Socio-technical Data Analytics
Faculty, researchers and students in the Socio-technical Data Analytics Group design, develop, and evaluate new technologies in order to better understand the dynamic interplay between information, people and information systems.
We are a highly interactive group with complementary areas of interest that span a range of genres from the humanities and everyday life, to journalism and scientific literature. Our expertise includes analysis methods in information retrieval, data and text mining, knowledge discovery, and collaboration. In addition to text analysis, we explore multimedia such as games and music, and new kinds of data such as twitter feeds.
Find out about individual SODA projects by following links to the right, or you can view the SODA site
Contact
Catherine Blake (clblake@illinois.edu)
Associate Director, Center for Informatics Research in Science and Scholarship
Graduate School of Library and Information Science
University of Illinois at Urbana-Champaign
People
Jana Diesner
J. Stephen Downie
Miles Efron
Craig Evans
Henry Gabb
Brant Houston
Ana Lucic
Jerome McDonough
Peter Organisciak
Vetle Torvik
John M. Unsworth
Virgil E. Varvel Jr.
Wu Zheng
Recent Publications
Read moreSacchi, S., & McDonough, J. P. (2012). Significant Properties of Complex Digital Artifacts: Open Issues from a Video Game Case Study [poster]. Proceedings of the 2012 iConference (pp. 572-573). ACM. doi:10.1145/2132176.2132293
Read moreBlake, C. L. (2011). Text mining. In B. Cronin (Ed.). Annual Review of Information Science and Technology. v. 45.
Read moreEfron, M. (2010, July). Hashtag retrieval in a microblogging environment. Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, 787-788.
Read more
Projects
The goal of this program is to provide students with an understanding of both the social and technical aspects of data analytics to prepare the next generation of leaders who can work with big data. Classroom experience culminates with a hands-on practicum, project or research focus on any aspect of data analytics.
PI: Cathy Blake
Improving Information Retrieval by Analysis of Temporal Evidence in a Unified Model
Students funded under this project will work with closely the project leader, Miles Efron, to develop state-of-the-art search engines and related information retrieval (IR) technologies.
PI: Miles Efron
Collaborative Research: The Impact of Scientific Funding
Link MEDLINE articles and U.S. patents using state-of-the-art name disambiguation algorithms.
PI: Vetle Torvik
Defining and Solving Key Challenges in Microblog Search
Explore both theoretical models and prototype search systems to address core problems in microblog search.
PI: Miles Efron
Recent News
CIRSS-affiliated faculty member Jerome McDonough receives Best Paper Award
CIRSS-affiliated faculty member Jerry McDonough has received the Best Paper award in the Digital Media: Content and Communication track at the Hawaii International Conference on System Sciences (HICSS), held in Maui in January. His paper, "Knee...
Recent Events
The OAIS Reference Model emphasizes the need for archivists to monitor their designated community's level of knowledge and their common practices and tools for creating and using digital information. Unfortunately this model assumes an exis...
October 28 2009Metadata for a Web 2.0 Software Marketplace
The Mellon Foundation is interested in supporting the sharing of web services and academic software widgets, and they would like SEASR (the NCSA software environment for advancement of scholarly research) to be able to keep track of whose web service...
April 29 2009SEASR Analytics via Zotero
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