2022 Research Showcase

colorful design

Each year, the Research Showcase shares human-centered, interdisciplinary research that connects people with technology to achieve their goals. It focuses on socially relevant topics through the keynote speech and a series of short presentations and posters.

2022 Research Showcase
Wednesday, November 9, 2022
12:00-4:30 p.m.
Illini Rooms A & B, Illini Union
1401 W. Green Street, Urbana

Schedule of Events

12:00 – 1:00 p.m. Poster Session I 
1:00 – 1:30 p.m. Keynote Speaker
1:30 – 2:15 p.m. Presentation Session I
2:15 – 2:45 p.m. Break
2:45 – 3:30 p.m. Presentation Session II
3:30 – 4:30 p.m. Poster Session II 


Dana Mckay, Senior Lecturer, Innovative Interactive Technologies, at RMIT University, Australia, and George Buchanan, Associate Professor, Computing and Information Systems, University of Melbourne will deliver the keynote, "More Comfortable with Chaos: The Case Against Search in a Beautiful World."

Abstract: Search engines have been designed to project us toward the one right answer, to quickly and carefully filter out the chaff, and give us the one perfect grain of wheat. They are designed this way because the internet is seen as a chaotic and untameable place, and search engines are our friend and guide through the mess. The problem with this approach is that, as human beings, we inherently need a little chaos. It is in chaos that we experience serendipity, change our minds, make new connections, form new ideas, and solve complex problems. A little chaos can be just the nudge we need to turn away from a rabbit hole full of misinformation, or to create something new. The challenge, of course, is finding just the right amount of chaos—nothing good comes of being overwhelmed and unable to think, and search as a paradigm has been a response to this. In this talk we make the case against search and the one right answer in a digital world, and describe ways to limit chaos to the exciting, rather than terrifying. We hope to provoke thought about information as a source not just of answers, but also of beauty and truth.

Presentation Session 1

Patron Privacy Protections in Public Libraries
Masooda Bashir, Tian Wang, Chieh-Li Chin, Christopher Benner, Carol M Hayes, Yang Wang

PATH-BLAZERS: Black PhDs in Library and Information Sciences Past and Present 1941-2022
Halimah Shabazz Wade

“Corporate Innovation Labs: Exploring the Role of University Research Park Innovation Lab Leaders”
David Charles

Toward a Principled Understanding of Trustworthy AI
Haohan Wang

Presentation Session 2

Ethics of Information Consent
Chris Wiley

Disability-First Design and Creation of a Dataset with Private Visual Information Collected With People Who Are Blind
Tanusree Sharma, Yang Wang

Designing for Engaging Health Information Learning: Voice User Interfaces, Older Adults, and Interactive Storytelling
Smit Desai, Morgan Lundy, Jessie Chin

Data Storytelling Toolkit for Librarians
Kate McDowell, Matt Turk


Dignifying Digital Connection - Broadband Equity in Illinois
Anita Chan, Tracy Smith, Kainen Bell, Jorge Rojas, Chieh-Li “Julian” Chin

Community Research Cooperative: Technology Fellows Program
Anita Chan, Katie Shumway, Amy Leman, Rachel Magee, Lisa Mercer

Turtles, Birds, and Polar Bears, Oh My! A Teen-Focused Analysis of Climate Change and Social Media
Daniela M. Markazi

Viral Dance Medicine: Exploring What’s Good #ForYou on TikTok
David Eby

"Where Life is Precious": Towards Reproductive Justice for Library and Information Sciences [1st place poster]
Emily Fishkin

Algorithmic unfairness mitigation in student models: When fairer methods lead to unintended results
Frank Stinar, Nigel Bosch

Marginal Contribution on Consistent Query Answering in Relational Database
Gaozheng Liu

Towards Centering Youth Voices in Collaborative Research with Youth Service Organizations [2nd place poster]
Gowri Balasubramaniam, Rachel Magee, Amy Leman

Detecting Voice in News Headlines
Hannah Smith

Public Participation in the Peer Review Process of Scientific Journals: Models, Peers, and Concepts
Janaynne Carvalho do Amaral

Educating pre-service school librarians about race, racism, and whiteness [3rd place poster]
Julia Burns Petrella

Modeling Prototypicality of genre concepts based on machine learning and c@1-score
Julian Schroeter

Mining Anomalies in Students’ Online Learning Activities with Self-supervised Machine Learning
Lan Jiang, Nigel Bosch

Accelerating Deep Entity Resolution Model through Augmenting Data Preparators
Lan Li, Liri Fang, Yiren Liu, Bertram Ludaescher

Contrastive Learning with Complex Heterogeneity
Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He

Mental Health Pandemic during the COVID-19 Outbreak: Social Media as a Window to Public Mental Health
Michelle Bak, Jessie Chin, Chung-yi Chiu

Uncovering the Black Fantastic: Piloting Text Similarity Methods for Finding “Lost” Genre Fiction in HathiTrust
Nikolaus Nova Parulian, Ryan Dubnicek, Glen Layne-Worthey

Assessing the Information Needs of a Gene Therapy CDMO
Rachel Riffe, Kelli Trei

SCWAReD: Scholar-Curated Worksets from the HathiTrust Research Center
Ryan Dubnicek, Isabella Magni, John A. Walsh, J. Stephen Downie, Maryemma Graham, Glen Layne-Worthey

Libraries and Diminished Patron Privacy During the COVID-19 Health Crisis
Christopher Muhawe, Ryan Wang, Tian Wang, Carol Mullins Hayes, Masooda Bashir

Census Racial Metadata: Categories Used for Different Racial Groups Across Countries and Time
Siyao Cheng, Mike Twidale

An Analysis of Mobile Gaming Apps’ Privacy Policies
Tian Wang, Carol Hayes, Chen Chen, Masooda Bashir

Comprehensive Fair Meta-learned Recommender System
Tianxin Wei, Jingrui He

Neural Bandit with Arm Group Graph
Yunzhe Qi, Yikun Ban