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 can 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.
Bayesian Multi-Level Modeling Workgroup
Time: Fridays, 11AM - 12PM | Watson Library Room 455
Leader: Paul Johnson, CRMDA Director <email@example.com>
This group will develop examples and workshop notes for an overview of Bayesian research methods and applications to multi-level ("mixed effects") models.
If/when you attend one of the Workgroup sessions, please register your attendance by filling out this form: bit.ly/bayesworkgroup. Your participation is greatly appreciated!
Python Text Analysis Workgroup
Time: Fridays, 1-2 PM | Watson 503A
Last Instructional Day: 4/20
Last Project Development Day: 4/27
Leader: Jonathan P. Lamb, CRMDA Faculty Fellow <firstname.lastname@example.org>
This workgroup is designed for anyone who wants to learn digital text analysis and integrate it into their research (particularly humanities research). In the Spring semester, we will alternate between instructional days and project development days. Participants may use their own computers or they may use loaner Macbooks made available by the Institute for Digital Research in the Humanities (IDRH). Everyone is welcome in this group; no prior programming experience is required.
Please feel free to ask questions by sending an email to Jonathan Lamb <email@example.com>.
Github repository: https://github.com/jonathanlamb/workgroup.
Spatial Statistical Analysis Workgroup
Time: Fridays, 12-1 PM (alternate weeks) | Watson Library Room 455
Leader: Jacob Fowles, CRMDA Faculty Fellow <firstname.lastname@example.org>
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.
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".