Students will launch the Southeast Queens flooding project by examining local evidence, identifying who is affected, and framing a focused challenge as urban planners preparing to compare drainage designs with polynomial models in later phases.

Students will analyze Queens or Brooklyn flooding evidence, evaluate source credibility, identify root causes, and propose one drainage approach supported by local data, stakeholder needs, and early algebraic reasoning.

Students will turn prior flood-data analysis into a draft neighborhood flood-risk decision tool by studying a strong model, making a testable prediction about two drainage designs, planning their build, and documenting first-round revisions based on peer feedback.

Students will test their neighborhood flood-risk decision tool using class simulation data and peer users, document evidence of how two drainage designs perform, and record implementation results that support a revised recommendation for an NYC community board.

Students will present their neighborhood flood-risk decision tools to an authentic audience, document how feedback shaped their final recommendation, and reflect on how their mathematical modeling, civic reasoning, and collaboration developed across the project.