Through a data-driven research case study in Tel-Aviv, I show that the city’s traditional planning methodology is inaccurate and may be counter-productive. Using GIS data and python code to analyze the spatial and economic feasibility of a new incentive-based rezoning, I make a case that today’s hero’s of urban planning have a responsibility to become leaders in the emergence of urban science and tech. If we want cities that are truly smart, we must begin with smarter planning.