Behavioral Data Science is a new, emerging, interdisciplinary field, which combines techniques from the behavioral sciences, such as psychology, economics, sociology, and business, with computational approaches from computer science, statistics, data-centric engineering, information systems research, and mathematics, all in order to better model, understand and predict behavior. With massive amounts of data currently available and being collected, obtaining access to data is seldom the concern. Information is being produced and stored at an unprecedented rate, and increasingly, much of the big data being collected is about human behavior. Our behavior is captured in the information that we provide from our smartphones, computers, televisions, smart speakers, credit cards, or tracking devices from insurance companies. Sifting through this data and deriving insights on human behavior enables organizations to make more effective decisions and develop stronger policies.