Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Influence of the sunrise, sunset and daylight on the human sleep wake cycle has been primarily studied using questionnaires from limited size cohorts. The studies indicate that it varies along the year while the sunrise and sunset could be related with the onset and conclusion of sleep. Here,  take an empirical data-driven approach by utilizing anonymized mobile phone data or "digital footprints" of very large size cohort during a year. Using aggregated calling patterns  construct the distributions for the daily first and last calls in different cities along the year.  also characterize a daily period of low calling activity that allows to infer the dependence of the sleep-wake cycle on geographical location and the seasonal changes.  find rather surprisingly that the mobile phone users synchronize their last and first calls with the local sun transit time along the longitude they are located. Further analysis reveals that the difference beten the durations of the low activity period in the summer and the winter is governed by the latitude of the users' domiciles, such that people in the southern cities experience a time difference almost twice as large as the people in cities located 8 degrees to the north. Finally,  argue that the synchronization of the onset and the middle of the period of low calling activity in cities is entrained by sun-based clocks with the solar noon (or solar midnight) being the most plausible candidate for this pacemaking.
['Daniel Monsivais', 'Kunal Bhattacharya', 'Asim Ghosh', 'Kimmo Kaski']
I am writing a research paper on a idea Seasonal and geographical influence on sleeping patterns inferred from mobile phone data
[{"from": "human", "value": "I am writing a research paper on a idea Seasonal and geographical influence on sleeping patterns inferred from mobile phone data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Influence of the sunrise, sunset and daylight on the human sleep wake cycle has been primarily studied using questionnaires from limited size cohorts. The studies indicate that it varies along the year while the sunrise and sunset could be related with the onset and conclusion of sleep. Here,  take an empirical data-driven approach by utilizing anonymized mobile phone data or \"digital footprints\" of very large size cohort during a year. Using aggregated calling patterns  construct the distributions for the daily first and last calls in different cities along the year.  also characterize a daily period of low calling activity that allows to infer the dependence of the sleep-wake cycle on geographical location and the seasonal changes.  find rather surprisingly that the mobile phone users synchronize their last and first calls with the local sun transit time along the longitude they are located. Further analysis reveals that the difference beten the durations of the low activity period in the summer and the winter is governed by the latitude of the users' domiciles, such that people in the southern cities experience a time difference almost twice as large as the people in cities located 8 degrees to the north. Finally,  argue that the synchronization of the onset and the middle of the period of low calling activity in cities is entrained by sun-based clocks with the solar noon (or solar midnight) being the most plausible candidate for this pacemaking."}]