🟩 Unit 1: Maps, Models & Meaning

🔁 Sprint 1.1 – The World As Data

🎯 Learning Intention

I can reflect on the power of digital maps and explore ethical questions surrounding data, privacy, and representation.

✅ Success Criteria

I participated in a group discussion and wrote a reflection on how mapping can both help and harm communities.

❓ Why Are We Learning This?

Maps are not neutral. Every choice—what to include, what to name, what to ignore—is a reflection of power. As we learn to map systems and write code, we also learn to shape narratives. That power comes with responsibility.

📓 Tech Journal Prompt

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“What’s something that’s left off most maps—but shouldn’t be?”

(People, stories, resources, risks, etc.)

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📂 Save to: Tech Journal > Week 1 > Friday Entry

📚 Word(s) of the Day

• Data Bias – Systematic errors in data collection or representation that reinforce unfair outcomes.
• Spatial Justice – The fair and equitable distribution of resources and visibility across spaces.