Communication Dans Un Congrès Année : 2026

Ethical and Equitable Data Science: Bridging Social Justice and Technical Innovation ADBIS 2025 Doctoral Consortium Lecture

Genoveva Vargas-Solar

Résumé

This paper summarises the fundamental background of the Doctoral Consortium titled "Ethical and Equitable Data Science". It introduces Freda, a methodology for designing ethical, frugal, and equitable data and algorithm-driven science. It bridges technical innovation with social justice by integrating data sovereignty, fairness-aware analytics, and community-in-the-loop infrastructure. Rooted in decolonial and feminist perspectives, Freda addresses transparency, accountability, and epistemic diversity through policy-aware Spark pipelines, federated learning, and negotiated resource dispatching. A case study illustrates how sovereignty-aware pipelines enable community control, minimise extractivism, and embed plural, justice-centred values into AI systems.

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Dates et versions

hal-05378472 , version 1 (23-11-2025)

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Genoveva Vargas-Solar. Ethical and Equitable Data Science: Bridging Social Justice and Technical Innovation ADBIS 2025 Doctoral Consortium Lecture. ADBIS 2025 Doctoral Consortium, Sep 2025, Tampere, Finland. pp.203-215, ⟨10.1007/978-3-032-05727-3_20⟩. ⟨hal-05378472⟩
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