Dr. Rafiazka Millanida Hilman joined the MTA–TK Lendület “Momentum” Digital Social Science Research Group for Social Stratification led by Julia Koltai as a Momentum MSCA Fellow for the following three years. The title of her research project is 'Designing the Hybrid Digital Twin of Society to Model Urban Dynamics'. Central to her research agenda is the advancement of quantitative methodologies such as agent-based modeling and social network analysis, for the systematic investigation of artificial societies within digital twin environments. This focus facilitates the examination of multiscale socio-behavioral processes, including individual mobility patterns, social interaction structures, collective dynamics, and their interdependencies with the built environment.  These contributions advance theory-informed, data-intensive approaches for characterizing and forecasting behavioral and systemic patterns. The presetation of her recent work and research plan will be held on January 20, 2026 at 1pm, at room T.0.25.

 

Dr Hilman is an Interdisciplinary Computational Social Scientist and Data Scientist focusing on Computational Urban Science, with an emphasis on measuring, modeling, and simulating the spatiotemporal dynamics of urban systems. She received her PhD from the Central European University in Network and Data Science and previously worked at Computational Science Lab under Informatics Institute and Institute for Advanced Study, the University of Amsterdam. Scientific milestones she has achieved are, to an extent driven by collaborative research environment, including at UNICEF Office of Innovation, Northeastern University, Delft University of Technology, the Dutch Ministry of Education, Culture and Science, and the Alan Turing Institute.  Apart from that, she also serves on the Executive Committee for Diversity and Outreach of Women in Network Science (WiNS) and as Co-Convenor for Statistical and Computational Approaches in the MethodsNET Council.