Research Networks in Biodemography and Demography of Aging

生物人口学和老龄人口学研究网络

• 批准号: 8721298
• 负责人: SHRIPAD D. TULJAPURKAR
• 金额: $ 23.41万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-30 至 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8721298
• 关键词: Address; Aging; Area; Behavioral; Behavioral Genetics; Biological; Catalysis; Collaborations; Data; Demography; Discipline; Economics; Educational process of instructing; Educational workshop; Epidemiologic Methods; Fertilization; Genetic; Genetic Models; Genetic Variation; Genomics; Group Meetings; Health; Health Policy; Heritability; Individual; Instruction; Knowledge; Link; Longitudinal Surveys; Measures; Methods; Modeling; Nonlinear Dynamics; Online Systems; Pathway Analysis; Population; Population Genetics; Quantitative Genetics; Research; Research Infrastructure; Research Personnel; Scientist; Social Network; Surveys; Techniques; Time; Training; Work; base; biodemography; cost; genetic epidemiology; genetic pedigree; innovation; interest; meetings; network models; novel; social; theories; tool; trait; working group

Research on aging and health requires knowledge, methods, ideas and data from multiple disciplines and presents great opportunities for cross-fertilization between disciplines. But there are many challenges to cross-fertilization - communicating questions across disciplines, cross-teaching researchers in aging about Other fields, and stimulating innovative collaborations between established scientists from different fields to work on aging. This project will address these challenges by developing research networks via the following specific aims: Specific Aim 1: Conduct training workshops in the formal demography and biodemography of aging to train young and new investigators in diverse analytical and quantitative approaches to aging. Specific Aim 2: Organize catalysis meetings to stimulate cross-disciplinary collaborative research on aging that deals with several broad questions - the interplay between genetics and behavioral and social factors, theories and data on social networks, and the integration into aging research of work on quantitative and population genetics and genomics, evolutionary and ecological genetics, epidemiology and health policy. Specific Aim 3: Organize advanced workshops/seminars to bring together small groups of researchers to focus intensively on particular questions and data in aging research, using a variety of tools including short working group meetings, web-based seminars and workshops, and other web-based collaborative tools. Training workshops teach young and new researchers about recent scientific work on aging and provide links to established investigators. Catalysis meetings, successful in other fields, provide a stimulating setting in which a small group explores and formulates new cross-disciplinary ideas. Advanced workshops are expected to emerge from catalysis meetings and go beyond them by allowing researchers with substantive interests in a problem to work through in detail ideas and plans for collaborative work. These activities will strengthen research on aging and launch collaborative research in several emerging areas as requested in the FOA on Network Infrastructure Support for Emercino Behavioral and Social Research Areas in Aoinc.

对衰老和健康的研究需要多个学科的知识，方法，思想和数据， 为学科之间提供了巨大的交叉利用机会。但是有很多挑战 交叉施肥 - 跨学科交流问题，跨教学研究人员在衰老中 其他领域，并刺激从不同领域的既定科学家之间的创新合作 衰老。 该项目将通过以下特定目的开发研究网络来应对这些挑战： 特定目的1：在正式人口统计学和衰老生物质学中进行培训讲习班以训练 衰老的各种分析和定量方法的年轻和新研究者。 特定目的2：组织催化会议以刺激跨学科的衰老研究 这涉及几个广泛的问题 - 遗传学与行为和社会因素之间的相互作用， 关于社交网络的理论和数据，以及对定量和定量工作的老化研究的整合 人群遗传学和基因组学，进化和生态遗传学，流行病学和卫生政策。 特定目的3：组织高级研讨会/研讨会，将小组研究人员汇集到 使用各种工具在内 工作组会议，基于Web的研讨会和研讨会以及其他基于Web的协作工具。 培训讲习班教年轻研究人员有关衰老的最新科学工作，并提供 链接到既定的调查人员。在其他领域成功的催化会议提供了令人兴奋的环境 其中一个小组探索并提出了新的跨学科思想。高级讲习班是 预计将从催化会议中脱颖而出，并通过允许具有实质性的研究人员来超越他们 对问题的兴趣详细解决协作工作的思想和计划。这些活动将 根据要求，加强对在几个新兴领域的衰老和启动协作研究的研究 网络基础设施的FOA支持AOINC的Emercino行为和社会研究领域。

项目成果

Mutations and the age pattern of death.

突变和死亡年龄模式。

• DOI: 10.1073/pnas.1307921110
• 发表时间: 2013
• 期刊: Proceedings of the National Academy of Sciences of the United States of America
• 影响因子: 11.1
• 作者: Tuljapurkar,Shripad

Machine learning approaches to the social determinants of health in the health and retirement study.

• DOI: 10.1016/j.ssmph.2017.11.008
• 发表时间: 2018-04
• 期刊: SSM - population health
• 作者: Seligman B;Tuljapurkar S;Rehkopf D
• 通讯作者: Rehkopf D

Influence of life-history tactics on transient dynamics: a comparative analysis across mammalian populations.

• DOI: 10.1086/677929
• 发表时间: 2014-11
• 期刊: The American naturalist
• 作者: Gamelon M;Gimenez O;Baubet E;Coulson T;Tuljapurkar S;Gaillard JM
• 通讯作者: Gaillard JM

The Geographic Distribution of Genetic Risk as Compared to Social Risk for Chronic Diseases in the United States.

美国慢性病遗传风险与社会风险的地理分布比较。

• DOI: 10.1080/19485565.2016.1141353
• 发表时间: 2016
• 期刊: Biodemography and social biology
• 影响因子: 1.3
• 作者: Rehkopf,DavidH;Domingue,BenjaminW;Cullen,MarkR
• 通讯作者: Cullen,MarkR

Des différences, pourquoi? Transmission, maintenance and effects of phenotypic variance.

Des différences，pourquoi？

• DOI: 10.1111/1365-2656.12477
• 发表时间: 2016
• 期刊: The Journal of animal ecology
• 作者: Plard,Floriane;Gaillard,Jean-Michel;Coulson,Tim;Tuljapurkar,Shripad
• 通讯作者: Tuljapurkar,Shripad