Vedran Sekara

Vedran Sekara is an Associate Professor in Data Science at the IT University of Copenhagen, focusing on the intersection of Network Science, Computational Social Science, and Algorithmic Auditing. His work examines how data-driven technologies impact societal systems, with particular attention to biases in algorithmic decision-making and humanitarian applications of machine learning.

Research Interests:

• Algorithmic fairness in social systems
• Human mobility modeling and pandemic response
• Socioeconomic indicator estimation via digital footprints
• Climate change communication strategies
• Machine learning for humanitarian work

Recent Projects:

• Principal Investigator for DIREC: Digital Research Centre Denmark (2020-2025)
• Lead investigator in DIREC Mobility Analysis Project (2022-2023)

Awards:

• Recipient of Årets Forskningsmiljø 2022 Award for collaborative research excellence

Media Engagement: Frequently discusses algorithmic impacts on Danish media including PRM/Hvordan påvirker algoritmer vores samfund? (April 2021) and Nu vil regeringen og opruste mod cyberangreb (June 2021).

Key Collaboration Areas: Extensive international research networks in mobility science, computational social science, and algorithmic auditing.