Weekly Data/DH Drop-Ins
Faculty and staff: Need help working with data and not sure where to go? Every Wednesday 3-4:30, faculty and staff who work with data from a range of expertise hold drop-in hours in the QRC. You’ll find the Digital Humanities team, academic technologists, data librarians, and the QRC director there, all in one place. Get help with your research, brainstorm course assignments, and meet other people working with data and DH across campus.
Faculty
The Quantitative Resource Center director provides support to faculty who teach quantitative skills and reasoning across the curriculum. Email Lin Su to set up:
- Consultations on curriculum, pedagogy, and evaluation related to quantitative skills and reasoning (Template for brainstorming a new QRE course)
- Guest lectures on QR topics including: reading graphs and tables, exploratory data visualization, writing about numbers, and designing data visualizations for presentation
- Coordinating collaborations with other departments and offices on campus
- Student access to lessons and practice problems for common foundational skills through the ALEKS platform
- Professional development ideas for faculty and staff related to quantitative skills and reasoning
If you would like to receive email notifications about QR-related events (internal and external) that Lin finds interesting, join the Google Group listserv here.
Staff
- Are you a staff member who collects or reports on data for your office? The first Tuesday of every month during common time, the QRC Director is available to consult on communicating about data more effectively. Staff can bring data, graphs, previous presentations, or reports, or just come to brainstorm new data-related projects. Drop by the QRC or Zoom.
- Data/DH Drop-in hours: Working with data and not sure where to go? The QRC hosts weekly drop-ins with data librarians, academic technologists, QRC staff, and Digital Humanities, so you can get help with any stage of the data cycle. Visit the QRC Event Calendar for the most up-to-date schedule.
- Contact Lin for help with data collection and basic data analysis