Irene Tello Arista - Using Beneficial Ownership Data for Anti-Corruption | CEU 3MT Competition 2026 скачать в хорошем качестве

Irene Tello Arista - Using Beneficial Ownership Data for Anti-Corruption | CEU 3MT Competition 2026

The CEU Three Minute Thesis (3MT®) 2026 Final celebrated the diversity, depth, and societal relevance of doctoral research at Central European University. In just three minutes each, 11 PhD candidates presented their research to a broad audience, demonstrating how complex ideas can be communicated with clarity and impact. Irene Tello Arista is a PhD candidate at CEU’s Doctoral School of Political Science, Public Policy, and International Relations, supervised by Mihály Fazekas. Her research examines how beneficial ownership data can be used to combat corruption and money laundering worldwide. By combining interviews, large-scale data analysis, and machine learning, Irene explores both the benefits and limitations of transparency policies—and how corruption networks adapt to them. Learn more: https://www.ceu.edu/ https://threeminutethesis.uq.edu.au/w... #3mt #ThreeMinuteThesis #seeuatceu Central European University is an institution of advanced research and teaching, dedicated to socially and morally responsible intellectual inquiry. More from CEU: Home https://www.ceu.edu/ Facebook   / weareceu   Bluesky https://bsky.app/profile/weareceu.bsk... Instagram   / weareceu   LinkedIn   / central-european-university   Threads https://www.threads.net/@weareceu Subscribe for more videos:    / centraleuropeanuniversitychannel