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Itamar Shatz primarily develops and analyzes large-scale language datasets using quantitative methods from computational social sciences, which overlap with digital humanities. He is currently focusing on his PhD, investigating the influence of crosslinguistic lexical similarity on language learners' use of second-language vocabulary. Additionally, he actively engages in activities related to open research and science communication. As a lecturer at the University of Cambridge, he teaches courses such as Quantitative Methods for Analyzing Language Data, a graduate course in the Linguistics department, and Making Sense of Statistics, aimed at Cambridge Digital Humanities students, researchers, and university staff. Furthermore, he serves as a supervisor for the course on Language Acquisition (Li15).
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.