Nameless Sound musicians performed an original score on Nanibah Chacon’s interactive installation following Danza Azteca Macuilxochitl's activation of...
Three Rice faculty members from the Department of Earth, Environmental and Planetary Sciences have recently been honored with career awards, showcasin...
The Science and Technology Policy Program at Rice’s Baker Institute for Public Policy hosted a “science cafe” Oct. 13 to bring research to reality and...
The Doerr Institute for New Leaders at Rice has launched CoachRICE: Team Coaching, a new professional education program designed to help coaches, mana...
Scholars, curators and filmmaker Daphne Di Cinto gather at Rice to explore Black histories from Renaissance Italy to medieval Africa and Islamic world...
For the sixth fall in a row, Rice welcomed a new group of researchers to STaRT@Rice, giving emerging researchers both the skills and the support to gr...
Rice and the Houston Methodist Research Institute have signed a memorandum of understanding with LSE Health at the London School of Economics and Poli...
Rice University professor Tomás Morín has won a 2022 Guggenheim Fellowship, an honor bestowed annually by the John Simon Guggenheim Memorial Foundation to a slate of the world’s top scholars, artists, writers and scientists.
Luay Nakhleh, the William and Stephanie Sick Dean of the George R. Brown School of Engineering, toured the construction site of the new Engineering and Science Building on April 5.
The James A. Baker III Prize for Excellence in Leadership will be awarded to Austin Tice, an American journalist taken hostage in Syria nearly a decade ago, during an April 13 ceremony at Rice University’s Baker Institute for Public Policy. Marc and Debra Tice, his parents, will accept the honor on his behalf.
A multidisciplinary team led by Todd Treangen, an assistant professor of computer science, computer science graduate student Nick Sapoval and postdoctoral researcher Amirali Aghazadeh has published an open-access review paper in Nature Communications on the advances and limitations of deep learning as applied to the biosciences.