Given that chronic diseases are responsible for the majority of premature deaths and healthcare costs, and that health risk behaviors cause much of the illness, suffering, and early death, the promise of Precision medicine can not be realized through Genomics alone. Thus there is growing interest in data driven techniques for patient monitoring, user modeling, and consumer engagement to help “close the gap between what we are born with and what we die from”. Moreover, consumers have embraced technology across demographics (sometimes too much) and the Healthcare system is increasingly incentivized to focus on prevention and patient-centric approaches. This makes it the perfect time for the health, tech, and behavioral sciences communities to work together in creating data-driven, design-rich, and behaviorally-insightful innovations and to do it in the bold, rapid-iteration, real world engaged way that computing has transformed almost every other industry and sector. This talk will address related activities at Open mHealth, the Small data lab, and the Mobile research study communities (i.e., ResearchKit(TM) and Research Stack.)