Title
Full Stack Visualization: From Vision to Insight

Abstract
In this inaugural lecture, I will define the "visualization stack" as a set of layers that comprise data visualization research: (1) evaluation, (2) techniques, (3) systems, (4) applications, and (5) theory & models. I will then go on to demonstrate my own "full stack" approach to data visualization, one that holistically spans all five layers of the visualization stack in an effort to build user-driven, data-centric, and highly interactive software for effective data analysis. Common among all of these is the use of visual representations, user interaction, and human-centered AI (HCAI). In the process, I will present several research projects from different layers in the stack that demonstrate key research methods in visualization, including natural language processing (NLP), distributed computing, data science, vision & perception, and human-computer interaction (HCI). My goal is to show how such a holistic research agenda for data visualization can facilitate a disciplined, rigorous, and technical approach that also incorporates human-centered values such as participatory design, qualitative research methods, and universal accessibility.