Emerging Technologies & Data Analytics Core
新兴技术
基本信息
- 批准号:10268738
- 负责人:
- 金额:$ 26.38万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:AddressAlgorithmsAreaAuthorization documentationBehavior TherapyBehavioralBehavioral SciencesCharacteristicsCollaborationsCommunitiesComputer softwareConsultDataData AnalyticsData SetDevelopmentDisciplineDissemination and ImplementationDoctor of PhilosophyEducational workshopEmerging TechnologiesEthicsEvaluationFacultyFoundationsGoalsGrantGuidelinesHomeIndividualInternationalInterventionLeadLearningLibrariesLicensingMeasuresMental HealthMentorsMethodsPaperPhenotypePhysiologicalPilot ProjectsPostdoctoral FellowProcessPublishingResearchResearch PersonnelResearch SupportResource SharingResourcesScientistSeriesStudentsSubstance Use DisorderTechnologyTimeUnderrepresented PopulationsVisualizationadaptive interventionanalytical methodbasebehavioral healthcontextual factorscostdata sharingdesigndigitaldigital treatmenteffective interventionfaculty communityimplementation scienceindustry partnerinnovationinterdisciplinary collaborationmultimodal datanew technologynovelnovel strategiespersonalized interventionphysical conditioningranpirnasesensorsensor technologystudent trainingsubstance use treatmentterabytetherapy developmentuser centered design
项目摘要
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
行为健康的科学,以及行为健康有效干预措施的发展,
越来越多地得到一系列技术的支持-从测量生理状况的传感器到
上下文因素,到推断(和预测)个人对干预的接受度的算法
从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,转向统计上理解多模式数据集的分析方法,以
从筛选数TB传感器数据的可视化,到以用户为中心的设计流程,从而实现
可接受和可用的接口。附属于CTBH新兴技术和数据的教职员工
分析核心(ETDA Core)是在上一次P30续订期间推出的,它拥有解决所有
这些组件是这些基础技术中的组成部分。
在P30中心续签申请中,ETDA核心将增加教育和研究机会
侧重于将新兴技术和数据分析应用于开发和评估
数字治疗学。核心将继续我们目前的活动,包括扩大ETDA核心
社区,促进相互学习,协助系列研讨会,支持共享资源
在当前P30期间开发,提供专家咨询,并与试点核心合作,以
赞助试点RFA,鼓励和支持ETDA-Core附属公司与CTBH之间的合作
行为科学家。而且,核心将推出新的活动,包括主持一系列教程,为
几个研究交叉核心研讨会,赞助实习生午餐系列,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,
支持针对个性化干预的研究,支持跨诊断机制研究
和干预措施,支持与数字道德有关的活动,并扩大努力,增加对
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共享资源,以增强
数字疗法的发展速度和由此产生的效力。为此目的,核心将维持和
扩大其共享硬件池,维护和扩大其专门软件的组许可证集,
维护和完善其自主开发的软件库,为有效的用户制定指南和最佳实践-
以行为干预为中心的设计,寻求获得和共享数据集的许可,并进一步
发展其员工在创造和管理技术方面的专业知识,这是运营稳健的基础
和可扩展的行为健康研究。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Lisa A. Marsch其他文献
Barreras de acceso, autoreconocimiento y reconocimiento en depresión y trastornos del consumo del alcohol: un estudio cualitativo
- DOI:
10.1016/j.rcp.2020.11.021 - 发表时间:
2021-06-01 - 期刊:
- 影响因子:
- 作者:
Carlos Gómez-Restrepo;Paula Cárdenas;Arturo Marroquín-Rivera;Magda Cepeda;Fernando Suárez-Obando;José Miguel Uribe-Restrepo;Sergio Castro;Leonardo Cubillos;William C. Torrey;Sophia M. Bartels;Catherine Van Arcken-Martínez;Sena Park;Deepak John;Lisa A. Marsch - 通讯作者:
Lisa A. Marsch
Is telemedicine the answer to rural expansion of medication treatment for opioid use disorder? Early experiences in the feasibility study phase of a National Drug Abuse Treatment Clinical Trials Network Trial
- DOI:
10.1186/s13722-021-00233-x - 发表时间:
2021-04-20 - 期刊:
- 影响因子:3.200
- 作者:
Yih-Ing Hser;Allison J. Ober;Alex R. Dopp;Chunqing Lin;Katie P. Osterhage;Sarah E. Clingan;Larissa J. Mooney;Megan E. Curtis;Lisa A. Marsch;Bethany McLeman;Emily Hichborn;Laurie S. Lester;Laura-Mae Baldwin;Yanping Liu;Petra Jacobs;Andrew J. Saxon - 通讯作者:
Andrew J. Saxon
Relación entre las características sociodemográficas de los participantes del proyecto DIADA y la tasa de cumplimiento al seguimiento en la fase inicial de la intervención
- DOI:
10.1016/j.rcp.2020.11.019 - 发表时间:
2021-06-01 - 期刊:
- 影响因子:
- 作者:
María Paula Cárdenas Charry;Maria Paula Jassir Acosta;José Miguel Uribe Restrepo;Magda Cepeda;Pablo Martínez Camblor;Leonardo Cubillos;Sophia M. Bartels;Sergio Castro;Lisa A. Marsch;Carlos Gómez-Restrepo - 通讯作者:
Carlos Gómez-Restrepo
Comparative efficacy of a computer-based HIV testing video intervention in sites of varying HIV prevalence
- DOI:
10.1016/j.drugalcdep.2014.09.040 - 发表时间:
2015-01-01 - 期刊:
- 影响因子:
- 作者:
Ian D. Aronson;Sonali Rajan;Lisa A. Marsch;Juline Koken;Theodore Bania - 通讯作者:
Theodore Bania
Caracterización de los usuarios de las redes sociales dentro del sistema de atención primaria en Colombia y predictores de su uso de las redes sociales para comprender su salud
- DOI:
10.1016/j.rcp.2020.12.010 - 发表时间:
2021-06-01 - 期刊:
- 影响因子:
- 作者:
Sophia M. Bartels;Pablo Martinez-Camblor;John A. Naslund;Fernando Suárez-Obando;William C. Torrey;Leonardo Cubillos;Makeda J. Williams;Sergio M. Castro;José M. Uribe-Restrepo;Carlos Gómez-Restrepo;Lisa A. Marsch - 通讯作者:
Lisa A. Marsch
Lisa A. Marsch的其他文献
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{{ truncateString('Lisa A. Marsch', 18)}}的其他基金
Technology-based Treatments for Substance Use Disorders
基于技术的药物使用障碍治疗
- 批准号:
10268734 - 财政年份:2021
- 资助金额:
$ 26.38万 - 项目类别:
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