The Center for Smart Streetscapes (CS3) is a National Science Foundation Engineering Research Center led by Columbia University. RET participants work with CS3 faculty, staff, and graduate researchers.

The program covers machine learning, computer vision, and urban sensing. Teachers attend lectures, labs, workshops, and research sessions.

Each teacher prepares a classroom module and a final project using New York City data.

The 2026 program runs July 13 through August 6, 2026, at Morningside Heights Campus, Mudd Building, Room 706.

What participants do

Study technical foundations

Learn the core concepts behind neural networks, computer vision, and language models.

Work on research projects

Use CS3 datasets, models, and tools with Columbia researchers.

Prepare classroom materials

Write lesson plans and modules for the next school year.

Present a final project

Present a lesson plan and project to the cohort and program staff.