Dr. Michele C. Weigle

Dr. Michele C. Weigle

Professor of Computer Science

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About Me

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)

Teaching

Spring 2025

CS 725/825 - Information Visualization & Data Analytics / MW 3-4:15 and online synchronous

Fall 2024

CS 625 - Data Visualization / online asynchronous

Research

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

Recent Publications

  1. Hye-Chung Kum, Steven Bedrick, and Michele C. Weigle, “Challenges in Data Science in the Use of Large-Scale Population Datasets for Scientific Inquiry,” In Digital Ethology: Human Behavior in Geospatial Context. (Tomáš Paus and Hye-Chung Kum, Eds.), The MIT Press, 2024.  
  2. Michele C. Weigle, José Balsa-Barreiro, Nitesh V. Chawla, Tamas Dávid-Barrett, Maria Melchior, Virginia Pallante, Abeed Sarker, and Jason Gilliland, “Characterizing Social Environments in the Physical and Virtual Worlds Using Digital Data,” In Digital Ethology: Human Behavior in Geospatial Context. (Tomáš Paus and Hye-Chung Kum, Eds.), The MIT Press, 2024.  
  3. Himarsha Jayanetti, Kritika Garg, Sawood Alam, Michael L. Nelson, and Michele C. Weigle, “Robots Still Outnumber Humans in Web Archives in 2019, But Less Than in 2015 and 2012,” International Journal on Digital Libraries (IJDL), March 2024.  
  4. Rachel Zheng and Michele C. Weigle, “Examining the Challenges in Archiving Instagram,” Technical report arXiv:2401.02029, arXiv, January 2024.    
  5. Emily Escamilla, Martin Klein, Talya Cooper, Vicky Rampin, Michele C. Weigle, and Michael L. Nelson, “Cited But Not Archived: Analyzing the Status of Code References in Scholarly Articles,” In Proceedings of the International Conference on Asia-Pacific Digital Libraries (ICADL). December 2023.    
  6. Shawn M. Jones, Martin Klein, Michele C. Weigle, and Michael L. Nelson, “Summarizing Web Archive Corpora Via Social Media Storytelling By Automatically Selecting and Visualizing Exemplars,” ACM Transactions on the Web, Vol. 18, No. 1, October 2023, pp. 1-48.  
  7. Himarsha R. Jayanetti, Erika Frydenlund, and Michele C. Weigle, “Xenophobic Events vs. Refugee Population – Using GDELT to Identify Countries with Disproportionate Coverage,” Poster presented at the 16th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRIMS), September 2023.    
  8. Emily Escamilla, Lamia Salsabil, Martin Klein, Jian Wu, Michele C. Weigle, and Michael L. Nelson, “It’s Not Just GitHub: Identifying Data and Software Sources Included in Publications,” In Proceedings of the Theory and Practice of Digital Libraries Conference (TPDL). September 2023, pp. 195-206.    
  9. Shawn M. Jones, Himarsha R. Jayanetti, Martin Klein, Michele C. Weigle, and Michael L. Nelson, “Synthesizing Web Archive Collections into Big Data: Lessons from Mining Data from Web Archives,” In Proceedings of the Theory and Practice of Digital Libraries Conference (TPDL). September 2023, pp. 220-229.  
  10. Kritika Garg, Himarsha R. Jayanetti, Sawood Alam, Michele C. Weigle, and Michael L. Nelson, “Challenges in replaying archived Twitter pages,” International Journal on Digital Libraries (IJDL), August 2023.  

Active Funding

  • Michele C. Weigle (PI), Erika Frydenlund, Data Science for Social Good: Mining and Visualizing Worldwide News to Monitor Xenophobic Violence Towards Migrants and Refugees, ODU Data Science Seed Funding, Jul 2022 - Jun 2024, $38,000.
  • Sampath Jayarathna (PI), Jian Wu, Senior Personnel: Michele C. Weigle, Michael Nelson, Vikas Ashok, Faryaneh Poursardar, Anne Perrotti (Education), Erika Frydenlund (VMASC), REU Site: Research Experiences for Undergraduates in Disinformation Detection and Analytics, NSF REU Site (CNS 2149607), Mar 2022 - Feb 2025, $324,000.
  • Erika Frydenlund (PI, VMASC), Jose Padilla (VMASC), Michele C. Weigle, Jennifer Fish, Michael L. Nelson, Michaela Hynie (York University, Canada), Hanne Haaland (Univ of Agder, Norway), Hege Wallevik (Univ of Agder, Norway), Katherine Palacio-Salgar (Universidad del Norte, Columbia), What’s Missing? Innovating Interdisciplinary Methods for Hard-to-Reach Environments, Jul 2022 - Jul 2025, Department of Defense Minerva Research Initiative, $1,700,245 - blog post

My full funding list is available in my CV.

Service

Bio

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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