There is a persistent theme and line of thought that runs through our smart city proposal – how to thrive and grow in a time of tremendous policy and legislative uncertainty. We are in a time where there is no consensus yet, within civil society, between professions, and beyond, about how to think about and act on an ever-growing amount and range of data, and how to develop the capacity to participate in those decisions. Some see data as an asset, others see it as a liability – some talk about privacy and security, others talk about minimization and inevitable breach. Any smart city proposal raises a significant range of intellectual property, human rights, data protection, privacy issues – and those are just the ones we know about. The only thing that is certain right now is that the topic is unwieldy, and the best way forward is to move cautiously in some areas, and more confidently in others, while maintaining the inclusive engagement to understand impact and check our assumptions. This is the crux of our proposal. And as part of our commitment to promoting debate and engagement, this discussion paper explores one of the major challenges related to the uncertain terrain of the data governance world – the data-driven policy confidence interval problem.