When
Join us for the College of Information Science Colloquium Series, featuring Laura W. Dozal.
Attend in-person or via Zoom (registration is required):
Friday, January 23, 2026
Presentation: Noon-1 p.m.
Grad Workshop: 1-2 p.m. (in-person only)
An AI/MLOps pipeline runs synthetically generated image data through a multimodal large language model to generate labels and captions for each image. The labels and captions are semantically evaluated and then integrated into a network structure to examine thematic representations and how they are grouped. The synthetically generated images focus on a specific case study involving a social movement. The process uses quantitative analysis and human-in-the-loop evaluation to identify patterns within the network structure and summarize the overall narrative found in the image collection.
About Laura W. Dozal
Laura W. Dozal is a PhD candidate at the University of Arizona’s College of Information Science. Using methods including network analysis, visual interpretation and computer vision, Laura’s work focuses on gender equality movements in Mexico, community perception and information behavior. Laura analyzes online visual and textual narrative representations of the anti-feminicide movement in Mexico using narrative structure, network science, visual analysis and a combination of computer vision/natural language processing applications. As a Jetstream2 fellow, Laura sees her work contributing to the computational social sciences community as well as providing additional tools for social movement practitioners. With a background in nonprofits, Laura understands the importance of providing accessible and approachable technology to people working for change.