Schedule

2018-19 Academic Year

The workshop will meet on Fridays 3:30-5:00pm in Room 707 International Affairs Building, except where otherwise noted below.

Date
(Schedule Change)
Topic Presenter
28 Sept 2018
(3:30pm, IAB 1201)
Formal Models and Lab Experiments Giovanna Invernizzi
5 Oct 2018 Introduction to Python Jeff Jacobs
19 Oct 2018 Web Scraping in R Erin York
2 Nov 2018 Working with Interview Data Colleen Wood
9 Nov 2018 Introduction to GIS in R - Volume 1 Merlin Noël Heidemanns
30 Nov 2018
(3:30pm, IAB 1201)
RDDs: Theory and Practice Pablo Argonte
8 Feb 2019 Sentiment Analysis Jeff Jacobs
22 Feb 2019 Bayesian Process Tracing Theo Milonopoulos
1 Mar 2019 Regular Expressions Julian Gerez
8 Mar 2019 Conceptualizing Democracy Charles Battaglini
15 Mar 2019 Bayesian Integration of Qualitative and Quantitative Evidence Simone Paci
5 Apr 2019 SurveyCTO Dylan Groves
26 Apr 2019 Introduction to GIS in R - Volume 2 Merlin Noël Heidemanns
3 May 2019 Design, Implementation and Analysis of Conjoint experiments Anja Kilibarda & Julia Rubio

2017 - 2018 Academic Year

The workshop will meet on Fridays 2:30-4:30pm in Room 707 International Affairs Building, except where otherwise noted below.

Date
(Schedule Change)
Topic Presenter
28 Sept 2018 How I Learned to Let Go and Love Python:An Introduction Joe Sutherland
06 Oct 2017 Social Network Analysis Jeff Jacobs
20 Oct 2017 Experimental Surveys Maria Snegovayas
27 Oct 2017
(IAB 711, 10:00am)
Conjoint Experiments in Practice Erin York and Alicia Cooperman
3 Nov 2017 Sharing and Collaborating on Research using GitHub Jasper Cooper
10 Nov 2017
(Harriman 1201)
Endogenous Units of Analysis Tara Slough
17 Nov 2017 Formal Models and Lab Experiments Giovanna Invernizzi
01 Dec 2017 Causal Inference in Observational Studies Tom Leavitt
13 April 2018
(2:10pm, IAB 1102)
R for GIS Oscar Pocasangre
4 May 2018
(2:15pm, IAB 405A)
On the Limitations of Electoral Regression Discontinuity Designs Tara Slough

2016-2017 Academic Year

Date
(Schedule Change)
Topic Presenter
22 Sep 2016 Workflow Abhit Bhandari
23 Sep 2016 How I Learned to Let Go and Love Python: An R Story Joe Sutherland
07 Oct 2016 Social Network Analysis Jeff Jacobs
14 Oct 2016 Applied Social Network Analysis John Marshall
28 Oct 2016 Text Analysis Joe Sutherland
18 Nov 2016 Q&A on Bayesian Statistics and Causal Inference Andrew Gelman
02 Dec 2016 Bayesian Approach to Exclusion Restriction Rick McAlexander
27 Jan 2017
(IAB 711, 4:00pm)
Large Scale Data Collection in Challenging Environments Jasper Cooper
03 Feb 2017 Integration of Formal Theory and Quantititative Methods Tara Slough
17 Feb 2017 Application of Formal Theory Carlo Prato
03 Mar 2017 Frequentist Principles in the Context of Bayesian Learning Tom Leavitt
31 Mar 2017
(IAB 711, 3:30pm)
Measurement Tara Slough
07 Apr 2017 Ethics and Interviewing Stephanie Schwartz
21 Apr 2017 Web Scraping Erin York
05 May 2017 RDD as Local Randomized Experiments Tom Leavitt

Fall 2014

Date Topic Presenter
19 Sep 2014 Interactive Graphics in R Alex Coppock
26 Sep 2014 Text Analysis Lindsay Dolan
17 Oct 2014 Field Research Best Practices Jasper Cooper, Amber Spry, Kunaal Sharma,
Yegor Lazarev, Liz Sperber
31 Oct 2014 BART/Data Mining Kolby Hanson, Susanne Baltes
14 Nov 2014 Maps and Querying Jasper Cooper, Alicia Cooperman
21 Nov 2014 Parallel Computing and Apply Functions Alex Coppock

Spring 2014

Date Topic Presenter
24 Jan 2014 Workflow Tools for R and LaTeX Gabriella Sacramone-Lutz,
Mike Smith
3 Feb 2014 Classical Scaling Methods Noah Buckley, Andy Guess
3 Mar 2014 Part 1: Statistical Methods to Detect Electoral Fraud Carolina Ferrerosa-Young
  Part 2: Directed Acyclic Graphs Kolby Hanson, Anselm Rink
7 Mar 2014 Roundtable: Process Tracing and Causal Inference  
31 Mar 2014 Lab Experiments Anselm Rink, Adam Zelizer
11 Apr 2014 Bayesian Item Response Theory Models Noah Buckley, Lucas Leemann
21 Apr 2014 Part 1: Blocking in Experimental Designs Trish Kirkland
  Part 2: Adaptive Randomization Albert Fang
2 May 2014 High Performance Computing (HPC) and
Parallel Programming
Drew Dimmery
9 May 2014 Multiple Comparisons, Multiple Outcomes, and
Hypothesis Testing
Albert Fang

Fall 2013

Date Topic Presenter
27 Sep 2013 Regression Discontinuity Albert Fang, Gabriella Sacramone-Lutz
4 Oct 2013 Survey Experiments Sarah Khan, Dane Thorley, Lauren Young
18 Oct 2013 Web Scraping in R and Python Andy Guess, Sung Eun Kim
1 Nov 2013 Intro to Sensitivity Analysis Alex Coppock, Albert Fang
15 Nov 2013 List Experiments Alex Coppock, Alissa Stollwerk,
Trish Kirkland, Dane Thorley
2 Dec 2013 Intro to Machine Learning Grant Gordon

Summer 2013

Date Topic Presenter
8 Aug 2013 Intro to Text Analysis Lindsay Dolan, Tamar Mitts

Spring 2013

Date Topic Presenter
Feb/Mar 2013 Networks Neelanjan Sircar, Alex Coppock,
Nick Beauchamp
Mar/Apr 2013 Multilevel Regression and
Post-Stratification
Jeff Lax, Neelanjan Sircar,
Noah Buckley, Andy Guess