Research Workshop Series

LATIS offers a series of workshops created by our experts that are free and open to all faculty and graduate students. Join our LATIS Research Workshops Google Group to be the first to learn about workshops.

Atlas ti

Friday, Oct 20, 2017 I 9:30 a.m. – 12 p.m. I  50b Humphrey I Register

Atlas.TI is a long-standing qualitative analysis program, used to organize, tag, and analyze a variety of research materials including text, audio, and visual sources. This workshop will give an introduction to the major functions and uses of this research tool including: source material organization, codes and coding strategies, querying your materials, grouping and stored queries or super codes, backing up and sharing your project, and working collaboratively. (No prior experience with Atlas.TI is necessary.)

Qual Data Collection

Friday, Oct 27, 2017 I 9:30 a.m. – 12 p.m. I  50b Humphrey I Register

There are many ways to gather qualitative data from people and textual sources and a host of tools to make the process easier. This workshop will focus on the strategies, techniques, and useful tools for qualitative data collection, ranging from archival work to ethnography, interviews and other types of field work. For instance, we’ll look at using mobile devices like phones and tablets and relevant apps (OneNote, annotation, scanning, Atlas.ti, etc), cover strategies for photographing text for computer legibility, and discuss data security and protecting your research participants.

Intro to Research Computing

Friday, Nov. 3, 2017 I 9:30 a.m. – 12 p.m. I  50b Humphrey I Register

This workshop provides participants with an overview of the methods, software, and hardware resources that are frequently used in research computing. The primary goals are to help participants determine what types of tools might be useful in their research or instruction, and to provide a primer on tools common in most workflows (e.g., Git, Jupyter notebooks, and PBS). The workshop will be part lecture, part open discussion, and part hands-on, practice so please bring your laptop.

Data from the Web

Friday, Nov. 10, 2017 I 9:30 a.m. – 12 p.m. I  Hanson Hall 1-108 I Register

The internet is full of information waiting for exploration - from social media, to newspaper comments, to digitized archives. How do you begin gathering this kind of data? This workshop will introduce participants to browser-based tools for web-scraping (including GetThemAll and Scraper) and Facepager, a tool for gathering information from Twitter, Facebook, and other social media sites. No experience with these tools is necessary, and participants do not need to have any coding skills.

Qual for Transparency

Friday, Nov. 17, 2017 I 9:30 a.m. – 12 p.m. I 50b Humphrey I Register

This workshop will focus on the key stages of a qualitative research workflow and discuss strategies for improving your documentation of the analysis process. Good documentation practices will assist in both drafting final manuscripts as well as in meeting journal transparency/reproducibility standards. We’ll discuss both tools and techniques for memoing, defining concepts, creating codebooks, and clarifying analytical decisions.

Workflow in Python

Friday, Dec. 1, 2017 I 9:30 a.m. – 12 p.m. I 50b Humphrey I Register

The goal of this workshop is to introduce Python as a tool for creating effective research workflows in the social sciences. Topics covered include automating data acquisition, acquiring and storing data from the web, as well as early-stage exploratory data analysis and consuming data in Python. Knowledge of the topics covered in this workshop is not assumed, though it is expected participants have some knowledge of basic Python concepts and syntax.


Friday, Dec. 8, 2017 I 9:30 a.m. – 12 p.m. I 50b Humphrey I Register

Attendees will learn how to create aesthetically pleasing documents for publication on the web or in print. The workshop focuses on two popular markup languages, Markdown and LaTeX, as well the similarities, differences, and pain points associated with each. Participants will also learn how Markdown and LaTeX can be integrated into reproducible reports using R.