Time Use Survey

Time Use Surveys (TUS) are questionnaires designed to understand how individuals allocate their time across various activities. Current research focuses on improving TUS data quality and efficiency, including using machine learning algorithms to optimize survey design and predict outcomes (e.g., identifying relevant questions for disease prediction and reducing survey length), and integrating TUS data with other sources like agent-based modeling to enhance accuracy and detail in simulations. These advancements aim to increase the reliability and applicability of TUS data across diverse fields, from energy consumption modeling to market research and social science studies, ultimately leading to more robust and insightful analyses.