Emerging Technologies & Data Analytics Core

新兴技术

• 批准号: 10469415
• 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/10469415
• 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总结