
Sign up to save your podcasts
Or


To deal with the massive logistical problem of distributing COVID-19 vaccines, the federal government and some states are turning to private companies to create algorithms for prioritizing shipments. Some hospital systems, like George Washington in D.C. and Stanford in Palo Alto, California, created their own software systems to prioritize which health care workers get it first. In Stanford’s case, we now know the process went notoriously wrong, prioritizing doctors and administrators working remotely over residents working directly with patients every day. We wondered, is vaccine allocation a problem algorithms are meant to solve, or are officials letting algorithms take the blame for built-in inequality? Molly speaks with Karen Hao, who reported on this for the MIT Technology Review.
Your support makes our podcast possible — become a Marketplace Investor today to keep us going strong.
By Marketplace4.4
7777 ratings
To deal with the massive logistical problem of distributing COVID-19 vaccines, the federal government and some states are turning to private companies to create algorithms for prioritizing shipments. Some hospital systems, like George Washington in D.C. and Stanford in Palo Alto, California, created their own software systems to prioritize which health care workers get it first. In Stanford’s case, we now know the process went notoriously wrong, prioritizing doctors and administrators working remotely over residents working directly with patients every day. We wondered, is vaccine allocation a problem algorithms are meant to solve, or are officials letting algorithms take the blame for built-in inequality? Molly speaks with Karen Hao, who reported on this for the MIT Technology Review.
Your support makes our podcast possible — become a Marketplace Investor today to keep us going strong.

30,609 Listeners

8,801 Listeners

941 Listeners

1,390 Listeners

1,290 Listeners

3,228 Listeners

1,713 Listeners

9,724 Listeners

1,649 Listeners

5,480 Listeners

113,121 Listeners

1,448 Listeners

9,556 Listeners

10 Listeners

35 Listeners

5,576 Listeners

16,525 Listeners