This article is adapted from Voices in the Code: A Story About People, Their Values, and the Algorithm They Made, out Sept. 8 from Russell Sage Foundation Press. In May 2021, I got a call I never ...

Receiving a heart transplant is a matter of life and death for many patients. Every time a heart becomes available, a “match run” is created to generate a list of transplant candidates ranked by an ...

Online algorithms are central to solving resource allocation and matching challenges in dynamic environments where decisions must be made without complete knowledge of future events. Research in this ...

Kidney transplantation (KT) is a superior alternative to dialysis for many patients with respect to longevity, quality of life, morbidity, and the cost of End-Stage Renal Disease (ESRD) care. However, ...

Over the course of six months in 2016, writer James Bloodworth worked for four companies: Amazon, in one of its warehouses; a home-care provider; insurer Admiral’s call centre; and Uber. Drivers for ...

Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the ...

The rate of offers per candidate represents a threefold increase compared with 2015. (HealthDay News) — The number of kidney transplants performed annually in the United States has increased steadily, ...