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Elisabetta Salvai is a PhD fellow at the University of Copenhagen, specifically within the SODAS (Social Data Science) program. Her research focuses on process information, delivering content, extracting insights, and generating reports to understand service usage, as well as accessing and storing information on devices. Through her academic endeavors, she aims to bridge the gap between data analysis and practical application by leveraging modern analytical techniques. With a keen interest in utilizing data science methodologies, she explores how to effectively interpret and present data-driven insights.
Focuses on clinical, social, and cognitive psychology.