Please write a Research Proposal regarding (Privacy and law enforcement). The following are the instructions. Please don’t use AI writing.
You must submit a proposal that outlines the topic and scope of the final research paper you will complete at the end of the term. All assignments after our WMD essay will be on this topic you choose. The proposal should be concise but thorough. I will award points based on how well you define your project and how completely you address the items listed below.
Instructions
- Your proposal must include the following:
- Explain your topic. Provide enough context to define the issue you will write about. Clarify important terms, historical contexts, and key points as necessary.
- Explain how the ideas (personal data, algorithms, inequality, profiteering, scale, manipulation, etc.) from the Weapons of Math Destruction and Privacy book speak to your topic.
- Explain why you find this topic attractive and/or interesting. In other words, why did you select it?
- Summarize at least two different viewpoints relating to this topic. This will likely include using outside sources. You may directly quote, l paraphrase, or summarize the source, BUT you must credit these sources in-text in your proposal in MLA format.
- List all sources referenced in this proposal under the heading, “Works Cited” at the end in MLA format
- Create a working thesis that addresses your research paper topic and the prompt. Place it at the end of your proposal and underline it. Thesis should answer the prompt below.
- Create an argumentative research paper investigating the specific privacy issues associated with one of the subtopics, their effects (beneficial or harmful), and a solution to these issues.
- Paper should be in MLA
Works that need to be Cited for Proposal. Are the following.
Francis, John G., and Francis, Leslie P..
Privacy: What Everyone Needs to Know
. Oxford
University Press. 2017.
O’Neill, Cathy.
Weapons of Math Destruction: How Big Data Increases Inequality and
Threatens Democracy.
Broadway Books. 2017