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Anita Crescenzi joins the School of Data Science and Society after serving as a faculty member in the Eshelman School of Pharmacy and the School of Information and Library Science (SILS). She continues to have a secondary appointment in SILS. Her research interests include: the impact of time constraints and time pressure on the process and outcomes of exploratory information-seeking; information search in support of decision-making; metacognitive regulation in information search; designing and evaluating search systems provide better support for learning, problem-solving and decision-making in exploratory or collaborative information-seeking; and FAIR data practices and data search.