2016-2017 Events

Annual Theme: Research Design is Not Enough

Conferences & Symposia

Political Economy Mini Conference

Friday May 12, 2017
This mini-conference brought together Emory faculty and distinguished scholars from around the country to share and exchange thought leadership in the area of political economy.

Title: BLP-Lasso for Aggregate Discrete Coice Models of Elections with Rich Demographic Covariates
Speaker: Matt Shum (California Institute of Technology)
Discussant: Zhongjian Lin (Emory University)
No Recording
Title: Backward Induction in the Wild? Evidence from Sequential Voting in the U.S. Senate
Speaker: Jörg Spenkuch (Northwestern University)
Discussant: Sergio Montero (University of Rochester)
No Recording
Title: Unidimensional Scaling without Apology
Speaker: Tasos Kalandrakis (University of Rochester)
Discussant: Kei Kawai (University of California at Berkeley)
No Recording
Title: Persistence of Power: Multilateral Bargaining
Speaker: Marina Agranov (California Institute of Technology)
Discussant: Peter Buisseret (University of Chicago )
No Recording
Title: Do Voters Know Enough to Punish Out of Step Congressional Candidates?
Speaker: Michael Peress (SUNY Stony Brook)
Discussant: Zac Peskowitz (Emory University)
No Recording
Title: Information Gatekeeping, Access Control, and Media Bias
Speaker: Hülya Eraslan (Rice University)
Discussant: Chad Kendall (University of Southern California)
No Recording
Southeast Education Data Symposium 2016

June 27 - 28, 2016
Event Program. The theme of 2016’s Southeast Educational Data Symposium (SEEDS) was “Closing the Loop.” By considering data, intervention, and evaluation together as part of a common conversation with the goal of enhancing student success, analytics can become more actionable for educators and more beneficial for students.

No Recording

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DataFest™ 2017

Mar 31 - Apr 2, 2017
DataFest @ Emory is a weekend-long data analysis competition for undergraduate students.  The competition originated at UCLA in 2011 and now takes place all over the country.  It is a true celebration for the data science community! More on ASA DataFest here.

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Graduate Student Meet & Greets

Big and Small Data

Wednesday Mar 22, 2017
Link to Flyer. A Gradate Student Meet N' Greet that focused on the ways in which traditional lab-based data acquisition can be leveraged alongside new "big data" techniques for a more complete understanding of behaviors and processes. Speakers: Robert Thorstad (Psychology), Dominic Robe (Physics), Arick Wang (Psychology)

Bayesian Statistical Methods

Wednesday Nov 15, 2016
Link to Flyer. A graduate student Meet N' Greet that addressed the myriad of ways Bayesian statistics can be used to understand data. Speakers: Vlad Ayzenberg (Psychology), Lindsay Collin (Epidemiology), Steven Riley (Psychology).

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Speaker Series

Annual Theme Series: Research Design is Not Enough

Charles Manski, Department of Economics at Northwestern University

How Do Right-To-Carry Laws Affect Crime Rates? Coping with Ambiguity Using Bounded-Variation Assumptions
Wednesday Apr 12, 2017
Link to Talk Abstract.

No Recording
Maggie Penn, Department of Political Science at University of Chicago

Does Representation Induce Polarization? A Theory of Choosing Representatives
Wednesday Mar 29, 2017
Link to Talk Abstract

No Recording
Erik Snowberg, Department of Economics and Political Science at California Insitute of Technology

Recent Advances in the Theory of Experimentation
Wednesday Feb 1, 2017
Talk Abstract. The social sciences have seen great advances in the use of field experiments. These advances have been largely based on pragmatic concerns. In this talk, I will apply the mathematical tools of behavioral decision making to try to understand why we run experiments the way we do, and how we can use this understanding to create new experimental techniques. Some of these techniques are being applied in the field, and I will summarize how well they do (or don’t) work.

Recording Available ▸

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Visiting Fellows Speaker Series

Weihua An
Visiting Faculty Fellow, Summer 2016
Network Dynamics of Network Interventions

Alberto Purpura

Before Computer Scientists Make Us Obsolete… Let’s Take Advantage of Them
Thursday, Dec 8 2016
Talk Abstract. The talk illustrates some of the cutting-edge tools that data miners and computational linguists have been perfecting over the last decade or so. We will start by showing how basic principles of machine learning built in PC-ACE (Program for Computer-Assisted Coding of Events) make manual approaches to text such as Content Analysis or Quantitative Narrative Analysis (QNA) more efficient and more reliable than in CAQDAS programs (Computer-Assisted Qualitative Data Analysis Software, such as Atlas.ti, NVivo, MaxQda). We will show how narrative data in PC-ACE can be visualized in dynamic network graphs and dynamic GIS maps. For illustrative purposes we will rely on a corpus of a thousand newspaper articles on lynching events that occurred in Georgia between 1875 and 1935. The main focus of the talk will be on Natural Language Processing (NLP) tools and what they can do for us: Part-of-Speech (POS) tagging, Named Entity Recognition (NER), Dependency Parsing, and Sentiment analysis in Stanford CoreNLP, topic modelling in Mallet, sentence complexity in Computerized Linguistic Analysis System (CLAS), Key-Word in Context searches (KWIC). We will use these computational tools to compare the short story Dry September, a fictional story of lynching by Nobel laureate William Faulkner, to the thousand newspaper articles on real Georgia lynchings.

No Recording

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Special Lecture Series

Sam Wang

Can Math Help Save Democracy? Partisan Gerrymandering and the Supreme Court
Tuesday Mar 21, 2017
Talk Abstract. In partisan gerrymandering, boundaries are drawn to encircle as many voters as possible of the opposing party, thereby packing them into a small minority of districts. The Supreme Court identifies partisan asymmetry is a hallmark of this offense against democracy, but has not settled upon a manageable standard. I will describe three tests (68 Stan. L. Rev. 1263) that meet existing legal criteria. Two tests are based on classical statistical testing, and one is based on simulation of a partisan- neutral process. Crucially, none of the tests depends on geography. If adopted by courts or through citizen initiatives, these tests may help repair a bug in American democracy.

No Recording
Jeremy Fox

Heterogeneous Production Functions, Panel Data, and Productivity Dispersion
Tuesday Nov 1, 2016
Talk Abstract. In this lecture we explore identification in linear panel data models with time varying random coefficients that can be correlated with explanatory variables. We also identify the moments of the distribution of random coefficients conditional on the explanatory variables. We conclude with a discussion of applications of our results to production functions.

No Recording

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Digital Mapping and the Humanities (Spring 2016)

Public Lecture Series
[Series Info]
This series was co-sponsored by QTM, among others.

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QSS Major Events

Love your QSS Major

Feb 15 - 17, 2017
An awareness event for the Quantitative Social Sciences Major. This event encouraged students to network with QTM on Facebook, drop by the QTM offices and learn more about data science, and raffled prizes to students.

No Recording
Networking Night 2016

Thursday Oct 20, 2016
We hold an annual netowrking night to help put QSS majors in touch with each other, with academia, and with industry, to see how they can use their major. 2016 representatives came from diverse academic fields (Political Science, Biology, Sociology, Psychology/Linguistics, Math) and from industry partners (Ernst & Young, Turner, etc.).

No Recording

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Japanese Text Mining - Digital Humanities Methods for Japanese Studies

May 30, 2017 - June 2, 2017
This interdisciplinary workshop brought researchers working across the fields of computational text analysis and Japanese Studies together. The sessions focused on the unique challenges of digital analyses of Japanese texts, including challenges of OCR (Optical Character Recognition) for Japanese texts, specialized tools for classical, early modern, and modern Japanese grammar, and more. The workshop was sponsored in part by QTM.

GIS - Applications of Geographic Information Systems

Friday Feb 24, 2017
The goal of this workshop was to introduce individuals to ArcGIS software and demonstrate the functionality and potential of GIS for visualizing directional trends over time, density of events, and more. Led by Megan Slemmons, GIS Librarian at the Emory Center for Digital Scholarship.

Data Visualization in R

Friday Feb 17, 2017
R is a popular program for statistics, but it is also capable of producing high-quality data visualizations. This workshop focused on exploring ggplot2 and plotly for data visualization. Led by John Bernau, Digital Scholarship Specialist at Emory Center for Digital Scholarship.

Tableau for Data Scientists

Feb 8 - 9, 2017
This two-day workshop covered data processing and visualization from the start to the finish of a project using Tableau software. Led by Paul Lisborg, Manager of Business Intelligence & Analytics at Oldcastle Architectural.

Text Analysis for Social Scientists

Friday Jan 20, 2017
Text analysis is a valuable tool for social scientists. This workshop covered computational techniques for studying the content of text, using Twitter as a test case. Led by Joshua Fjelstul, Graduate Student in the Emory Political Science department.

Python for Data Scientists

Nov 2-3, 2016
This Workshop was intended for Python and programming novices. The goal of the workshop was to acquaint novices with python command line essentials and related tools (Github and Jupyter) for data science applications. This event was held twice; once in Fall 2016 and again in Spring 2017. Led by Jeremy Jacobson, Visiting Professor at the Institute for Quantitative Theory and Methods.

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