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## Title
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## Write A Data Ethics Case Study
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## Instructions
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You've learned about various [Data Ethics Challenges](README?id=_2-ethics-challenges) and seen some examples of [Case Studies](README?id=_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?id=_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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# Title
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# Tell a story
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## Instructions
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Data Science is all about storytelling. Pick any dataset and write a short paper about a story you could tell about it. What do you hope your dataset can reveal? What will you do if its revelations prove problematic? What if your data doesn't easily unlock its secrets? Think of the scenarios your dataset might present and write them down.
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## Rubric
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Exemplary | Adequate | Needs Improvement
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--- | --- | -- |
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A one-page essay is presented in .doc format with the dataset explained, documented, credited, and a coherent story is presented about it with detailed examples from the data.| A shorter essay is presented in less detailed format | The essay is found lacking in one of the above details.
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# Title
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## Instructions
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## Rubric
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Exemplary | Adequate | Needs Improvement
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--- | --- | -- |
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# Title
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# Market Research
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## Instructions
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In this lesson you learned that there are several important cloud providers. Do some market research to discover what each can offer to the Data Scientist. Are the offerings comparable? Write a paper to describe the offerings of three or more of these cloud providers.
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## Rubric
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Exemplary | Adequate | Needs Improvement
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--- | --- | -- |
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A one page paper describes three cloud providers' data science offerings and differentiates between them. | A shorter paper is presented | A paper is presented without completing the analysis
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# Data Science in the Wild
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[Brief description about the lessons in this section]
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Real-world applications of data science across industries.
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### Topics
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1. [Data Science in the Real World](20-Real-World-Examples/README.md)
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### Credits
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Written with ❤️ by [Nitya Narasimhan](https://twitter.com/nitya)
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