answer the questions below using data in a social setting
answer each question using the atached files and the book Automating Inequality, size 12 times new roman
1) Jordan Ellenberg provides a quadrant diagram for thinking about complex problems. Using the examples, evidence, and evaluations provided by Virginia Eubanks, analyze the problem of homelessness in Los Angeles using the four categories of Ellenberg’s quadrant. Fill each sector of the quadrant with questions about homelessness and policy responses. Given this distribution, what is the best policy response to homelessness?
Answer: chart with text in each box, and analysis (50 words maximum)
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Profound |
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Shallow |
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Simple |
Complicated |
2) Using data from the 1910 Census and the discussion of proportion and sample size in Ellenberg, create one table that answers the following three questions: which 10 counties and cities in Virginia had the most paupers, the highest proportion of paupers, and the highest proportion of African Americans classified as paupers? Based on this table, which county or city had the most significant number of paupers? Answer: one table, and analysis (50 words maximum)
3) Using evidence from case studies in Automating Inequality, evaluate Eubanks’ argument that political contests are not primarily about information, but rather “they are about values, group memberships, and balancing conflicting interests.†Discuss three examples from this book, at least one of which supports her argument about the complexities of politics and one that demonstrates the value of information. Answer: analysis (100 words maximum)
4) In Automating Inequality, Eubanks offers this statement from Los Angeles lawyer Gary Blasi to support her criticism of algorithmic decision-making: “You can’t build any algorithm that can handle as many variables, and levels of nuance, and complexity, as human beings present.†Identify one important contemporary issue that can be effectively addressed with algorithmic decision making and one important contemporary issue that is too complicated to be addressed by algorithmic decision making. Your examples should not duplicate examples discussed in Automating Inequality. Answer: analysis (100 words maximum)
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