Homa Hosseinmardi, Ph.D.
- Associate Research Scientist, Computational Social Science Lab
Homa Hosseinmardi’s research conducts studies on misleading and biased information; political radicalization and algorithmic bias on online platforms; and misbehavior on online social networks utilizing the advances in computational methods.
Homa Hosseinmardi is a senior research scientist in the Computational Social Science Lab at the University of Pennsylvania. Her research lies at the interface of computational social science, statistical inference, and complex networks, wherein she is interested in questions around making sense of human behavior. Her work couples the availability of large-scale data and advances in sensing technology with computational methods to answer fundamental questions varying from wellbeing and affect to radicalization and hate. She also contributes as an external researcher at the CU CyberSafety Research Center. She received her Ph.D. in Computer Science from the University of Colorado Boulder in 2015.
- M.A., University of Tehran, 2005
- Ph.D., University of Colorado Boulder, 2015
H. Hosseinmardi, A. Ghasemian, A. Clauset, D. Rothschild, Markus Mobius, D. J. Watts, “Examining the consumption of radical content on YouTube.” Proceedings of the National Academy of Sciences 118, no. 32, 2021.
A. Ghasemian, H. Hosseinmardi, A. Galstyan, E. M. Airoldi, and A. Clauset. “Stacking models for nearly optimal link prediction in complex networks.” Proceedings of the National Academy of Sciences 117, no. 38, 2020.
As part of its Penn Media Accountability Project (PennMAP), the Computational Social Science Lab launches the first in a series of interactive data visualizations designed to make their research accessible and engaging.