Though majority vote among annotators is typically used for ground truth...
Early warning systems (EWS) are prediction algorithms that have recently...
Dynamic benchmarks interweave model fitting and data collection in an at...
Machine learning (ML) techniques are increasingly prevalent in education...
The U.S. criminal legal system increasingly relies on software output to...
Rotating savings and credit associations (roscas) are informal financial...
As machine learning and data science applications grow ever more prevale...
While most mortality rates have decreased in the US, maternal mortality ...
A recent normative turn in computer science has brought concerns about
f...
We consider the design of randomized mechanisms for one-sided matching
m...
Across various domains--such as health, education, and housing--improvin...
The lack of comprehensive, high-quality health data in developing nation...
Networks provide a powerful formalism for modeling complex systems, by
r...
A long line of work in social psychology has studied variations in peopl...
In traditional models for word-of-mouth recommendations and viral market...
In the classical cake cutting problem, a resource must be divided among
...