My research examines the role of social interactions between individuals in the diffusion of information and the development of large-scale message effects in the context of health-related outcomes. To understand the complex interplay between social forces and message effects, I tailor multi-methodological approaches including neuroscientific methods like fMRI and social science techniques such as observational geolocation tracking, field experimentation, and survey methods to capture both detailed psychological mechanisms and real-world behavior. Using these methods, I have studied, among others, the neural and psychological mechanisms of decisions to share health-related information with others, the role played by these mechanisms in population-level sharing behavior, and the relationship between neural message processing and real-world effects of interpersonal communication on drinking behavior. Current projects focus on questions such as: How do interpersonal communication and social relationships influence the effectiveness of population-level health messaging and how can we design messages that optimize these social processes?; How does neural coupling between those who share information and their receivers impact the diffusion of information and the development population-level message effects?; What is the effect of repeated, real-world exposure to smoking cues on smoker's cigarette craving and neural cue reactivity?
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If you are a master's or bachelor's student in communication science, psychology, neuroscience, computer science, or another related field, who is interested in gaining hands-on research experience, please get in touch to learn more about ongoing projects and opportunities for participation (firstname.lastname@example.org).
Health Communication (Master)
Research Methods Tailored to the Thesis (Experiment; Master)
DCW3 Persuasive Communication (Bachelor)
Master Thesis Supervision Communication Science