Downie to give keynote at digital scholarship symposium

Stephen Downie
J. Stephen Downie, Professor, Associate Dean for Research, and Co-Director of the HathiTrust Research Center

Professor and Associate Dean for Research J. Stephen Downie will be the keynote speaker for Digital Scholarship Symposium 2019, which will be held on March 19 at The Chinese University of Hong Kong (CUHK). The theme of this year's symposium is "(Re-)Mining Text: From Traditional to Digital." Co-organized by the Hong Kong Literature Research Centre and CUHK Library, the event aims to explore techniques and applications of text mining in the era of digital scholarship.

Downie is codirector of the HathiTrust Research Center (HTRC), a collaboration between the University of Illinois, Indiana University, and the HathiTrust to enable advanced computational access to text found in the HathiTrust Digital Library.

In his keynote presentation, "HathiTrust Research Center: Creating New Opportunities in Support of Scholarly Text Mining," he will discuss how technological, content, legal, social, and human factors shape HTRC’s services. The talk will highlight some of HTRC’s text mining and analysis tools, including the Data Capsule virtual computing environment and the Bookworm trends analysis tool, as well as HTRC's Advance Collaborative Support and other outreach programs. He will also introduce the Extracted Feature datasets that provide users with the freedom of "open data" while still respecting HTRC’s non-consumptive imperatives.

On March 20, Downie will give the talk, "Library and Information Science Education in the Age of Big Data," to the Hong Kong Library Association. He will reflect upon his experiences as an educator, researcher, and administrator at Illinois; discuss efforts to create educational programs designed to equip students with the skills necessary to succeed in a big data environment; and share his insights as well as suggestions for future strategies and goals.

Downie holds a bachelor's degree in music theory and composition, along with master's and doctoral degrees in library and information science, all from the University of Western Ontario.

Updated on
Backto the news archive

Related News

Trainor receives the Karen Wold Level the Learning Field Award

Senior Lecturer Kevin Trainor has been selected by the Division of Disability Resources and Educational Services (DRES) to receive the 2024 Karen Wold Level the Learning Field Award. This award honors exemplary members of faculty and staff for advocating and/or implementing instructional strategies, technologies, and disability-related accommodations that afford students with disabilities equal access to academic resources and curricula. 

Kevin Trainor

Seo coauthors chapter on data science and accessibility

Assistant Professor JooYoung Seo and Mine Dogucu, professor of statistics in the Donald Bren School of Information and Computer Sciences at the University of California Irvine, have coauthored a chapter in the new book Teaching Accessible Computing. The goal of the book, which is edited by Alannah Oleson, Amy J. Ko and Richard Ladner, is to help educators feel confident in introducing topics related to disability and accessible computing and integrating accessibility into their courses.

JooYoung Seo

iSchool instructors ranked as excellent

Fifty-five iSchool instructors were named in the University's List of Teachers Ranked as Excellent for Fall 2023. 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. 

iSchool Building

ConnectED: Tech for All podcast launched by Community Data Clinic

The Community Data Clinic (CDC), a mixed methods data studies and interdisciplinary community research lab led by Associate Professor Anita Say Chan, has released the first episode of its new podcast, ConnectED: Tech for All. Community partners on the podcast include the Housing Authority of Champaign County, Champaign-Urbana Public Health District, Project Success of Vermilion County, and Cunningham Township Supervisor’s Office.

Community Data Clinic podcast logo

New study shows LLMs respond differently based on user’s motivation

A new study conducted by PhD student Michelle Bak and Assistant Professor Jessie Chin, which was recently published in the Journal of the American Medical Informatics Association (JAMIA), reveals how large language models (LLMs) respond to different motivational states. In their evaluation of three LLM-based generative conversational agents (GAs)—ChatGPT, Google Bard, and Llama 2—the researchers found that while GAs are able to identify users' motivation states and provide relevant information when individuals have established goals, they are less likely to provide guidance when the users are hesitant or ambivalent about changing their behavior.