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Kristi Anseth, a distinguished professor and Tisone professor in the Department of Chemical and Biological Engineering at CU ÐßÐßÊÓƵ, has received one of the most prestigious recognitions in the life sciences.

The Research & Innovation Office (RIO) has unveiled its Spring Faculty Development and Workshop calendar for 2020. Faculty are encouraged to explore the full range of offerings for the rest of the semester.

The Franklin Institute announced today that Henry Kapteyn and Margaret Murnane would receive this year’s medal in physics—one of several awards handed out annually by the center named after scientist and founding father Benjamin Franklin.

The Global Engagement Resources website offers guidance and tools for anyone on campus navigating the increasingly complex issues that are inherent in being part of a global research and teaching university.

In a new study published in the journal Matter, CU ÐßÐßÊÓƵ engineer Wil Srubar and his colleagues describe their strategy for using bacteria to develop building materials that live and multiply—and might deliver a lower carbon footprint, to boot.

Ramon Brasser and coauthor Stephen Mojzsis, a professor in CU ÐßÐßÊÓƵ’s Department of Geological Sciences, think they have an answer to the question of why material from the inner and outer solar system didn’t mix from very early on in its history.

Members of the House Subcommittee on Antitrust, Commercial and Administrative Law hosted their first field hearing in a decade in the University of Colorado Law School’s Wittemyer Courtroom.

Executives from four companies feeling hamstrung by big tech aired their grievances in front of members of the House Subcommittee on Antitrust, Commercial and Administrative Law in the University of Colorado Law School’s Wittemyer Courtroom.

Using algorithms originally developed for financial forecasting, Arpeggio's technology reconstructs the biological network that a drug affects and identifies the genes critical for the success or failure of a drug.

Using algorithms originally developed for financial forecasting, Arpeggio reconstructs the biological network a drug affects and identifies the genes critical for the success or failure of a drug.