The BUMP study is a cohort study of pregnant women recruited from Mount Sinai Hospital in New York. The study will launch in the fall, 2019 when we plan to enroll over 1000 women in their first trimester. This study is a collaboration between the Center for Digital Health in the Department of Genetics and Genomic Sciences, the Department of Obstetrics, Gynecology, and Reproductive Science, the Blavatnik Family Women’s Health Research Institute, and other partners. The aim of the BUMP study is to leverage data collected from connected digital devices and validate these data with information obtained from routine clinical care to help researchers and clinicians better understand pregnancy related symptoms, conditions, and complications. While pregnancy is a commonly occurring medical event that poses health risks to the pregnant woman and fetus, there is limited research on how to prevent and treat symptoms before they become higher risk complications, and the impact pregnancy related complications can have on women, their fetus and offspring can have devastating, life long effects. In the BUMP study we will collect passive and active measures of physiological, psychological, cognitive, sleep and physical symptoms from pregnant women for one year. This wide array of objective and subjective measures will be collected from a central study app, a smart wristwatch, a smart scale, and a smart ring (that can be resized if you’re wondering). With the use of machine learning and artificial intelligence we plan to see if we can identify signals in these big data that might be able to predict more severe pregnancy related symptoms or complications.