Managing Platform Congestion and Algorithmic Impact in Job Applications

This coursework delves into AI-driven job platform regulation, exploring the paradoxes of algorithmic filtering on market efficiency and applicant adaptation. Key topics include the 'Tragedy of Quantity' and 'Uniformity,' market thickness issues reducing match rates, and AI sorting replacing traditional congestion controls. Students will analyze cases like Amazon 2018 and investigate how applicants strategically optimize profiles to navigate AI-based ranking systems. This study emphasizes the...