About the STRP Program
The Seed Translational Research Project (STRP) Program, one of the ART project’s core programs, is designed to support faculty seeking to scale-up the impact of their research through community-engaged, experiential curriculum. Faculty and student teams will develop a deep understanding of the value-proposition and use-contexts of their research as well as modify or create courses so that students can produce valuable information and useful data products for specific community-based stakeholders.
Faculty participants in the STRP program receive funding, training, and mentorship to explore and hone their value proposition, explore and define a client base, develop or modify a course that will support students in producing deliverables for local community clients, and identify key partners. The application period for Spring 2025 STRP proposals is now closed. Stay tuned for new STRP announcements and updates!
Fall 2024 STRPs
Urban Heat
George Mason University Assistant Professor and NSF ART Co-PI Dr. Luis Ortiz has developed one of the first STRPs of the program. Focusing on the issue of urban heat, Dr. Ortiz designed a new course for graduate students to learn how to design micrometeorological models utilized by local planners in their efforts to protect urban infrastructure and public health. Students will work on a project co-designed by community stakeholders using their learned modeling skills. At the conclusion, students will present their results to the community to receive feedback and iterate on solutions.
Flood Adaptation
George Mason University Department of Civil, Environmental, and Infrastructure Engineering Professor Dr. Celso Ferreira has developed a STRP focused on fostering innovative adaptation solutions and helping stakeholders address flood risks. Participating students collaborate with state agencies, local governments, and community organizations across Virginia to develop place-based compound flood risk assessments and community-led adaptation strategies using current and future climate data based on the Coastal Resilience Master Plan Pluvial Model.