I explore how clustering algorithms like KMeans can be applied to create better sampling methods than using sub-city boundaries in Addis Ababa using spatial data, helping researchers and data collectors rethink how areas are grouped. A starting point, not the final word.
Coming Soon.
Choosing our research topic came naturally when we were assigned our project as third-year statistics majors. We had already observed distinct patterns in how students across different departments and academic years were were using AI tools on campus. Our goal became clear… quantify and visualize this growing dependency. What followed was an insightful journey of dicovery (and a few mistakes along the way). Here’s a look at our findings.