoctoral Fellow; Process; Publishing; Research; Research Personnel; Research Support; Resource Sharing; Resources; Scientist; Series; Students; Substance Use Disorder; Technology; Time; Underrepresented Populations; Visualization; adaptive intervention; analytical method; base; behavioral health; contextual factors; cost; data sharing; design; digital; digital treatment; effective intervention; faculty community; implementation science; industry partner; innovation; interdisciplinary collaboration; multimodal data; new technology; novel; novel strategies; personalized intervention; physical conditioning; ranpirnase; sensor; sensor technology; student training; substance use treatment; terabyte; therapy development; user centered design

EMERGING TECHNOLOGY AND DATA ANALYTICS PROJECT SUMMARY The science of behavioral health, and the development of effective interventions in behavioral health, are increasingly supported by a range of technologies – from sensors that measure physiological conditions and contextual factors, to algorithms that infer (and predict) an individual’s receptivity to an intervention in the moment, to analytics that infer behavioral characteristics or individual phenotypes, to real-time classifiers that drive just-in-time adaptive interventions, to analytic methods to statistically understand multimodal datasets, to visualizations that sift through terabytes of sensor data, to user-centric design processes that lead to novel interfaces that are acceptable and usable. Faculty affiliated with the CTBH Emerging Technologies and Data Analytics Core (ETDA Core), which launched in the last P30 renewal period, have the expertise to address all these components in this spectrum of foundational technologies. In this P30 Center renewal application, the ETDA Core will enhance educational and research opportunities focused on the application of emerging technologies and data analytics to the development and evaluation of digital therapeutics. The Core will continue our current activities, including expanding the ETDA Core community, promoting reciprocal learning, assisting with the seminar series, supporting the shared resources developed during the current P30 period, providing expert consulting, and engaging with the Pilot Core to sponsor Pilot RFAs that encourage and enable collaborations between ETDA-Core affiliates and CTBH behavioral scientists. And, the Core will launch new activities, including hosting a tutorial series, contributing to several research cross-Core workshops, sponsoring a trainee lunch series, expanding its expert consulting, expanding industry partnerships, expanding international collaborations, addressing challenges of scale, supporting research aimed at personalized interventions, supporting research on transdiagnostic mechanisms and interventions, supporting activities related to digital ethics, and expanding efforts to increase inclusion of underrepresented populations. The ETDA Core will also support shared resources among our interdisciplinary Center team to enhance the pace of development, and resulting potency, of digital therapeutics. To this end, the Core will maintain and expand its pool of shared hardware, maintain and expand its set of group licenses for specialized software, maintain and refine its home-grown software libraries, develop guidelines and best practices for effective user- centered design of behavioral interventions, seek permission to obtain and share data sets, and further develop its staff’s expertise in the creation and management of technology fundamental to operating robust and scalable behavioral-health studies.

新兴技术和数据分析项目摘要 行为健康科学以及行为健康有效干预措施的发展是 越来越多的技术支持——从测量生理状况的传感器到 情境因素，推断（并预测）个人对干预的接受程度的算法 时刻，到推断行为特征或个体表型的分析，到实时分类器 推动及时的适应性干预，以统计方式理解多模式数据集的分析方法， 可视化筛选数 TB 的传感器数据，以用户为中心的设计流程，从而产生新颖的设计 可接受且可用的接口。 CTBH 新兴技术和数据学院附属教师 Analytics Core (ETDA Core) 在上一个 P30 更新期间推出，拥有解决所有问题的专业知识 这些基础技术的组成部分。 在本次 P30 中心更新申请中，ETDA 核心将增加教育和研究机会 专注于新兴技术和数据分析在开发和评估中的应用 数字疗法。核心将继续我们当前的活动，包括扩展 ETDA 核心 社区、促进互惠学习、协助研讨会系列、支持共享资源 在当前 P30 期间开发的，提供专家咨询，并与试点核心合作，以 赞助试点 RFA，鼓励并促进 ETDA-Core 附属机构与 CTBH 之间的合作 行为科学家。并且，核心将推出新的活动，包括举办教程系列，为 多个研究跨核心研讨会，赞助培训生午餐系列，扩大其专家咨询， 扩大行业伙伴关系，扩大国际合作，应对规模挑战， 支持旨在个性化干预的研究，支持跨诊断机制的研究 和干预措施，支持与数字道德相关的活动，并加大努力以提高包容性 代表性不足的人群。 ETDA 核心还将支持我们的跨学科中心团队之间共享资源，以增强 数字疗法的发展速度以及由此产生的效力。为此，核心将维持并 扩大其共享硬件池，维护和扩大其专用软件的团体许可证集， 维护和完善其本土软件库，制定有效的用户指南和最佳实践 以行为干预为中心的设计，寻求获取和共享数据集的许可，并进一步 培养员工在技术创建和管理方面的专业知识，这是稳健运营的基础 和可扩展的行为健康研究。