Watching the Ken Burns documentary on the Dust Bowl, I am struck by how the history of the United States can be traced through a sequence of epic speculations, scams, and crashes.
This country is so much more, but it is forever scamming, forever being scammed, and forever trying to remediate the consequences. The hope and optimism that make us so capable and future-thinking also make us endlessly vulnerable.
Scholars: what you trying in order to organize & support networks of community among emerging scholars?
Today across the extended CAT Lab network, we had a revealing conversation; gradstudents reported that microblogging platforms exposed them to risk/harassment with little reward, and that they were unsure how to find peers & community elsewhere, aside from becoming an "influencer," which only some found palatable.
Are you seeing the same? What can we do about this?
Exam day. 250 students, roughly 40% of whom are sick, quarantined, fall under the max-of-2-exams-in-a-day policy, or have disability-related accommodations.
An avalanche of email.
This isn't sustainable.
I suspect the # of emails per student would be even higher w/ other forms of assessment (e.g., individual or group projects), both because students are less familiar with the task and because less structured assessments tend to have less structured rubrics and more back-end regrade requests.
“The infusion of optimism—whether it comes in the guise of some of these techniques that are a little bit shady or not—is really valuable”
Complicated real-talk from @cydharrell in this wonderfully in-depth look at the shallow legacy of Design Thinking by @rebackermann
https://www.technologyreview.com/2023/02/09/1067821/design-thinking-retrospective-what-went-wrong/
Inequality in computer science is deeply inter-related with subfield prestige, according to a new paper.
The most diverse subfields are the lowest prestige, on average, and least hired into high prestige departments.
Article by @nick @hneutr @alliecmorgan @sz @DanLarremore and @aaronclauset
"We find evidence for pervasive racial disparities [in NSF funding]. In particular, white principal investigators (PIs) are consistently funded at higher rates than most non-white PIs. Funding rates for white PIs have also been increasing relative to annual overall rates with time"
New paper by Christine Yifeng Chen & collaborators
J. Nathan Matias 🦣
Tarleton Gillespie
WeedenKim
Bethany Nowviskie
