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Peter's research focuses on massive-scale text analysis, information retrieval, and data issues in crowdsourcing. He currently develops computational methods for extracting meaning from text at scales too large for a person to read. Dr. Organisciak holds a PhD in Library and Information Science (UIUC) and an MA in Humanities Computing-Library and Information Studies (Alberta). Most recently, he has focused on scholarly access to millions of digitized books at the HathiTrust Research Center. His work has received paper awards from the Association for the Advancement of Artificial Intelligence (AAAI) and the Association for Information Science and Technology (ASIS&T), and won a joint Outstanding Contribution Award from the Canadian Society for Digital Humanities. Peter leads the Massive Texts Lab, which applies computational methods to the study of large text collections. Find out more on Peter's Portfolio Page.