Lat Long Labs (LLL) presents the first of its kind – a platform for optimizing quality of life as a function of location and family. In this talk, we will dive into the technology enabling this breakthrough—a constraint optimization machine running over a multi-grid feature space that unifies hundreds of maps covering the eight dimensions influencing quality of life: wealth, employment, environment, health, education, recreation, community, and safety. These maps are personalized to family structure, zip code, occupation, and personal interests for all locations in the United States. All together, LLL produces one step closer to data science + machine learning + AI achieving the zenith of what tech can offer us: to optimize the quality of life for every family—every individual—every human heartbeat.

Optimizing quality of life is such a daunting task it can only be embarked upon with brute force and ignorance, until enough building blocks are in place for clever optimization algorithms to take over. LLL’s initial building block was the development of a personalized total tax model encoding thousands of tax laws. It was then augmented with a personalized income estimator and continually refined until achieving the first of its kind – a personalized discretionary income model – calculating generation of wealth as a function of family and location. Mastering personalized financial models is critical to making actionable recommendations. The additional seven dimensions similarly had models developed from basic building blocks to novel representations. Finally, using a technique from mathematical optimization, constrained optimization, good at handling high dimensional spaces with soft penalty functions, a global optimization is possible for quality of life as a function of location and family.

This talk introduces the architecture underpinning the first known model for simulating and optimizing quality of life as a function of location and family. From this model we show a series of case studies linking the theoretical results of the LLL model with real-life challenges and outcomes for families navigating the dynamic landscape of the United States.