Faculty Profile

Lingzi Hong

Title
Assistant Professor
Department
Information Science
College
College of Information

    

Current Scheduled Teaching*

INFO 5090.001, Practicum and Internship in the Field Study, Summer 2021
INFO 5090.002, Practicum and Internship in the Field Study, Summer 2021
INFO 4900.702, Special Problems, Summer 2021

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

INFO 5709.002, Data Visualization and Communication, Spring 2021 Syllabus SPOT
INFO 5090.002, Practicum and Internship in the Field Study, Spring 2021 Syllabus SPOT
INFO 4900.751, Special Problems, Spring 2021 Syllabus
INFO 6910.703, Special Problems, Spring 2021
INFO 3010.002, Introduction to Data Science, Fall 2020 Syllabus SPOT
INFO 3010.003, Introduction to Data Science, Fall 2020 Syllabus SPOT
INFO 6900.705, Special Problems, Fall 2020
INFO 4907.001, Data Visualization, Summer 5W2 2020 Syllabus SPOT
INFO 5709.001, Data Visualization and Communication, Summer 5W2 2020 Syllabus SPOT
INFO 5709.005, Data Visualization and Communication, Summer 5W2 2020 SPOT
INFO 4907.001, Data Visualization, Spring 2020 Syllabus
INFO 3010.002, Introduction to Data Science, Spring 2020 Syllabus
INFO 6900.710, Special Problems, Spring 2020
INFO 3010.002, Introduction to Data Science, Fall 2019 Syllabus SPOT

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Publications

Published Intellectual Contributions

Abstracts and Proceedings
Hong, L., Yu,, Moen, W. E. (2020). Revealing the Disciplinary Landscape of Data Science Journals. ALISE.
Conference Proceeding
Yu, X., Reddy, D. S., Bentula, L., Hong, L. (2020). Characteristics of Information Spreading across Nations. Proceedings of the Association for Information Science and Technology.
Yu, X., Boy, J., Hong, L. (2020). The Effect of Structural Affinity on the Diffusion of a Transnational Online Movement: The Case of #MeToo. International Conference on Social Informatics.
Hong, L., Wu, J., Zou, Z. (2020). Spatial Accessibility and Equity of Public Libraries in Urban Settings. International Conference on Information.
Wu, J., Hong, L., Frias-Martinez, V. (2019). Predicting Perceived Level of Cycling Safety for Cycling Trips. Other. 456-459. Chicago, Illinois: 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2019).
Journal Article
Hong, L., Frias-Martinez, V. (2020). Modeling and Predicting Evacuation Flows during Hurricane Irma.
Hong, L., Moen, W. E., Yu, X., Chen, J. (2020). The Disciplinary Research Landscape of Data Science Reflected in Data Science Journals. Information Discovery and Delivery.
Zhang, S., Hong, L. (2019). Academic Normative Framework of Author Contribution Statement in Co-authored Papers. Other. 30, 1164-1170.

Awarded Grants

Contracts, Grants and Sponsored Research

Fellowship
Hong, L., "CLEAR Stipend," Sponsored by Center for Learning Experimentation, Application, & Research (CLEAR), University of North Texas, $500 Funded. (February 1, 2020 – Present).
Hong, L., "Youth Scholar Seminar Travel Fund," Sponsored by Beijing Normal University, International, $2800 Funded. (December 6, 2019December 25, 2019).
Grant - Research
Evans, S. (Principal), Hong, L. (Co-Principal), "Comparative Study of Data Literacy Education for College Freshmen in US and China," University of North Texas, $1500 Funded. (December 18, 2019 – Present).
Hong, L., "Global Venture Fund - Hosting Visiting Scholar," University of North Texas, $2000 Funded. (December 18, 2019 – Present).
Hong, L. (Principal), "Data-driven Methods to Understand Social Media Participation and the Outcomes in Social Movements," University of North Texas, $4943 Funded. (November 6, 2019 – Present).
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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