Interactive computational tools for assessing and understanding urban accessibility at scale

My dissertation research explores assessing urban accessibility and building interactive tools that support decision making processes (e.g., to influence city policy). Using crowdsourcing, visualization, and data science techniques, I will develop a suite of tools that enables stakeholders to understand and communicate about urban accessibility, with a specific focus on sidewalk accessibility. These interactive tools would allow stakeholders to learn about city (in)accessibility, surface underlying causes behind the current state, and help present that information effectively for political advocacy.