Isolat, a volunteer collaboration organized by the Institute for Data, Systems, and Society, informs coronavirus policy by analyzing data associated with the pandemic.

Researchers from New York University are designing AI algorithms to help predict COVID-19 outcomes.

Testing everyone for COVID-19 isn't realistic in a country the size of the US, but there are ways to design testing systems that can catch most of the cases.

Brian Anthony, co-leader of SENSE.nano, discusses sensing for augmented and virtual reality and for advanced manufacturing.

Report catalogs, analyzes available open-source publishing software; warns open publishing must grapple with siloed development and community-owned ecosystems.

General-purpose language works for computer vision, robotics, statistics, and more.

New EAPS thesis field is the most recent to join the computational science and engineering doctoral program within the Center for Computational Engineering.

Researchers find most fantasy sports are based on skill, not luck.