DIS faculty, doctoral candidates to present at ASIS&T 2021

The Department of Information Science is pleased to have several faculty and doctoral candidates participating in the 84th annual Association for Information Science and Technology (ASIS&T) conference. This year's conference offers a hybrid format, allowing attendees to participate virtually and in person in Salt Lake City, UT on October 30 - November 2, 2021. The theme for this year's conference is "Information: Equity, Diversity, Inclusion, Justice, and Relevance."
The Department is also pleased to show its support of the ASIS&T organization by being a sponsor of this year's conference.

The following faculty and students will be presenting at ASIS&T 2021:

Sunday Oct. 31

Daniel Alemneh, Adjunct Faculty (co-presenter) North-South Scholarly Collaboration: Opportunities and Experiences in Africa (ASIS&T Africa Chapter and SIG-III) (Panel)

Daniel Alemneh, Adjunct Faculty (co-author) Digital Readiness Assessment of Countries in Africa: A Case Study Research (Short paper)

Monday Nov. 1

Jeff Allen, Regents Professor (co-presenter) Career Development in Knowledge Management (SIG-KM) (Panel)

Haihua Chen; Doctoral Candidate (co-author) Racist Framing through Stigmatized Naming: A Topical and Geo-locational Analysis of #Chinavirus and #Chinesevirus on Twitter (Long Paper)

Priya Kizhakkethil, Adjunct Faculty (author) Information as Meaningful Experience (Long Paper)

Janette Klein, Doctoral Candidate (session chair). Paper Session 14: User Engagement and Experience

Haihua Chen, Doctoral Candidate (session chair) Paper Session 09: Text and Data Processing


Tuesday, Nov. 2

Oksana Zavalina, Associate Professor (co-author) Patterns of Subject Metadata Change in MARC 21 Bibliographic Records for Video Recordings (Short Paper)

Daniel Alemneh, Adjunct Faculty (co-presenter) Unity in Diversity: A Conversation Around the Interdisciplinary Identity of Information Science (Panel)



"Data Mining on COVID-19 Vaccines: Side Effects"
Jing You, Nagma Shaik, and Haihua Chen (Doctoral Candidate)

"Appraising Research Data for Long-Term Preservation: An Analysis of Research Data Collection Policies"
Jeonghyun Kim (Associate Professor) and James Faulkner (Doctoral Candidate)


Published October 29, 2021.