AI and data technologies are reshaping society—from how we work and learn to how we make decisions and understand the world. In this cluster, researchers design tools, systems, and visualizations that help people explore, interpret, and act on data, while also examining the broader social, political, and ethical implications of data-driven systems.
Our work advances methods for data visualization, human-AI interaction, and machine learning—grounded in human-centered design. We also investigate questions of privacy, tracking, algorithmic accountability, and the social consequences of data use.
This research often involves working closely with communities to ensure that data systems are transparent, equitable, and usable, and that people can meaningfully engage with and critique the technologies that shape their lives.
