School of Information Sciences

iSchool faculty ranked as excellent for Fall 2017

Twenty iSchool instructors were named in the University's List of Teachers Ranked as Excellent for Fall 2017. The rankings are released every semester, and results are based on the Instructor and Course Evaluation System (ICES) questionnaire forms maintained by Measurement and Evaluation in the Center for Innovation in Teaching and Learning. Only those instructors who gave out ICES forms during the semester and who released their data for publication are included in the list.

Faculty and instructors appearing on the list include Bobby Bothmann, Nicole A. Cooke, Peter Darch, Jana Diesner, Damian Duffy, Jeff Ginger, Jeanne Holba-Puacz, Jimi Jones, Emily Knox, Kathryn La Barre, E.E. Lawrence, Jessica LeCrone, Rachel M. Magee, Kate McDowell, Melissa Salrin, Yoo-Seong Song, Michael Twidale, John Weible, Elizabeth Wickes, and Melissa Wong.

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Faculty receive promotions

The iSchool is proud to announce the following appointments: 

  • Masooda Bashir has been promoted to professor, 
  • Madelyn Sanfilippo has been promoted to associate professor with indefinite tenure, 
  • John Weible has been promoted to principal lecturer, and 
  • Elizabeth Wickes (MSLIS '16) has been promoted to senior lecturer. 
iSchool Building

He recognized as a University Scholar

Professor Jingrui He is one of five professors at the University of Illinois at Urbana-Champaign to be recognized as a 2026 University Scholar. The program honors faculty excellence and provides $15,000 to each scholar for three years to enhance their academic careers. 

Jingrui He

Ma receives NSF CAREER award

Assistant Professor Jiaqi Ma has received a National Science Foundation (NSF) CAREER award to develop new tools to understand how individual components of training data affect the behavior of large artificial intelligence systems. 

Jiaqi Ma

NSF backs new effort to secure scientific AI

As artificial intelligence becomes central to scientific discovery, researchers face a growing but often overlooked risk: the AI models, datasets, and automated systems they depend on can be compromised in ways that conventional cybersecurity tools are not designed to detect.

Anita Nikolich

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