Our NSF-S&CC Proposal titled “Community-Driven Design of Fair, Urban Air Mobility Transportation Management Systems” has been funded! This $2M project will engage with a multitude of stakeholders (the public, policymakers, industry, and the government) to design a Computer Aided Planning tool named VertiCAP. VertiCAP will be equipped with novel neuro-symbolic machine learning algorithms to navigate complex design space options, including long-term decisions (i.e., allocation of UAM airports, also known as vertiports), medium-term decisions (i.e., design of air space), and short-term decisions (i.e., air-traffic control). These ML algorithms will be designed to take into account a multitude of socio-technical challenges, including (a) the community preferences and desiderata in terms of necessary considerations for equitable mobility, (b) design options that optimize for community desiderata efficiently, and (c) community-driven evaluative measures and trade-offs.