Project 1
Student id: l17
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<docHead>
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<title>Project 1-Annotated Bibliography</title>
<author xml:id="l17">Sam Lazer</author>
<version n="1" date="2016-07-13"/>
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<annotated_bib>
<problem_stmt> In the US, every ten years states redraw the boundaries of voting districts
to conform with the most recent census data. Gerrymandering is the intentional and
strategic drawing of voting district boundaries to diminish your political rivals'
influence. This can be done by either "packing" a district by relegating a large group
of demographically similar people into only a few districts where they make up a
majority, or by "cracking" a group by dispersing them between many districts so they
never constitute a large enough portion of a constituency to win. This practice
deliberately undermines our intended system of representative government. However, with
the advent of the computer and the compilation of detailed demographic information into
digital databases such as GIS (geographic information system) the use of what are
conventionally engineering methods has been suggested as a way to mitigate this. Through
the marriage of data optimization with the political process steps can be taken toward
depoliticizing a task that should simply be an unbiased and mundane piece of
housekeeping to keep our democracy functioning properly.<note type="instructor">very interesting problem; I agree, it seems that GIS is a good tool with which to approach changing this outdated practice</note> </problem_stmt>
<citation n="1" style="APA">
<author n="1">Olson, B.</author> (2016, June). <title level="a">Brian Olson: Engineering
Elections Without Bias</title> [Video file]. Retrieved from
http://tedxtalks.ted.com/video/engineering-elections-without-b </citation>
<annotation>
<background type="author"> Olson is a software engineer at PatientsLikeMe. He has been
working on redistricting software for over a decade. </background>
<summary type="general"> </summary>
<relevance type="value_stmt"> </relevance>
</annotation>
<citation n="2" style="APA">
<author n="1">Altman, M.</author> , & <author n="2">McDonald, M. P.</author> (2011,
January). <title level="a">The dawn of do-it-yourself redistricting? Online software
puts redistricting tools in the hands of the public</title> . <title level="j"
>Campaigns and Elections</title> [2010], 32(1), 38+. </citation>
<annotation>
<background type="source"> Published in a periodical for professional political
consultants. </background>
<summary type="general"> </summary>
<relevance type="value_stmt"> </relevance>
</annotation>
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</annotated_bib>
<docReview>
<reviewer type="instructor" xml:id="kgs"/>
<report type="instructor" resp="#kgs">
<p>I think that this problem is well selected and defined has the potential to yield both topical and methodological sources pertinent to it. Obviously this bibliography is still very much in the beginning stages of development, but I would stay the course, complete the research, and see what approach you might take to this interesting and important problem.</p>
</report>
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