CS Szostek

About

CS Szostek has made pioneering contributions to the study of human–algorithm interaction in financial markets, a field at the intersection of computer science, behavioral economics, and market microstructure. Her most-cited work, "Studies of Interaction Between Human Traders and Algorithmic Trading Systems" (2011, 16 citations), remains a foundational reference for understanding how automated trading software reshapes market dynamics and trader behavior. Szostek’s research illuminates the critical tensions and feedback loops between human decision-making and autonomous trading agents, offering insights into market stability, fairness, and the cognitive challenges faced by human traders in increasingly automated environments. Her work is notable for its interdisciplinary approach, combining empirical observation with computational modeling to reveal how algorithmic systems influence liquidity, volatility, and strategic adaptation. Though her citation count reflects a niche but impactful contribution, Szostek’s research is widely recognized among scholars of market design and human–computer interaction, and it continues to inform debates on regulatory frameworks for high-frequency trading. Her studies serve as a vital resource for students and researchers exploring the socio-technical dimensions of modern finance.

Research Focus

Key Achievements

Top Papers

1. 1
   Studies of Interaction Between Human Traders and Algorithmic Trading Systems

   16 citations · 2011

Key Collaborators

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