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The cell is equipped with multiple redundancies in case something goes wrong. Researchers have begun to map these systems.

Researchers have used the gene-editing tool CRISPR to manipulate the way that DNA coils up inside the cell — another step in the quest to understand how the genome’s 3-D structure impacts its function.

Aside from potential clues gleaned from a fluke result, it would take hundreds of U.S. presidential elections to definitely conclude that one election forecasting model is superior to another.

In a monumental set of experiments, spread out over nearly two decades, biologists removed genes two at a time to uncover the secret workings of the cell.

Quanta Magazine invites readers to share about their early math and science learning experiences and to explore the interactive survey results.

The theoretical particle physicist Helen Quinn has blazed a singular path from the early days of the Standard Model to the latest overhaul of science education in the United States.

Presidential election forecasts are historically successful and appear to be highly precise. Yet they’re often contradictory. What would it take to trust them?

Science is a constantly changing, self-correcting process. Why do we teach it as a collection of old, settled facts?

The impasse in math and science instruction runs deeper than test scores or the latest educational theory. What can we learn from the best teachers on the front lines?