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<p class="MsoNormal">Begin forwarded message:<o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-family:"Helvetica Neue"">From: </span></b><span style="font-family:"Helvetica Neue"">Katherine Hoss <<a href="mailto:hoss@mit.edu">hoss@mit.edu</a>></span><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-family:"Helvetica Neue"">Subject: Fall '20 Special Topics in Political Science: Elections by the Numbers</span></b><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-family:"Helvetica Neue"">Date: </span></b><span style="font-family:"Helvetica Neue"">August 13, 2020 at 9:51:57 AM EDT</span><o:p></o:p></p>
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<p class="MsoNormal"><span style="font-family:Athelas">Can you please send around this course description to students in your departments? I anticipate this being a popular class to take during the upcoming presidential election!</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:Athelas">Thanks much,</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:Athelas">Kate</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:Athelas">Students,</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:Athelas">Consider enrolling in 17.S918: Elections by the Numbers! The class will be offered virtually and synchronously M/W 1:00-2:30pm. Feel free to email me at</span><span class="apple-converted-space"><span style="font-family:"Cambria",serif"> </span></span><span style="font-family:Athelas"><a href="mailto:hoss@mit.edu"><span style="color:#0563C1">hoss@mit.edu</span></a></span><span class="apple-converted-space"><span style="font-family:"Cambria",serif"> </span></span><span style="font-family:Athelas">with
questions about the class or other course 17 offerings this fall.</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:Athelas">Course description:</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:Athelas">Taught by Prof. Charles Stewart (Political Science’s elections specialist)</span><span class="apple-converted-space"><span style="font-family:"Cambria",serif"> </span></span><u><span style="font-family:Athelas">Elections
by the Numbers</span></u><span class="apple-converted-space"><span style="font-family:"Cambria",serif"> </span></span><span style="font-family:Athelas">is a hands-on, project-based class that encourages students to follow the 2020 election through the lens
of quantitative analysis of election data.</span><span style="font-family:"Cambria",serif"> </span><span class="apple-converted-space"><span style="font-family:"Cambria",serif"> </span></span><span style="font-family:Athelas">Topics to be covered include election
reform, election administration, election modeling, voter fraud, public opinion, and gerrymandering. Students will learn to acquire and analyze both administrative election data and data about public opinion.</span><span style="font-family:"Cambria",serif"> </span><span class="apple-converted-space"><span style="font-family:"Cambria",serif"> </span></span><span style="font-family:Athelas">During
the first half of the class, topics will be introduced through a combination of reading, lectures, and group projects.</span><span style="font-family:"Cambria",serif"> </span><span class="apple-converted-space"><span style="font-family:"Cambria",serif"> </span></span><span style="font-family:Athelas">After
Election Day, teams will tackle a self-identified topic that arises from the conduct of the 2020 election.</span><span style="font-family:"Cambria",serif"> </span><span class="apple-converted-space"><span style="font-family:"Cambria",serif"> </span></span><span style="font-family:Athelas">Prior
experience with programming or statistical software (R, Stata, etc.) is helpful but not required.</span><span class="apple-converted-space"><span style="font-family:"Cambria",serif"> </span></span><span style="font-family:"Cambria",serif"> </span><span style="font-family:Athelas">Those
who are not proficient with managing large datasets and using statistical software at the beginning of the semester will be so at the end.</span><span style="font-family:"Cambria",serif"> </span><span class="apple-converted-space"><span style="font-family:"Cambria",serif"> </span></span><span style="font-family:Athelas">Grading
will be based on class participation, presentations, and brief project write-ups.</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:Athelas">Best,</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-family:Athelas;color:#7030A0">Katherine Paton Hoss, Ph.D.</span></b><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:Athelas">Lecturer/Academic Administrator</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:Athelas">Department of Political Science</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:Athelas">Massachusetts Institute of Technology</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:Athelas">Zoom ID: 597-907-3067</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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