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arXiv9h ago
4.8

FASE : A Fairness-Aware Spatiotemporal Event Graph Framework for Predictive Policing

Pronob Kumar Barman, Pronoy Kumar Barman, Plaban Kumar Barman, Rohan Mandar Salvi

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Analysis

Viral velocity
low
Implementation gapYES
Novelty7/10
Categorypaper
Topics
roboticsgraph-neural-networksethics

Opportunity Brief

Build a library for fairness-aware spatiotemporal event forecasting. This is a critical utility for infrastructure and urban planning tools needing bias-mitigation baked into their graph models.

Suggested repo: fair-graph

"Predict events without amplifying systemic biases; fairness first graph networks."

Estimated effort: 120h