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22 lines
2.2 KiB
22 lines
2.2 KiB
## Write A Data Ethics Case Study
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## Instructions
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You've learned about various [Data Ethics Challenges](README.md#2-ethics-challenges) and seen some examples of [Case Studies](README.md#3-case-studies) reflecting data ethics challenges in real-world contexts.
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In this assignment, you'll write your own case study reflecting a data ethics challenge from your own experience, or from a relevant real-world context you are familiar with. Just follow these steps:
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1. `Pick a Data Ethics Challenge`. Look at the [the lesson examples](README.md#2-ethics-challenges) or explore online examples like [the Deon Checklist](https://deon.drivendata.org/examples/) to get inspiration.
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2. `Describe a Real World Example`. Think about a situation you have heard of (headlines, research study etc.) or experienced (local community), where this specific challenge occurred. Think about the data ethics questions related to the challenge - and discuss the potential harms or unintended consequences that arise because of this issue. Bonus points: think about potential solutions or processes that may be applied here to help eliminate or mitigate the adverse impact of this challenge.
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3. `Provide a Related Resources list`. Share one or more resources (links to an article, a personal blog post or image, online research paper etc.) to prove this was a real-world occurrence. Bonus points: share resources that also showcase the potential harms & consequences from the incident, or highlight positive steps taken to prevent its recurrence.
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## Rubric
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Exemplary | Adequate | Needs Improvement
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--- | --- | -- |
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One or more data ethics challenges are identified. <br/> <br/> The case study clearly describes a real-world incident reflecting that challenge, and highlights undesirable consequences or harms it caused. <br/><br/> There is at least one linked resource to prove this occurred. | One data ethics challenge is identified. <br/><br/> At least one relevant harm or consequence is discussed briefly. <br/><br/> However discussion is limited or lacks proof of real-world occurence. | A data challenge is identified. <br/><br/> However the description or resources do not adequately reflect the challenge or prove it's real-world occurence. |
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