Tamal, Md Ehsanul HaqueBell, Andrew RKillilea, Mary EWard, Patrick S2021-10-122021-10-122019-07-172052-44632052-4463https://hdl.handle.net/10161/23910High-frequency social data collection may facilitate improved recall, more inclusive reporting, and improved capture of intra-period variability. Although there are examples of small studies collecting particular variables at high frequency in the social science literature, to date there have been no significant efforts to collect a wide range of variables with high frequency. We have implemented the first such effort with a smartphone-based data collection approach, systematically varying the frequency of survey task and recall period, allowing the analysis of the relative merit of high-frequency data collection for different key variables in household surveys. This study of 480 farmers from northwestern Bangladesh over approximately one year of continuous data on key measures of household and community wellbeing could be particularly useful for the design and evaluation of development interventions and policies. While the data discussed here provide a snapshot of what is possible, we also highlight their strength for providing opportunities for interdisciplinary research in the household agricultural production, practices, seasonal hunger, etc., in a low-income agrarian society.HumansFamily CharacteristicsInterpersonal RelationsRural PopulationBangladeshCrowdsourcingSmartphoneSurveys and QuestionnairesFarmersJournal article2021-10-12