Over the past decade, many democratic systems have faced increasing threats from within, as governments gradually consolidate power-a process known as "executive aggrandisement." This trend has raised widespread concern among experts, policymakers, and citizens about the long-term stability of democracy in Europe. Despite the abundance of data on democracy, researchers have struggled to pinpoint the complex, multidimensional causes behind this phenomenon. Traditional research methods have proven insufficient in fully understanding how democracies erode over time.
TWIN4DEM aims to change this by leveraging cutting-edge Computational Social Science (CSS) techniques, such as natural language processing, data aggregation, and dynamic simulation models, to analyse democratic decline. The project will prototype the first-ever digital twins of four European political systems: Czechia, France, Hungary, and the Netherlands. These digital twins will simulate real-world scenarios, helping researchers and stakeholders better understand the factors driving democratic erosion and the impact of policy decisions.
Dr. Clara Egger explained: "By combining expertise from political science, computational social sciences, ethics, linguistics, and computer science, we are creating tools that not only advance our academic understanding to democratic resilience but also ensure that these insights benefit society as a whole."
Dr. Asya Zhelyazkova added: "The threats facing democracies today are less about dramatic coups and more about the slow erosion of institutional checks and balances. TWIN4DEM will use innovative methods to reveal how these dynamics unfold over time, providing vital insights into how we can protect and strengthen democratic institutions."