A Google Group for our Workgroups
A Google Group named "CRMDA-workgroups" is being used to aggregate the activities of these workgroups. At the bottom of this page is the full calendar for Workgroup sessions.
If you would like to join, request an invitation using your Google account. Go to https://groups.google.com and search for "CRMDA-workgroups". Or you contact one of the group leaders directly and they can add you to the list.
Having trouble accessing Google? Read below for instructions
If you are having trouble accessing Google and requesting an invitation, please fill out THIS FORM to be added to the group list and receive notifications for upcoming Workgroup sessions.
Python Text Analysis
Time: Fridays, 12-1 PM | Watson 410A, Digital Humanities Instruction Lab
Leader: Jonathan P. Lamb, CRMDA Faculty Fellow <email@example.com>
This workgroup is designed for anyone who wants to learn digital text analysis and integrate it into their research (particularly humanities research). In the Fall semester, we will work through a series of Python tutorials to teach everyone the basics of digital text analysis. In the Spring semester, depending on the constitution of the group, we will work togehter to develop more advanced projects. Participants may use their own computers, or they may use loaners made available by the Institute for Digital Research in the Humanities (IDRH). Please feel free to ask questions by sending an email to Jonathan Lamb <firstname.lastname@example.org>.
At the current time, the last full group meeting for this semester will be on 12/1. The workgroup will resume for the Spring semester starting 1/19.
Spatial Statistical Analysis
Time: Fridays, 12-1PM (alternate weeks) | Watson Library Room 455
Leader: Jacob Fowles, CRMDA Faculty Fellow <email@example.com>
Spatial regression models have become increasingly popular across the social sciences. Despite the growing popularity, there are a number of unresolved issues with respect to how spatial models should be specified, estimated, and interpreted. This workgroup will explore recent developments for estimating spatial regression models using cross-sectional and panel (cross-sectional time series) datasets in a largely applied setting. While the group will invariably discuss how different software packages (including R, Stata, and ArcGIS) can facilitate the creation and visualization of spatial data, these topics will only be discussed in the context of serving as a precursor to estimating spatial models. Participants are expected to have a strong working knowledge of non-spatial regression and related estimation approaches and either past experience or concrete plans to apply spatial econometric methods in their own research.
Meeting dates are 12/1 and 12/8.
Bayesian Analysis Workgroup
Time: Friday, 11AM - 12PM (alternate weeks) | Watson Library Room 455
Leader: Jonathan Templin, CRMDA Faculty Fellow <firstname.lastname@example.org>
Bayesian statistical analysis is increasingly widely used in social, educational, and physical sciences. This group explores example applications and compares various computational strategies.
Meeting dates are 12/1 and 12/8.
Time: Fridays, 11AM - 12PM (alternates with Bayesian Workgroup) | Watson Library Room 475 (may re-locate)
Leader: Paul Johnson, CRMDA Director <email@example.com>
This group will develop working examples for usage high performance computing (HPC) systems. We will revise existing working examples for HPC (parallel-programs) and develop new examples. The selection of new projects is driven by the needs of the group participants.
Below is the Aggregated Calendar of Workgroup Schedules
CRMDA-workgroups: a Google-Group!
The calendar shown above lists events, but the messages about group activities are aggregated in a separate place, a Google Group named "CRMDA-workgroups".