课题基金 / 基金详情

SOCGEN: Combining Social Science and Molecular Genetic Research to Examine Inequality and the Life Course

SOCGEN: Combining Social Science and Molecular Genetic Research to Examine Inequality and the Life Course
SOCGEN:结合社会科学和分子遗传学研究来审视不平等和生命历程
批准号:
ES/N011856/1
负责人:
Melinda Mills
金额:
$74.66万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --

项目摘要

项目成果

Melinda Mills的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Although there has been an explosion in the amount of the data in the UK that contains information that has both social science indicators (e.g., education, social status) and molecular genetic data (data with genetic markers), it has yet to be exploited by social scientists. Knowledge from social scientists about how to properly use this data to answer social science research questions and statistical tools to accommodate social science problems remains underdeveloped. Yet this new data will allow social scientists to examine fundamentally new research questions and has the potential for substantive breakthroughs. For the first time in history social scientists can uncover whether there is a genetic and biological component to many of the behaviours that have until now only largely been attributed to social factors. Increasing studies demonstrate that there is a genetic component to core social science topics such as educational level and wellbeing. There are, however, many pitfalls to conducting this type of research including lack of accessible learning and teaching material aimed at social scientists and appropriate statistical models or robustness checks of existing models. A primary objective of this project is to bring together substantive social science researchers in the field of inequality and the life course with expertise in statistics, biodemography, and quantitative molecular genetics to develop innovative learning resources, statistical models and packages to address the specific shortcomings in this substantive area of research. Developing accessible teaching resources and tailored statistical models and packages will allow UK social scientists to become trendsetting pioneers in answering new biosocial research questions. This will allow us to convey how insights from molecular genetic data and research can be integrated into life course (and social science) research.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
Causal Effects of the Timing of Life-course Events: Age at Retirement and Subsequent Health
生命历程事件发生时间的因果影响:退休年龄和随后的健康状况
DOI: 10.1177/0049124117729697
发表时间: 2017
期刊: Sociological Methods & Research
影响因子: 6.3
作者: [Barban N]
通讯作者: Barban N
DOI: 10.1038/s41598-021-89020-x
发表时间: 2021-05-04
期刊: Scientific reports
影响因子: 4.6
作者: [Akimova ET, Breen R, Brazel DM, Mills MC]
通讯作者: Mills MC
DOI: 10.1093/humrep/dex102
发表时间: 2017-07-01
期刊: Human reproduction (Oxford, England)
影响因子: --
作者: [Barbuscia A, Mills MC]
通讯作者: Mills MC
Analytical Family Demography
家庭人口统计分析
DOI: --
发表时间: 2018
期刊:
影响因子: --
作者: [Barban N]
通讯作者: Barban N
European Social Science Genetics Network
  • 批准号:
    EP/X027694/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $33.8万
  • 财政年份:
    2023
  • 负责人:
    Melinda Mills
  • 依托单位:
1996 Presidential Awardees
  • 批准号:
    9708795
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.75万
  • 财政年份:
    1997
  • 负责人:
    Melinda Mills
  • 依托单位:
海外基金