Ágnes Horvát is an Assistant Professor in the Department of Communication Studies, an affiliated faculty of the Northwestern Institute on Complex Systems (NICO), and the Department of Management and Organizations of the Kellogg School of Management (by courtesy). She seeks to measure, understand, and forecast the collective behavior of networked crowds in large-scale sociotechnical systems like peer-to-peer platforms. Her current research develops empirical and theoretical methods to support creativity and predict success in culture industries, identify expressions of collective intelligence and opportunities for innovation in crowdsourcing communities, as well as detect shared misconceptions and biases in online capital markets. Her work work at the intersection of computational social science and social computing uses an interdisciplinary data-driven approach and builds on techniques from network science, machine learning, statistics, and exploratory visualization. Professor Horvát developed and teaches a ‘Cultural Analytics’ graduate course that is designed to train students for careers at the intersection of creative occupations and data science. She serves on the editorial board of PLOS One. Horvát has been the recipient of many fellowships and academic excellence awards, most recently a CISE CRII award from the National Science Foundation.
|Post-Doctoral Researcher||Northwestern Institute on Complex Systems (NICO)|
|PhD||Interdisciplinary Physics, Heidelberg University, Germany|
|BSc||Physics and Computer Science, Babeș-Bolyai University, Romania|
|BA||Photography, Film, and Media, Sapientia University, Romania|