UIC scholar honored for work serving the ‘public good’
Barbara Ransby, a University of Illinois at Chicago historian, writer and activist, is the recipient of the American Studies Association’s 2018 Angela Y. Davis Prize for Public Scholarship, which recognizes scholars who have applied or used their scholarship for the betterment of society. The selective award acknowledges high-level work that “explicitly aims to educate the lay public, influence policies, or in other ways seeks to address inequalities in imaginative, practical, and applicable forms.”
New vice chancellor for research aims to support, highlight campus innovation
As UIC’s new vice chancellor for research, Joanna Groden aims to spotlight the groundbreaking and interdisciplinary work happening on campus. “UIC should be known for innovation and collaboration in research,” Groden said. “Our faculty are tremendously talented and also very willing to work with others. We have many institutes and centers that organize our research excellence in effective ways.”
New book details six decades of black politics, education reform
Fifty-five years ago this week, a massive boycott and demonstration, known as Freedom Day, was launched in opposition to segregationist policies of the Chicago Public Schools. For six decades, Chicago has been and continues to be at the center of the national debate over race and public education reform, said University of Illinois at Chicago historian Elizabeth Todd-Breland. In her new book, “A Political Education: Black Politics and Education Reform in Chicago Since the 1960s,” Todd-Breland details the city’s transformations in black politics, shifts in modes of education organizing, and the racial politics of education reform spanning the past 60 years.
NSF grant to fund advanced deep learning and visualization computing platform
The University of Illinois at Chicago has received a three-year, $1 million grant from the National Science Foundation to build a state-of-the-art computing platform that will incorporate multiple graphics processing units, as well as enable faculty and students to execute deep learning and visualization codes faster, apply more sophisticated models to large-scale problems, gain greater insights, accelerate discovery and open new avenues of research.