Join the Social Computing Working Group for a conversation with Rochelle Terman. Rochelle will present on the life cycle of a text analysis project using data from New York Times coverage of women around the world. How does the American media represent women abroad, and how do these representations vary across world region?
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This is an archive of our past training offerings. We are looking to include workshops on topics not yet covered here. Is there something not currently on the list? Send us a proposal.
This workshop assumes a basic familiarity with R, specifically with respect to adding columns and subsetting dataframes. In this workshop we will cover the following topics: 1) summarizing patterns of data in dataframes; 2) basic plotting of data; and 3) techniques for how to create professional-looking plots to illustrate data patterns.
Zotero is a powerful, open-source reference management tool. For the first hour, the presenter will demonstrate the key Zotero features: importing and creating new references; managing references; inserting citations into a manuscript; and formatting bibliographies in hundreds of styles. The demonstration will be followed by a 30-minute question-and-answer session.
This 3-hour Stata workshop is designed for people who have already taken D-Lab's 'Beginning Stata' workshop or have some significant previous experience with Stata. Students will learn:
The goal of this workshop is to cover the basic steps and considerations for creating a GIS based on a historical map and historical address data. We will use ArcGIS 10.2 to create the GIS. We will also use OpenRefine — a free, open-source text refiner — in order to clean the data that we will geocode.
This workshop covers how to organize and analyze qualitative data in Atlas.TI. Both researchers new to qualitative methods and experienced qualitative researchers are encouraged to attend.
Join the Qualitative Methods Group (QMG) for a conversation with Dr. Carolina Reid on integrating quantitative data in qualitative research. Dr. Reid will share examples from her own research on integrating qualitative and quantitative methods.
This 2-hour workshop will provide a comprehensive overview of graphics in R. Participants will learn how to construct, customize, and export a variety of plot types using base graphics, lattice, and ggplot2. Previous experience with R is assumed.
Join the Social Computing Working Group for the first in a series of related workshops. This workshop will feature two topics and will allow for discussion and coworking time.
The concept of digital humanities is so loosely defined that at the moment it tends to absorb a number of other debates. In literary studies, for instance, the projects of surface reading and especially distant reading are often conflated with "DH," although computers play only a supporting role in much of this scholarship.
How do we actually go about fitting new digital methods into a literary article? Can we take our existing questions about literary history and just "add some digital tools to them"? Or do we really have to back up and change the way we're framing our questions -- in order to consider, for instance, a larger archive?
This 2-part workshop will cover (in a teaching computer lab environment, using the General Social Survey as a common dataset):
DAY ONE
This 2-hour workshop is geared towards applied researchers looking to use R for basic data analysis. It will introduce participants to the basics of data manipulation (notably using plyr and reshape2), regression, and regression diagnostics. The workshop will also briefly cover packages for data visualization (including lattice and ggplot2), matching, and data imputation.
This workshop presents an overview of what it means to conduct survey research using traditional as well as some new technologies. For anyone who is considering embarking upon a quantitative data collection project for the first time (or second, or third…) this will give you a foundation to understand what you need to learn. Because survey research is built upon over 100 years of experimental
This 2-hour workshop introduces the basics of data analysis in R, a powerful and free open-source programming environment. You will learn the core properties of the R programming language through step-by-step examples and scaffolded exercises with data provided by the instructor.
This introductory workshop will introduce attendees to the reason for using a qualitative data analysis package for the coding and analysis process. We will begin by discussing the distinction between coding and analysis, the benefits of using a QDA package, and then view a brief demonstration of a specific program.
Join the Qualitative Methods Group (QMG) for a conversation with Ariel H. Bierbaum on preparing for and coming back from field work. Ms. Bierbaum, an advanced graduate student in City and Regional Planning, will share her experience with a semester of dissertation field work in Philadelphia on public school closures, neighborhood change, and broader patterns of metropolitan inequality.
This 2-hour workshop introduces the basics of data analysis in R, a powerful and free open-source programming environment. You will learn the core properties of the R programming language through step-by-step examples and scaffolded exercises with data provided by the instructor.
Geospatial data are fundamental in many fields of science. R, while far from being a user-friendly GIS platform, has become increasingly capable of managing, processing, and analyzing spatial data. In this workshop, we will go over the fundamentals of working with spatial data in R. We look at the most common data classes used to store vector and raster data, and learn how to manipulate them.
This orientation workshop is designed to familiarize researchers with the D-Lab and the range of social science methods and software it supports through training and consultation.