The iSchool is renowned for our world-class, groundbreaking research program. Our faculty, staff, and students are leaders in the field, recognized for their expertise and the impact of their scholarly contributions. Drawing on the resources of the University of Illinois, a preeminent public research university, as well as on collaborations with scholars around the world and corporate sector partners, our researchers conduct research in a variety of areas including data science, information retrieval, librarianship, and much more. Major funders include the Andrew W. Mellon Foundation, Institute of Museum and Library Services, National Endowment for the Humanities, Google, and the National Science Foundation.
Our Strategic Research Vision
Our researchers use multidisciplinary approaches to address key global challenges found at the intersection of people, information, and technology. Taken together, these six strategic visions present a distinct imprint of the substance and impact of our research.
Our faculty are engaged in cutting-edge research projects and receive grants from some of the nation’s most prestigious funders, including the Andrew W. Mellon Foundation, Institute of Museum and Library Services, National Endowment for the Humanities, Google, and the National Science Foundation. Currently, our grant-funded research portfolio totals more than $7.2 million in award dollars.
Our research enterprise is collaborative, involving not only our faculty, staff, and students but also interdisciplinary partners on campus and beyond. Each year, our faculty appoint a group of research fellows from around the world, who are chosen for the relevance of their work to our current research. Research at the School is well-supported by our Office of Research Services, who assist with grant proposal development, project planning and management, and research computing.
- Sentiment Analysis of Steam Review Datasets using Naive Bayes and Decision Tree Classifier
- Camera Model Identification with Convolutional Neural Networks and Image Noise Pattern
- Exploring the Benefits for Users of Linked Open Data for Digitized Special Collections, White paper #2: Analysis of Early User Feedback
- What the Heck is Blockchain and Should you Care?
- Discovering the Library in Science Textbooks: A Study of Representation