Clara Strasser Ceballos

Research Interests

• Fairness in Automated-Decision Making (ADM)
• Integration & Migration
• Intimate partner violence against women

Short Description

Clara holds a Bachelor’s degree in Economics and a Master’s degree in Statistics from LMU Munich. She continued her academic journey at LMU, starting as a PhD student at the Social Data Science and AI Lab.

Clara advocates for fair, transparent, and accountable matching algorithms. In her research, she critically evaluates:

• Tools that match newly arriving refugees with locations to improve their (economic) integration, such as GeoMatch, Annie™ Moore, Match’In, Re:Match, and RUTH.

• Tools that match students with schools, such as the NYC school-matching algorithm.

She additionally conducts research on intimate partner violence (IPV) against women. Specifically, she studies the potential of using machine learning to identify women most at risk of experiencing violence, and critically evaluates the risk assessment tool VioGen, which is used in Spain to classify women who have experienced IPV into risk groups.