Stanford Aging & Ethnogeriatrics Transdisciplinary Collaborative Center (SAGE)

斯坦福老龄化

• 批准号: 10443168
• 负责人: Victor Henderson
• 金额: $ 14.11万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-30 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10443168
• 关键词: Aging; American; Behavioral; Behavioral Sciences; Big Data; Biological Sciences; Biology; Businesses; Caring; Centers for Population Health; Collaborations; Country; Data Science; Demography; Economics; Elderly; Elements; Emerging Technologies; Engineering; Environmental Risk Factor; Epidemiology; Ethnic group; Faculty; Funding; Future; Genetic Markers; Goals; Health; Health Sciences; Health Services Accessibility; Health Services Research; Health Technology; Healthcare; Income; Infrastructure; Intervention; Knowledge; Laboratories; Lead; Measurement; Measures; Mentors; Methodology; Minority; Older Population; Patient Care; Performance; Personal Satisfaction; Pilot Projects; Play; Population; Postdoctoral Fellow; Precision Health; Psychiatry; Psychology; Research; Research Methodology; Research Personnel; Research Training; Resources; Role; Schools; Science; Scientist; Sister; Social Sciences; Statistical Methods; Training; Translational Research; Underrepresented Populations; United States National Institutes of Health; base; behavioral/social science; big biomedical data; big-data science; biomedical data science; biopsychosocial; computer science; cultural competence; design; digital health; disorder risk; education research; ethnic minority population; experience; health disparity; medical schools; novel; precision medicine; programs; psychosocial; racial and ethnic; racial health disparity; racial minority; ranpirnase; recruit; research to practice; social; social media; socioeconomics; virtual reality intervention; virtual reality simulation

PROJECT SUMMARY—OVERALL COMPONENT: The NIH has long recognized the necessity to aggressively leverage emerging methodologies like precision medicine, digital health, biomedical data science and virtual reality & simulation based interventions approaches to ameliorate health disparities in racial and ethnic minorities. However, relatively fewer efforts have attempted to conduct trans- disciplinary aging research integrating biological, social and behavioral sciences utilizing emerging methodologies. The overarching goal of the proposed Stanford Aging and Ethnogeriatrics Transdisciplinary Collaborative Center (SAGE) is to increase the diversity of the aging research workforce by mentoring new leaders in aging research and promoting advances in behavioral and social sciences aging research using emerging methodologies including precision medicine, digital health, biomedical big data science and virtual reality and simulation based interventions. By identifying, mentoring and supporting (through dedicated pilot funds and methodological and recruitment support) junior investigators from underrepresented groups (SAGE Scientists) we propose to create a culturally sensitive and culturally competent research workforce focused on promoting equity in healthcare and mitigating disparities in diverse older populations using emerging methodologies. We have in place outstanding strengths in the three principal scientific elements requisite to form a coordinated, sustainable, and far-reaching `aging research to practice collaboration' integrating behavioral, social and biological sciences using emerging methodologies: 1) Behavioral and social scientists and disparities researchers, spanning psychology, psychiatry, demography, epidemiology, evolutionary biology, health services research & economics, computer science, social media science, virtual reality/simulation interventions and digital health; 2). Extensive experience with trans-disciplinary translational research that integrates laboratory assessment of genetic markers, their relationships to both disease risk and treatment relevance with psychosocial research approaches; and 3) Novel and outstanding analytic and high-performance `big-data' computing capabilities, consolidated in our Department of Biomedical (`Big Data') Data Science. With Stanford's setting in one of the most racially, ethnically and socially diverse aging populations in the US, and leveraging the seven-school campus-wide “Precision Health” initiative that integrates biomedical data science, engineering, business, design, digital health technology, virtual reality interventions and patient care under the recently endowed Center for Population Health Sciences we feel uniquely situated to make game-changing breakthroughs in aging research using emerging methodologies, and to lead such research efforts nationally.

项目摘要 - 所有组件： 长期以来，NIH认识到有必要积极利用Precision Medicine，例如Precision Medicine， 数字健康，生物医学数据科学以及虚拟现实和基于模拟的干预方法改善 种族和少数民族的健康分配。但是，相对较少的努力试图进行跨 利用新兴方法的生物学，社会和行为科学整合的纪律衰老研究。 拟议的斯坦福大学衰老和民族病态跨学科合作中心（SAGE）的总体目标是 通过使新的研究领导者为老龄化研究和促进，增加老化研究劳动力的多样性 使用新兴方法在内的行为和社会科学在衰老研究方面的进步 数字健康，生物医学大数据科学和虚拟现实以及基于模拟的干预措施。通过识别， 心理和支持（通过专门的试点资金以及方法论和招聘支持）初级调查人员 来自代表性不足的群体（Sage科学家），我们建议创建一个具有文化敏感和文化胜任的人 研究人员的重点是促进医疗保健方面的公平性，并使用 新兴方法。我们在三个主要科学要素中都具有出色的优势 形成协调，可持续和深远的“老化研究，以实践合作”，整合行为，社会 以及使用新兴方法的生物学科学：1）行为和社会科学家和差异研究人员， 跨越心理学，精神病学，人口统计学，流行病学，进化生物学，卫生服务研究和 经济学，计算机科学，社交媒体科学，虚拟现实/仿真干预和数字健康； 2）。 跨学科翻译研究的丰富经验，该研究整合了实验室评估通用评估 标记，与疾病风险和治疗识别的关系与心理社会研究方法的关系； 3） 新颖，出色的分析和高性能的“大数据”计算能力，在我们的部门合并 生物医学（“大数据”）数据科学。斯坦福（Stanford 美国的潜水员老龄化人口在美国，并利用七所校园范围的“精确健康”计划 综合生物医学数据科学，工程，商业，设计，数字卫生技术，虚拟现实干预措施 以及在最近的ended人口健康科学中心下的患者护理，我们感到很独特 使用新兴方法进行衰老研究中的改变游戏的突破，并领导此类研究工作 全国。