A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence
By Tom Sühr, Samira Samadi, Chiara Farronato
Rating
1557
Battle Count: 72
Relevance
3/10
While not directly applicable to quantitative trading, the framework for human-ML collaboration could be adapted for trading decision support systems
Implementation Complexity
7/10
Requires implementation of both theoretical framework and empirical study setup, including web application and model training
Reproducibility
5/5
The paper provides detailed experimental setup, code, and data for full reproducibility
About this paper
Methodology: Empirical study with theoretical framework. Problem types: Optimization, Human-AI Collaboration.
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