Mental health data science in rich longitudinal population cohorts

Twitter、Facebook和Instagram等在线社交网站改变了我们的生活方式。最近几代人，人类行为的所有方面，无论是好的还是坏的，现在都反映在线上和线下世界中。这意味着，这些网络是关于我们精神状态的大量信息的家园，研究人员已经开始利用这些信息来提高我们对心理健康和幸福的原因和后果的理解。然而，尽管有大量的数据可用，但只有当我们能够将其与我们对线下世界中特定人生活的了解联系起来时，它对医学的真正价值才能实现。只有这样，我们才能验证我们对心理健康的在线测量，并了解社交媒体革命对人类意味着什么的影响。研究章节将包括：1)社交媒体使用的流行病学2)验证现有的社交媒体心理健康预测指标，并在流行病学样本中使用黄金标准基本事实测量方法开发新的预测指标3)高分辨率时间序列分析遗传和环境随着时间的推移对心理健康的影响以及对事件的响应4)社交媒体使用对心理健康影响的因果分析

Online social networking sites such as Twitter, Facebook and Instagram have changed the way we live our lives. For recent generations, all aspects of human behaviour, both good and bad, are now reflected in the online as well as the offline worlds. This means that these networks are home to a vast wealth of information about our mental states, which researchers have begun to tap into to improve our understanding of the causes and consequences of mental health and wellbeing. However, although a huge amount of data is available, its true value to medicine can only be realised when we are able to link it to what we know about the lives of specific people in the offline world. Only by doing this can we validate our online measurements of mental health and understand the effect that the social media revolution is having on what it means to be human.Research chapters will include:1) Epidemiology of social media use2) Validating existing social media predictors of mental health and developing new ones using gold-standard ground truth measures in epidemiological samples3) High-resolution time-series analyses of genetic and environmental influences on mental health over time and in response to events4) Causal analyses of the impact that social media use has on mental health