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I am a Professor of Computer Science at Old Dominion University. I serve as the Assistant Chair for Graduate Programs and Research and the Graduate Program Director (GPD) for the PhD Program in the Department of Computer Science. See our website for information on our graduate programs (MS, PhD). If you need to contact a CS GPD, please use csgpd@odu.edu.
For an overview of my research over the past few years, see On the importance of web archiving, an article I wrote for SSRC Parameters in 2018. I recently gave an interview covering my background, our research group, and challenges facing web archive collections for the National Library of Medicine’s Circulating Now blog. I’m currently featured on the ODU Faculty Women in STEM page, where you can read a bit more about my background and experiences as a woman in computer science. For more information on my education and work experience, see my bio.
Research Interests: web science, social media, web archiving, information visualization (see some student infovis projects in my infovis gallery)
Fall 2024
CS 625 - Data Visualization / online asynchronous - content will be similar to CS 625, Fall 2023
Spring 2024
CS 725/825 - Information Visualization & Data Analytics / MW 3-4:15pm, ECSB 2120
I’m a member of the ODU Web Science and Digital Libraries (WS-DL) Research Group.
WS-DL Webpage WS-DL Twitter WS-DL Blog WS-DL GitHub
My full funding list is available in my CV.
Dr. Michele C. Weigle is a Professor of Computer Science at Old Dominion University. Her research interests include web science, social media, web archiving, and information visualization. She has published over 115 articles in peer-reviewed conferences and journals and has served as PI or Co-PI on external research grants totaling $6M from a wide range of funders, including the National Science Foundation, the National Endowment for the Humanities, the Institute of Museum and Library Services, and the Andrew W. Mellon Foundation. She currently serves on the editorial boards of the Journal of the Association for Information Science and Technology (JASIST) and the International Journal on Digital Libraries (IJDL). Dr. Weigle received her PhD in computer science from the University of North Carolina in 2003.
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Lightning talk (3 slides) at the NEH ODH Project Directors’ Meeting Read more
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Invited presentation to the Web Archiving Team at the Library of Congress Read more
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Presentation of ACM TOIS paper at SIGIR 2019 Read more
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Course lecture slides from asynchronous CS 432/532, first used in Fall 2020
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Project intro presentation for students in the 2022 ODU-CS REU Site on Disinformation Detection and Analytics Read more
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Workshop presentation for students in the 2022 ODU-CS REU Site on Disinformation Detection and Analytics Read more
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Workshop presentation for students in the 2022 ODU-CS REU Site on Disinformation Detection and Analytics Read more
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Telling the story of Hurricane Katrina using mementos of CNN.com from the Wayback Machine (explanatory blog post) Read more
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Invited talk as part of the 2022 NLM History Talks series Read more
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Invited talk as part of the ODU Panel discussion “How are Misinformation & Disinformation related to you?” Read more
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Invited talk at the Lucy Family Institute for Data & Society, University of Notre Dame Read more
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Project intro presentation for students in the 2023 ODU-CS REU Site on Disinformation Detection and Analytics Read more
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Workshop presentation for students in the 2023 ODU-CS REU Site on Disinformation Detection and Analytics Read more
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Catalog Description: Provides an overview of the World Wide Web and associated decentralized information structures, focusing mainly on the computing aspects of the Web: how it works, how it is used, and how it can be analyzed. Students will examine a number of topics including: web architecture, web characterization and analysis, web archiving, Web 2.0, social networks, collective intelligence, search engines, web mining, information diffusion on the web, and the Semantic Web. Prerequisites: A grade of C or better in CS 361 and CS 330. Read more
Catalog Description: This course covers the theory and application of data visualization. This includes issues in data cleaning to prepare data for visualization, theory behind mapping data to appropriate visual representations, introduction to visual analytics, and tools used for data analysis and visualization. Modern visualization software and tools will be used to analyze and visualize real-world datasets to reinforce the concepts covered in the course. Read more
Catalog Description: This course covers the theory and application of information visualization and of visual analytics, the science of combining interactive visual interfaces and information visualization techniques with automatic algorithms to support analytical reasoning through human-computer interaction. Research on visual perception, cognition, interactive visual interfaces, and visual analytics will be covered. Practical techniques for the display of complex multivariate data will be addressed. Course projects will require the development of interactive web-based interfaces to analyze and visualize real-world datasets. Prerequisite: CS 625 (Data Visualization) Read more
Catalog Description: Introduction to research methods in computer science. Topics include academic publishing, academic writing, literature reviews, responsible conduct of research, and presenting research results. Research faculty will present overviews of their research and how research is conducted in their labs. Read more
Catalog Description: This course covers the theory and application of information visualization and of visual analytics, the science of combining interactive visual interfaces and information visualization techniques with automatic algorithms to support analytical reasoning through human-computer interaction. Research on visual perception, cognition, interactive visual interfaces, and visual analytics will be covered. Practical techniques for the display of complex multivariate data will be addressed. Course projects will require the development of interactive web-based interfaces to analyze and visualize real-world datasets. Prerequisite: CS 625 (Data Visualization) Read more
Catalog Description: This course covers the theory and application of data visualization. This includes issues in data cleaning to prepare data for visualization, theory behind mapping data to appropriate visual representations, introduction to visual analytics, and tools used for data analysis and visualization. Modern visualization software and tools will be used to analyze and visualize real-world datasets to reinforce the concepts covered in the course. Read more
Catalog Description: This course covers the theory and application of information visualization and of visual analytics, the science of combining interactive visual interfaces and information visualization techniques with automatic algorithms to support analytical reasoning through human-computer interaction. Research on visual perception, cognition, interactive visual interfaces, and visual analytics will be covered. Practical techniques for the display of complex multivariate data will be addressed. Course projects will require the development of interactive web-based interfaces to analyze and visualize real-world datasets. Prerequisite: CS 625 (Data Visualization) Read more