Mahboobeh Harandi

Ph.D. Candidate

Mahboobeh Harandi is a Ph.D. candidate in Information Science and Technology advised by Kevin Crowston. Her high-level research goal is supporting collective activities (i.e., knowledge creation processes) in intelligent socio-technical systems. She is currently studying collaboration among citizen scientists to present a social support model for human-AI augmented groups. She approaches research questions running empirical studies, system design and creation, and experiments. She applies mixed methods to collect data, including online traces, interviews, focus group, virtual ethnography. She analyzes data through various statistical tests and thematic analysis.

She has been collaborating on various research projects as a graduate research assistant as follows:

  •  Gravity Spy, a Citizen Science project, to understand volunteers’ motivations, language evolutions, and learning trajectories
  •  Analyzing publications patterns among junior and senior faculty members funded by the National Science Foundation
  •  Studying leadership behaviors among Wikipedia editors using shared team leadership perspective, The Hill model
  •  Sentiment Analysis of presidential candidates posts on Facebook and tweets, Illuminating 2016
  •  Language analysis of individuals on Yahoo Answers to identify the ontology of certain pains

She received her Master degree in Information Systems Engineering at the Norwegian University of Science and Technology, NTNU, (Trondheim, Norway) and was collaborating in the SmartMedia program. She studied user profiling techniques in news recommender systems and ran a use-case study to understand how access to sentiment analysis of politicians’ quotes changes user experiences. She was a software developer in Iran for a few years and received her Undergrad degree in Software Engineering at the University of Science and Culture (Tehran, Iran).


Publications are available on Google Scholar.