activity
20222026
most citedUnpacking Invisible Work Practices, Constraints, and Latent Power Relationships in Child Welfare through Casenote Analysis

33 citations · 50 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.HC2026

The Paradox of Prioritization in Public Sector Algorithms

Erina Seh-Young Moon, Shion Guha

Public sector agencies perform the critical task of implementing the redistributive role of the State by acting as the leading provider of critical public services that many rely o…

cs.HC20261 cited

The Promises and Perils of using LLMs for Effective Public Services

Erina Seh-Young Moon, Matthew Tamura, Angelina Zhai +5

Governments are the primary providers of essential public services and are responsible for delivering them effectively. In high-stakes decision-making domains such as child welfare…

cs.HC2025

Emerging Practices in Participatory AI Design in Public Sector Innovation

Devansh Saxena, Zoe Kahn, Erina Seh-Young Moon +9

Local and federal agencies are rapidly adopting AI systems to augment or automate critical decisions, efficiently use resources, and improve public service delivery. AI systems are…

cs.HC20256 cited

The Datafication of Care in Public Homelessness Services

Erina Seh-Young Moon, Devansh Saxena, Dipto Das +1

Homelessness systems in North America adopt coordinated data-driven approaches to efficiently match support services to clients based on their assessed needs and available resource…

cs.HC202410 cited

A Human-Centered Review of Algorithms in Homelessness Research

Erina Seh-Young Moon, Shion Guha

Homelessness is a humanitarian challenge affecting an estimated 1.6 billion people worldwide. In the face of rising homeless populations in developed nations and a strain on social…

cs.HC202233 cited

Unpacking Invisible Work Practices, Constraints, and Latent Power Relationships in Child Welfare through Casenote Analysis

Devansh Saxena, Erina Seh-Young Moon, Dahlia Shehata +1

Caseworkers are trained to write detailed narratives about families in Child-Welfare (CW) which informs collaborative high-stakes decision-making. Unlike other administrative data,…