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School of Information Sciences
The School of Information Sciences at Illinois is recognized as a premier institution, consistently ranked as one of the nation’s top library and information science schools. For more than 120 years, the iSchool has prepared students for careers as leaders in information professions and research. As one of the oldest LIS schools in the country, the School was instrumental in developing the methods used in library and information science today. 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 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, using multidisciplinary approaches to address key global challenges found at the intersection of people, information, and technology.
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Research and publications from the Center for Informatics Research in Science and Scholarship
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Publications and Research from the Community Informatics Research Lab
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Lightning talks and posters from the iSchool at Illinois' annual master's student showcase
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Presentations and lectures sponsored by the School
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Publications of the iSchool Publications Office
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A new digital scholarly publishing initiative from the University of Illinois.
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Publications and research, including dissertations and theses, of iSchool students
Browse Collections of Items
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Presentations, publications, and curriculum material for the DCEP at the iSchool
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Articles, papers, and other research and scholarship from iSchool faculty and staff
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Recent Additions
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(University of Oulu, Finland, 2019)This e-zine documents the discussions and group work done at the ‘Infrastructuring in Participatory Design’ workshop, a full-day event that took place at the Participatory Design Conference 2018 in Hasselt and Genk, Belgium. ...
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(2018-12-03)Recently, music complexity has drawn attention from researchers in the Music Information Retrieval (MIR) area. In particular, computational methods to measure music complexity have been studied to provide better music ...
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PDF (1MB)
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(Conference on Statistical Learning and Data Science / Nonparametric Statistics, 2018-06-05)The world of movies contains enormous information and is worth digging for prediction and recommendation. IMDB database is one good example for extracting the relevant features, including both the item-based information ...
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PDF (652kB)
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(2018)This paper reported part of the findings from a study conducted to understand how participants build and maintain social capital through group communication on WhatsApp. We collected data from 75 participants who were ...
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PDF (271kB)
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