Install this application on your home screen for quick and easy access when you’re on the go.
Just tap then “Add to Home Screen”
Building: Law Building, Floor: 1, Room: 3
Wednesday 15:45 - 17:30 EEST (27/08/2025)
In an increasingly interconnected world, complex corruption networks transcend national borders, evading traditional accountability mechanisms and challenging state-level regulations. Addressing these challenges requires robust transnational anti-corruption strategies. Digital technologies, such as AI and blockchain, play a dual role in this landscape: on the one hand, they facilitate corruption by enabling the seamless cross-border flow of money, influence, and power; on the other, they offer powerful tools for combating corruption through AI-driven solutions, advanced big data analytics, and enhanced transparency mechanisms. This panel aims to promote an interdisciplinary discussion by offering empirical (quantitative, qualitative, experimental, and mixed-method) and theoretical contributions that explore the multifaceted dynamics of cross-border corruption and anti-corruption in the digital age. Topics of interest include, but are not limited to: - Case studies of transnational corruption and anti-corruption initiatives. - The impact of digital technologies on cross-border corruption networks. - AI and big data analytics as tools for promoting integrity and transparency. - Comparative analyses of anti-corruption strategies across borders. - Theoretical frameworks addressing the interplay between corruption and digitalization.
| Title | Details |
|---|---|
| Harnessing Digital Technologies for Youth-Led Anti-Corruption Movements in the Balkans | View Paper Details |
| High-Level Corruption Prosecutions and Political Instability: A Global Analysis | View Paper Details |
| Responding to Major Corruption Scandals: Party Switching and Electoral Outcomes | View Paper Details |
| Biases in Corruption Suspicion: Exploring the Role of Affective Polarization | View Paper Details |
| Corruption and Partisan Feelings: A Valence Perspective on Explaining Affective Polarization | View Paper Details |