Our hearts are broken this morning as we process another senseless act of violence in our community. Indianapolis @FedEx employees are frequent volunteers in our warehouse, giving back to their community and supporting those in need. Our deepest sympathies to all affected.
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The US invested in me ~$1M in education, grants, etc; my PhD, postdoc and career have been mostly US-funded.
After ~13y of contributions, I ended up within 3 months of becoming an illegal alien, while fully employed at a top US university.
This system is nuts.
Buick created the first car touchscreen on its model Riviera in 1986. The technology was dropped because customers found it onerous and distracting https://t.co/Mk8R3LyI3J [full video: https://t.co/Lci1TIcMpV]
📅 Fri, Aug 7, 2020, 3:30 pm — Ida B. Wells Just Data Lab, Virtual Open House — hosted by Prof. Ruha Benjamin (@ruha9)
The Lab is currently focused on rethinking and retooling data for justice. Learn more and Pre-register at: https://t.co/H1Nr6aND1l
This 1986 Puma shoe, R-Computer, had a microprocessor built into the heel to record your run and download the data on an Apple III or an IBM PC or a C64 https://t.co/s63pygFlDg
@FjbSerrano Spot on. Luckily there are research centers taking this stuff seriously (data & society, berkeley cltc/ctsp, uw center for informed public to name a few)
Paws what you're doing: Let's take a moment to appre-sea-ate the good good work Rosa the sea otter is doing to get ready for all of you to come back in a few weeks!
Five years ago today, I moved to the US to pursue an academic career and explore new research directions. Today, I'm overwhelmed by deep anxiety about the upcoming Executive Order suspending work visas including H-1B, which I've applied for. Speechless.
IBM has said it will stop developing or selling facial recognition software due to concerns the technology is used to promote racism. https://t.co/8OISgNMpYX
@sctyner Thanks for doing this, Dr. Tyner. Not sure if recent stuff is of interest; @safiyanoble's Algorithms of Oppression helped me understand how models embedded in new media (and their creators) led to harms we see today. Will look through some old syllabi for more stats-focused stuff