The transition of data from being a scarce resource to a massive and real-time processed stream is rapidly changing the world we live in, challenging and often subverting long-lasting paradigms in a broad range of domains. Finance, economics, politics, journalism, medicine, biology, and physics, to name a few, have been disrupted by the existence of large amounts of data. The almost universal adoption of mobile phones, the exponential growth in the usage of Internet services and social media platforms, and the proliferation of digital payment systems, wearable devices, and connected objects has led to the existence of unprecedented amounts of data about human behavior. We live in an unprecedented historic moment where the availability of vast amounts of human behavioral data, combined with advances in machine learning, are enabling us to build predictive computational models of human behavior.In my talk, I will show examples of how those computational models of human behaviors can be used to better understand and to design more efficient companies, cities, and societies. I will also discuss key human-centric requirements for a positive disruption of these novel approaches including a fundamental renegotiation of user-centric data ownership and management, the development of tools and participatory infrastractures towards increased algorithmic transparency and accountability, and the creation of living labs for experimenting and co-creating data-driven policies.