Data

Rediet Abebe uses the tools of theoretical computer science to understand pressing social problems — and try to fix them.

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.

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.

Jelani Nelson designs clever algorithms that only have to remember slivers of massive data sets. He also teaches kids in Ethiopia how to code.

Ronald Rivest helped come up with the RSA algorithm, which safeguards online commerce. Now he’s hoping to make democratic elections more trustworthy.

A little high school geometry can help you understand the basic math behind movie recommendation engines.

Promising efforts at disentangling the effects of genes and the environment on complicated traits may have been confounded by statistical problems.

Just how fast can the fastest human run? This adapted book excerpt from Infinite Powers reveals how calculus helps us investigate the nature of motion and change.

By reconstructing prehistoric food webs and analyzing the diverse interactions of humans with other species, the ecologist Jennifer Dunne is developing a new understanding of sustainability through network science.