Story Telling Data Sharing ML Experience Applications Ethics
Reference: http://ocel.ai/story-telling/
Define your scope or domain where the use case is relevant or prevalent?
Quality and well-being of communities and neighborhoods throughout Kansas City.
What is your main story?
“Studying at UMKC for almost six years, I have always had a great desire to contribute to the local community, especially in Kansas City, Missouri.
In order to leverage the power of technology, our team is happy to contribute our knowledge in both urban studies and technology to help serve neighborhoods throughout Kansas City.
To sustain a healthy community, decision-makers would need to develop a solution to lower the already growing and obvious discrepancies between the poor and wealthy neighborhoods.
Who are the characters or people in the main story?
Authorities, Decision-makers, and Residents.
What happens?
The income differences of neighborhoods also establish a distinction in appearance. For instance, we can easily distinguish a low-income from a high-income neighborhood, not only because of the houses, but also other public facilities and amenities.
For example, people living in neighborhoods with low living conditions are always prone to attacks (e.g. robbery, thief, and shooting).
Why?
Abandoned houses, low living conditions, and lack of educational resources will likely serve as places where criminal and bad people gather which will damage the overall safety, value, and popularity of the community as well as lower the security of the residents.
How?
Early identification of vulnerable neighborhoods helps enhance the quality of life and ensure more safety for the residents while potentially driving newcomers into the neighborhoods.
This broad domain calls for a comprehensive yet versatile solution because each neighborhood’s characteristics are unique and can originate from various sources.
While this issue may be overwhelming for a single person to manually assess and analyze, we can take advantage of the latest advances in machine learning to reliably tackle the problem so that we can devise a well-rounded solution from a higher-level perspective.
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