Throughout the year, we teach workshops regularly about different R packages, Python libraries, or computational processing tools. In addition to these, we are also able to teach custom workshops to other research groups or classes. We have collaborated with other research groups to teach tools like MaxQDA, Leximancer, and LIWC (for inquiries on custom workshops, please contact firstname.lastname@example.org).
Resources from our 2018-2019 workshops can be found here.
Meet our Master Trainers
Students who have presented two or more unique workshops are considered Master Trainers. In the 2018-2019 year, we had five Master Trainers:
Spring 2019 Workshops
|Feb 1||Text Analysis II – quanteda||quanteda (R)|
|Feb 8||CANCELLED (Flooding)|
|Feb 15||Reporting Results – LaTeX||LateX|
|Feb 22||Intro to Python, Syntax and Data Structures||pandas (Python)|
|Mar 1||Unsupervised ML – LDA Topic Modeling||topicmodels (R)|
|Mar 8||Crossroads – No Meeting|
|March 15||No Meeting|
|March 22||Spring Break – No Meeting|
|March 29||Unsupervised ML – Structural Topic Modeling||stm (R)|
|April 5||Network Analysis||igraph, ggnet (R)|
|April 12||No Meeting|
|April 19||Advanced NLP||cleanNLP (coreNLP + spaCy) (R)|
|May 3||Machine Learning||caret (R), Python package [tbd]|
For more information about what we have taught, please visit our blog.
We teach these workshops regularly. For more information, please contact the research group lead.
- MediaCloud tutorial (1 hour)
- rvest (R) tutorial (1.5 hours)
- LIWC and Diction tutorial (2 hours)
- tidytext (R) tutorial (2 hours)
Occasionally, we will run “boot camps”, which are multi-day workshop series about a quantitative or computational method.
Our first boot camp covered time series methodology and was facilitated by Josephine Lukito and Jordan Foley (March 11-13, 2019).
In addition to teaching our own workshops, we often host workshops from other research groups. We have hosted the following workshops: