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The Computer Scientist Peering Inside AI’s Black Boxes
Cynthia Rudin wants machine learning models, responsible for increasingly important decisions, to show their work.
The Researcher Who Would Teach Machines to Be Fair
Arvind Narayanan uses quantitative methods to expose and correct the misuse of quantitative methods.
How Wavelets Allow Researchers to Transform, and Understand, Data
Built upon the ubiquitous Fourier transform, the mathematical tools known as wavelets allow unprecedented analysis and understanding of continuous signals.
A Computer Scientist Who Tackles Inequality Through Algorithms
Rediet Abebe uses the tools of theoretical computer science to understand pressing social problems — and try to fix them.
Chasing the Elusive Numbers That Define Epidemics
Most modeling efforts during the COVID-19 pandemic have sought to address urgent practical concerns. But some groups aim to bolster the theoretical underpinnings of that work instead.
The Hard Lessons of Modeling the Coronavirus Pandemic
In the fight against COVID-19, disease modelers have struggled against misunderstanding and misuse of their work. They have also come to realize how unready the state of modeling was for this pandemic.
The Computer Scientist Who Shrinks Big Data
Jelani Nelson designs clever algorithms that only have to remember slivers of massive data sets. He also teaches kids in Ethiopia how to code.
Cryptography Pioneer Seeks Secure Elections the Low-Tech Way
Ronald Rivest helped come up with the RSA algorithm, which safeguards online commerce. Now he’s hoping to make democratic elections more trustworthy.
How Geometry, Data and Neighbors Predict Your Favorite Movies
A little high school geometry can help you understand the basic math behind movie recommendation engines.