Discover
Students will investigate their community to identify issues of light pollution by visiting local sites, engaging with NYC Audubon Society mentors, and gathering initial data, setting the stage for deeper analysis in subsequent phases.
Days 1 - 6
Challenge Definition
Deliverable
Inquiry Questions
Deliverable
Examine
Students will collaborate with NYC Audubon Society mentors to conduct detailed field research on light pollution's impacts, analyze collected data, and synthesize findings to identify patterns and potential solutions for their engineering phase.
Days 7 - 12
Root Cause Analysis
Deliverable
Solution Proposal
Deliverable
Engineer
Students will collaborate to design prototypes of AI-driven environmental tools that translate raw sensor data into actionable insights, addressing the challenge of light pollution in NYC by iteratively testing and refining their models with guidance from NYC Audubon Society mentors to ensure optimal functionality and impact.
Days 13 - 18
Source Evaluation Report
Deliverable
Do
Students will collaborate with NYC Audubon Society mentors to install and test sensor-based prototypes in real-world settings, analyze light pollution data, and refine their AI-supported environmental communication systems for effective practical solutions.
Days 19 - 24
No activities have been added to this phase yet.
Share
Students will present their AI-supported environmental communication systems to city officials and NYC Audubon Society, sharing findings and solutions on mitigating light pollution to prompt community action.
Days 25 - 30
No activities have been added to this phase yet.