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Ágnes Horvát is an Associate Professor in the Department of Communication Studies at Northwestern University. Her research seeks to measure, understand, and forecast collective behavior in networked crowds and large-scale socio-technical systems. Furthermore, her current projects investigate the impact of network embeddedness and diversity on scholarly communication. She also focuses on identifying expressions of collective intelligence and opportunities for innovation in crowdsourcing communities. Professor Horvát's research group develops empirical and theoretical methods to support creativity and predict success in cultural industries. Her work lies at the intersection of computational social science and social computing, employing an interdisciplinary data-driven approach that builds techniques from network science, machine learning, and statistics. In addition to her research, Professor Horvát has developed and teaches a course titled 'Cultural Analytics,' which trains students for careers at the intersection of creative occupations and data science. She is a recipient of fellowships for academic excellence and the National Science Foundation CAREER Award.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.