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Manika Lamba

Manika Lamba

Manika Lamba.

Assistant Professor

Email: manika@ou.edu
Office: Bizzell Library 118E
Campus: Norman


Before starting her current position as an Assistant Professor at the School of Library & Information Studies, Dr. Manika Lamba was a Postdoctoral Research Associate at the HathiTrust Research Center at the School of Information Sciences, University of Illinois Urbana-Champaign. 

Her research broadly falls under computational social science where she employs large language models, natural language processing, machine learning and text mining techniques while maintaining focus on their social implications and ethical considerations. 

She examines the complex sociotechnical dimensions of artificial intelligence and information systems, with particular attention to how these technologies shape information access, social equity, and overcome mis- and dis-information generated by these systems. At the intersection of computational social science and critical data studies, her work investigates not merely how AI systems function, but how they distribute power, influence human behavior, and impact marginalized communities.

Her work has been awarded grants from Princeton University, the National Science Foundation (Social, Behavioral, and Economic Sciences), the National Science Foundation’s Innovation Corps (I-Corps), the Association for Information Science & Technology (ASIS&T), University of Oklahoma, and the Summer Institutes in Computational Social Science (SICSS).

In addition to publishing scholarly articles, she had authored a book on Text Mining for Information Professionals: An Uncharted Territory with Springer.

Access Dr. Lamba's Website


Courses Commonly Taught:  

  • LIS 5043 Organization of Information
  • LIS 4/5493 Data Stewardship
  • LIS 4/5523 Online Information Retrieval
  • LIS 4/5693 Information Retrieval and Text Mining

For a current listing of courses please visit: https://classnav.ou.edu/


Research Areas:

  • Computational Social Science
  • Critical Data Studies
  • Information Retrieval
  • Human-AI Interactions
  • Science Informatics