CS3 Research Experience for Teachers (RET) at Columbia University

Overview

The CS3 Research Experience for Teachers (RET) program provides K–12 STEM educators with a unique opportunity to engage in hands-on research focused on smart streetscapes. Participants collaborate closely with CS3 researchers from Columbia University and Lehman College, gaining exposure to emerging artificial intelligence (AI) approaches and exploring how data-driven technologies can enhance urban life across New York City. Research activities will span a range of interconnected areas, including computer vision, urban data collection, and statistical analysis of street-level interventions. Participants will also explore how recent advances in generative AI can support research and analysis workflows. In addition to their research experience, participants attend seminars on STEM education and pedagogy. These sessions support educators in developing engaging, classroom-ready lesson plans that integrate CS3’s engineering curriculum with the interests and lived experiences of their students. The program requires a commitment of approximately 24 hours per week. Participants are paid a stipend of $5,000 for their participation.

Research topics

research, STEM, engineering, computer science, AI, artificial intelligence, education, computer vision, streetscape, smart cities, smart city

Eligibility

Eligibility: Certified math or science teacher U.S. citizen or permanent resident Currently teaching at a public middle or high school in New York City (strong preference for educators in Harlem-based schools) Endorsement from school administration required Preferred Qualifications: Introductory knowledge of computer programming (any language) Strong general computer skills, including comfort working with spreadsheets and managing, collecting, and processing data Interest in applying computer vision and AI in real-world contexts