Choice Data

Choice data analysis focuses on understanding how individuals make decisions based on observed choices, aiming to infer preferences and predict future behavior. Current research emphasizes developing sophisticated models, including deep neural networks, large language models, and graph-based methods, to improve prediction accuracy and explainability, particularly when dealing with limited or complex data. These advancements have significant implications for various fields, such as transportation planning, e-commerce, and even neuroscience, by enabling better design of systems and a deeper understanding of cognitive processes underlying decision-making. Improved modeling techniques also address challenges like data scarcity and the need for incorporating social influences on choices.