Rosa Lavelle-Hill is an Associate Professor of Digital Humanities, Social Sciences, and AI at the Digital Humanities Lab and Department of Social Sciences. She has a background in Psychology but has since held positions in a number of areas, including data science for social good, educational psychology, and social data science. Rosa is committed to teaching data science methods and techniques (i.e., coding, machine learning, statistics) to students in the humanities and social sciences with no/little prior experience.

Rosa’s research is truly interdisciplinary. She combines social science theory, big data, and machine learning methodologies to better understand human behaviour with applications in social good domains. Her methodological focus is on how data-driven methods can help to inform or challenge existing theories in the social sciences and humanities. Her research spans many different topic areas, including human biases, learning analytics, sports data science, environmental and sustainable behaviour, migration patterns, and modern slavery.

Rosa is currently involved in several projects, including:

• PI on project “Psychology of predictability:Understanding heterogeneity in AI performance”
• PI for the research initiative “Understanding human behaviour: From prediction to theory”
• One of four PIs on the ICARUS Project, understanding the interactions between physiology, psychology, and culture in resilience to extreme weather events caused by climate change.