* indicates shared first-authorship.

*Kubin, E., *Kachanoff, F., & Gray, K. (2022). Threat rejection fuels political dehumanization. Social Psychological and Personality Science, 1-14. doi:10.1177/19485506211068922.

Van Bavel, J. J., Cichocka, A., Capraro, Sjåstad, H., Nezlek, J. B., Alfano, M., ... Kubin, E., ...Boggio, P. S. (2022). National identity predicts public health support during a global pandemic. Nature Communications, 13, 517. doi:10.1038/s41467-021-27668-9.

Kubin, E. & von Sikorski, C. (2021). The role of (social) media in political polarization: A systematic review. ANNALS of the International Communication Association, 45(3), 188-206. doi:10.1080/23808985.2021.1976070.

Brandt, M. J. & Kubin, E. (2021). Ratings of reasons for disagreement about 95 attitude object pairs and 190 attitude objects. Journal of Open Psychology Data, 9(4), 1-7. doi:10.5334/jopd.53.

Brandt, M. J., Turner-Zwinkels, F. M. & Kubin, E. (2021). Political Psychology Data from a 26-wave Yearlong Longitudinal Study (2019–2020). Journal of Open Psychology Data, 9(2), 1–12. doi:10.5334/jopd.54.

Kubin, E., Puryear, C., Schein, C., & Gray, K. (2021). Personal experiences bridge moral and political divides better than facts. Proceedings of the National Academy of Sciences, 118(6), 1-9. doi:10.1073/pnas.2008389118.

Van Tongeren, D. R., Kubin, E., Crawford, J. T., & Brandt, M. J. (2020). The role of religious orientation in worldview conflict. International Journal for the Psychology of Religion. doi:10.1080/10508619.2020.1744317.

Kubin, E. & Brandt, M. J. (2020). Identifying the domains of ideological similarities and differences in attitudes. Comprehensive Results in Social Psychology, 4(1), 53-77. doi:10.1080/237436.2020.1756242.

Randhavane, T., Bera, A., Kubin, E., Wang, A., Gray, K., & Manocha, D. (2019). Pedestrian dominance modeling for socially-aware robot navigation. In International Conference on Robotics and Automation (ICRA).

Randhavane, T., Bera, A., Kubin, E., Gray, K., & Manocha, D. (2019). Modeling data-driven dominance traits for virtual characters using gait analysis. In IEEE Transactions on Visualization and Computer Graphics.

Bera, A., Randhavane, T., Kubin, E., Shaik, H., Gray, K., & Manocha, D. (2018). Data-driven modeling of group entitativity in virtual environments. In Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology (pp. 31-43).

Bera, A., Randhavane, T., Kubin, E., Wang, A., Gray, K., & Manocha, D. (2018). The socially invisible robot: Navigation in the social world using robot entitativity. In Intelligent Robots and Systems (IROS) (pp. 4468-4475).

Bera, A., Randhavane, T., Kubin, E., Wang, A., Gray, K., & Manocha, D. (2018). Classifying group emotions for socially-aware autonomous vehicle navigation. In Proceedings of the IEEE Conferences on Computer Visions and Pattern Recognition Workshops (pp. 1039-1047).

Cheung, E., Bera, A., Kubin, E., Gray, K., & Manocha, D. (2018). Identifying driver behaviors using trajectory features for vehicle navigation. In IROS IEEE/RSK International Conference on Intelligent Robots and Systems.

Cheung, E., Bera, A., Kubin, E., Gray, K., & Manocha, D. (2018). Classifying driver behaviors for autonomous vehicle navigation. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3445-3452.

Emily is a PhD student in the Political Psychology & Communication Lab at the University of Koblenz-Landau (at Landau). Emily, originally from the United States, completed her Bachelor’s degree in psychology at Drew University in New Jersey, while there she joined the Moral and Political Psychology Lab, where she found her love for research. She then worked as a lab manager at the Mind Perception and Morality lab under the direction of Kurt Gray at the University of North Carolina at Chapel Hill. Emily completed a Research Master’s degree in Social and Behavioral Sciences at Tilburg University in the Netherlands. She has held research internship positions at the University of Washington, Yale University, and Vrije University. 

Emily Kubin studies political communication. Specifically, she focuses on how political opponents view and interact with one another, and the role media plays in opponents’ perceptions of one another. She places a special focus on studying strategies political opponents (and the media) can use to reduce affective polarization.