We are seeking applications for an interdisciplinary PhD project aiming to understand neuropsychological and social mechanisms that drive polarization in individuals and groups. This project will be part of the Research Priority Area (RPA) Polarization at the UvA's Faculty of Social and Behavioral Science which aims to support solutions to the societal challenge of polarization through rigorous scientific research. Are you motivated by the opportunity and challenge of interdisciplinary research and do you have strong research methodology and analysis skills? We are looking forward to your application.
Project descriptionPolarization is the development or existence of a persisting, extreme, multi-modal divide in attitudes, identities, affect, and behavior and manifests across all levels of social life, including, but not limited to, individual cognitive biases, social group dynamics and larger educational, cultural, and political structures. Currently, we lack understanding of how polarizing processes that have been observed at each level are connected to one another (e.g. how biases in individual cognition relate to group-level conflicts). Interdependencies and feedback loops between different levels are crucial puzzle pieces to gain a full understanding of polarization and predict the impact of interventions on society as a whole. This PhD project aims to uncover interconnections between individual- and group-level polarization, and interface with other projects within the RPA which are focused on other levels.
Specifically, this project focuses on biases in information processing and handling as a core feature that is both a cause and a consequence of polarization in individuals and groups. To study cross-level feedback loops, we examine the specific behavior of information sharing as a natural bridge between the (un)biased ways in which individuals process information and the ways in which groups handle information that becomes available to them. Objective 1 of the project is to examine effects of perceptions of group norms on biases in individual-level information processing and sharing behavior. Objective 2 is to examine effects of individual-level sharing behavior on group-level information handling and group norms. Based on Objectives 1-2, we will develop a mechanistic model of how sharing is linked to cross-level polarization. Finally, Objective 3 is to experimentally compare interventions that are informed by this mechanistic model and aim to shift key polarizing mechanisms within ecologically valid contexts.
Objective 1-2 will be addressed with a series of behavioral studies and an fMRI study. Objective 3 will be addressed through an experiment comparing effects of multiple interventions in a diverse sample. All academic activities will be guided by rigorous open science principles including pre-registration, the publication of a registered report, as well as data and material sharing.
The project will be supervised by Dr. Christin Scholz, Dr. Marte Otten, Dr. Gijs Schumacher, and Dr. Bert Bakker. You will be part of the Amsterdam School for Communication Research and complete a PhD in communication science. In addition, the Phd candidate is expected to be an active member of the RPA community, which includes the Hot Politics Lab.
What are you going to doYou will/tasks:
- conduct research as outlined above, adopting multiple methodologies including behavioral and fMRI laboratory experiments, and online experiments;
- execute complex data management and analysis tasks integrating neuroimaging and self-report data;
- implement rigorous open science methodologies including, among others, pre-registration, registered reports, and data sharing;
- produce academic publications in leading international journals, accumulating in a PhD thesis;
- present your work at (inter)national conferences;
- contribute to the vibrant academic life in Amsterdam by attending workshops, meetings, and lectures;
- disseminate your findings to the general public;
- engage in activities or committees in the department, the program group and/or the RPA;