Class Logistics
Links and Logistics
Syllabus |
Class: Logistics (this page!) Section: Section syllabus |
Schedule |
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Lecture videos and slides |
Videos: Perusall (gated) Slides: Access through Weekly Materials |
Readings |
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Problem sets |
Download: Canvas (gated) OR Perusall (gated) Upload: Canvas (gated) |
Peer review |
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Live class meetings |
FAS: Mondays, 3:00-5:00pm in CGIS S010 |
Live class recordings |
DCE students ONLY: Canvas (gated) |
Section |
FAS: Wednesdays, 1:30-2:30pm in CGIS K050 OR Thursdays, 3:30pm-4:30pm in CGIS K031 DCE: Wednesdays, 6:00-7:00pm, Zoom URL on Canvas (gated) |
Drop-in office hours |
Uma: Wednesdays 2:30-4:00pm in CGIS K105 Aleksandra: Thursdays 4:30-6:00pm in CGIS K031 |
1:1 office hours |
Uma: Thursdays 10:00-11:00am in K452 OR Zoom (sign up here: Uma's Calendly) Aleksandra: Fridays 4:00-5:00pm in CGIS Café OR Zoom (sign up here: Aleksandra's Calendly) |
Undergraduate office hours |
1:1: Thursdays 3:00-5:00pm on Zoom (sign up here: Masaoud's Calendly) |
Meeting with Professor King | Message Maria Martins on Perusall (gated) to schedule |
Replication paper office hours
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FAS only
Uma: Wednesdays, 4:30-6:00pm and Thursdays, 11:00am-12:00pm in K452 or Zoom (sign up here: Uma's Calendly)
Aleksandra: by Perusall appointment
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Weekly Schedule and Deadlines
If you want to see the information above in a chronological format...
Monday |
3:00-5:00pm: Class 5:00pm: Problem set released |
Tuesday |
11:59pm: Peer review due |
Wednesday |
1:30-2:30pm: GOV2001 (FAS) section 2:30-4:00pm: Drop-in office hours (Uma) 6:00-7:00pm: STAT E-200 (DCE) section |
Thursday |
10:00-11:00am: 1:1 office hours (Uma) 3:30-4:30pm: GOV2001 (FAS) section 4:30-6:00pm: Drop-in office hours (Aleksandra) |
Friday | 4:00-5:00pm: 1:1 office hours (Aleksandra) |
Saturday |
11:59pm: Problem set or replication check-in due |
Sunday |
~7:00pm: Peer review released |
Course Content, Expectations, and Policies
Your Part
Perusall
Lecture Videos
Class Meetings on Mondays
Sections
Office Hours
Problem Sets
Replication Paper
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Saturday, October 15, 2022 at 11:59pm EDT: A one page write-up of your project is due.
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Saturday, November 5, 2022 at 11:59pm EDT: Due date for the second milestone for the replication paper. You should have successfully replicated the main results in your paper.
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Sunday, November 27, 2022 at 11:59PM EDT: This due date is aligned with the holiday and final class day. You will turn in a first draft of your paper. This draft should contain all figures and tables, and a proposed outline of the paper, in a relatively polished form. This draft need not have much text yet (although the more you complete, the more useful comments you will get in return). Also turn in a replication data file, with all of the data and information necessary to replicate your results and reproduce your tables and figures. At the same time, we will assign your paper to several other students to replicate, and you will receive another group’s paper to replicate.
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Saturday, December 3, 2022 at 11:59PM EDT: You will replicate the other group’s proto-paper and write a memo to them (with a copy to us), pointing out ways to improve their paper and analysis. You will be evaluated based on how helpful, not how destructive, you are. The best comments are written so fellow students can hear and learn from them rather than trying to demonstrate how smart you are.
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Saturday, December 10, 2022, 11:59PM EDT: Turn in the final version of the paper. By the same deadline, you must also follow standard academic practice and create a permanent replication data archive by uploading all your data and code to the Gov2001 Dataverse (j.mp/G2001dv).
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Saturday, December 17, 2022, 11:59PM EDT: Once your paper is turned in, we will assign it to another student and assign you another paper to evaluate. Your last assignment for this class is to read and comment on a fellow group’s final paper. Your main objective is to give feedback on what changes and improvements need to happen in order for the paper to be published (we’ll explain!).
Final
Grades
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The replication paper (or final exam)
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Weekly problem sets and assessment questions
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Engagement.
Numerical Value
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Conceptual Correlate
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Definition
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3
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Check-plus
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Indicates an exceptional understanding of the material; answers are comprehensive and insightful
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2
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Check
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Indicates a satisfactory understanding of the material; answers are complete and mostly correct
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1
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Check-minus
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Indicates an incorrect or incomplete understanding of the material; answers would benefit from additional review
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0
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Insufficient material
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Indicates an absence of sufficient material to assess comprehension level; answers are either incomplete or missing
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Class and section attendance (GOV2001 students only)
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Lecture and reading annotations (due before class on Monday)
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Peer reviews (due Tuesday evening)
Numerical Value
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Conceptual Correlate
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Definition
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2
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Check-plus
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Indicates particularly thoughtful, helpful comments that extend recipients’ engagement with and comprehension of material
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1
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Check
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Indicates useful, coherent, and clarifying comments
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0
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Insufficient material
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Indicates an absence of material to assess
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Distributing or Publishing Course Materials
Extension School Policies
Accommodation Requests: Harvard Extension School is committed to providing an inclusive, accessible academic community for students with disabilities and chronic health conditions. The Accessibility Services Office (ASO) (https://extension.harvard.edu/for-students/support-and-services/accessibility-services/) offers accommodations and support to students with documented disabilities. If you have a need for accommodations or adjustments, contact Accessibility Services directly via email at accessibility@extension.harvard.edu or by phone at 617-998-9640.
Academic Integrity: You are responsible for understanding Harvard Extension School policies on academic integrity (https://extension.harvard.edu/for-students/student-policies-conduct/academic-integrity/) and how to use sources responsibly. Stated most broadly, academic integrity means that all course work submitted, whether a draft or a final version of a paper, project, take-home exam, online exam, computer program, oral presentation, or lab report, must be your own words and ideas, or the sources must be clearly acknowledged. The potential outcomes for violations of academic integrity are serious and ordinarily include all of the following: required withdrawal (RQ), which means a failing grade in the course (with no refund), the suspension of registration privileges, and a notation on your transcript. Using sources responsibly (https://extension.harvard.edu/for-students/support-and-services/using-sources-effectively-and-responsibly/) is an essential part of your Harvard education. We provide additional information about our expectations regarding academic integrity on our website. We invite you to review that information and to check your understanding of academic citation rules by completing two free online 15-minute tutorials that are also available on our site. (The tutorials are anonymous open-learning tools.)