"Our project examines an archive of Time magazine containing 3,389 issues ranging from 1923 to 2014, focusing on images of human faces. We extracted 327,322 faces from the archive, categorized them by gender, and found compelling temporal patterns in the representation of women. Our data also includes detailed characteristics (including race, age, expression, and context) of a subset of 8,789 of those faces. The research examines how representations of human faces have evolved over time, with the objective of elucidating relationships between images and their corresponding socio-political contexts. The overarching goal of this project is to create a web resource that makes our data and research findings accessible to the public through visualizations and interactive narratives. The website will provide an environment in which to study Time itself, its relationships with historical events, technological changes in media representation, and twentieth century visual culture more generally. The outcome will be a website inviting learners at multiple educational levels and the general public to explore our data and critically examine how images of human faces fit within broader cultural and historical contexts. I will present progress towards our final goal, including our research findings to date and demonstrations of our interactive visualizations. "