Closed wrathofquan closed 7 months ago
Thanks, @wrathofquan for filling in the required details. What is the timeline you are operating concerning the new demog hub creation and the workshops you plan to run? I was assuming that you are looking at a new hub for Summer/Fall term. Is that a reasonable assumption?
As I said earlier in our call, creating a new hub would take some time given that we need to make a decision using our policy for new hub creation and put dev cycles to actually execute it. So, a tentative timeline would help with prioritization. Thanks
Hi @balajialg. Correct, since the semester is underway our timeline would target the Summer/~Fall~ term with ideally something we can start testing sometime in early-mid May 2023 for the workshop. Thank you again!
Sounds great @wrathofquan! I will circle back on this when we have some clarity. Thanks
Closing this issue
Summary
The Demography department has historically administered its own servers running Rstudio and Shiny for instruction. We have a great interest in provisioning a dedicated Demography Datahub for the department in the spirit of other departments/schools like eecs, biology, ischool, etc. This semester we've tried moving Rstudio labs and Shiny simulations from on-premise servers to the Berkeley R Datahub for a large (~300 students) course in Economic Demography-c175 and have had a great experience. Having a dedicated departmental hub would further empower our instructors to utilize the Jupyter ecosystem as the primary technology stack for computational social science instruction.
Other courses where instructors have expressed interest:
Demography 180: Social Networks (undergrad)
Demography 280: Social Networks (grad)
L&S 88: Demography (already a connector course)
Demography 110: Introduction to Population Analysis
User Stories
Instructors want to be able to present students with a reliable, seamless, and customizable data analysis environment with all course labs and scripts available in one place regardless of the hardware a student might have (ability to run in a browser is a big win).
Students want to be able to have low barrier to access to the data analysis environment so that they can focus on the concepts.
Course administrators (GSI, TA) want to be able to use tools like ngbitpuller to sync course materials in a github repository to Datahub and keep materials up to date.
Acceptance criteria
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.Important information
Tasks to complete