Laura Osburn

Laura Osburn

Senior Research Scientist, Construction Management

Dr. Laura Osburn is a senior research scientist in the Department of Construction and co-leads the Cybersecurity in the Built Environment (Cyber-BE) lab. She has over ten years of qualitative research experience with expertise in communication and organizational practices. Laura is currently leading a three-year NSF funded project titled, “Knowledge Work and Coordination to Improve O&M and IT Collaboration to Keep Our Buildings Smart AND Secure.” This project aims to improve Internet of Things (IoT) security in the built environment through studying how Operations and Maintenance personnel and Information Technology personnel work together to deploy and maintain IoT devices and the impact that public policies regarding data security and privacy may have on their collaborative work. As a research scientist, Laura has also supported projects on other topics that include interdisciplinary communication and collaboration, AEC collaborative data practices (e.g., BIM, energy modeling, data visualizations), equitable workplace practices in architecture, Prevention through Design, and Integrated Project Delivery (IPD). Her work has been funded by the National Science Foundation, General Services Administration, U.S. Army Corps of Engineers, Sound Transit, Skanska, University of Washington, the American Institute of Architects, and the Charles Pankow Foundation.



Osburn, Laura; Lee, Hyun Woo; Gambatese, John A. (2022). Formal Prevention through Design Process and Implementation for Mechanical, Electrical, and Plumbing Worker Safety. Journal Of Management In Engineering, 38(5). View Publication


Anderson, Anne; Dossick, Carrie Sturts; Osburn, Laura. (2020). Curriculum To Prepare Aec Students For Bim-enabled Globally Distributed Projects. International Journal Of Construction Education & Research, 16(4), 270 - 289. View Publication


Neff, Gina; Tanweer, Anissa; Fiore-gartland, Brittany; Osburn, Laura. (2017). Critique And Contribute: A Practice-based Framework For Improving Critical Data Studies And Data Science. Big Data, 5(2), 85 - 97. View Publication