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I’m am computational social scientist and data scientist with a background in political communication and social media research that specialises in agent-based simulation, social network analysis and the computational study of social media behaviour.
For the last three years, I was a Research Associate in Computational Social Science at Durham University designing and evaluating algorithms for realistic artificial social networks in Julia by creating a taxonomy of existing generator papers, accessible as an interactive, open-access database (RShiny dashboard), in addition to exploring the interdependencies of social network’s structural properties.
For my PhD in Politics at Glasgow University (2023) I designed and implemented an agent-based model of online polarisation and offline protest mobilisation, applied to Catalonia’s independence movement in Spain.
agent-based models, social networks, echo chambers, polarisation, social influence, protest mobilisation
NetLogo, R, Julia and Python
Annie Waldherr is Professor of Computational Communication Science at the Department of Communication at the University of Vienna. She studied Communication Science at the University of Hohenheim and the School of Journalism and Communication at the University of Oregon. She held positions at the Faculty of Social Sciences at the University of Hohenheim and the Institute for Media and Communication Studies at Freie Universität Berlin where she also obtained her PhD in 2011. Before joining the University of Vienna in September 2020, Annie Waldherr was Assistant Professor at the Department of Communication at the University of Münster.
Her research focuses on public spheres, social movements and political communication under the conditions of digitalization, datafication and artificial intelligence.