Aligning Data with the Goals of an Organization and Its Workers: Designing Data Labeling for Social Service Case Notes

A Gondimalla, V Sreekanth, G Joshi, W Nelson… - Proceedings of the CHI …, 2024 - dl.acm.org
The challenges of data collection in nonprofits for performance and funding reports are well-
established in HCI research. Few studies, however, delve into improving the data collection …

Just resource allocation? How algorithmic predictions and human notions of justice interact

A Kube, S Das, PJ Fowler, Y Vorobeychik - Proceedings of the 23rd ACM …, 2022 - dl.acm.org
We examine justice in data-aided decisions in the context of a scarce societal resource
allocation problem. Non-experts (recruited on Amazon Mechanical Turk) have to determine …

A feeling for the data: How government and nonprofit stakeholders negotiate value conflicts in data science approaches to ending homelessness

SC Slota, KR Fleischmann, MK Lee… - Journal of the …, 2023 - Wiley Online Library
Governmental and organizational policy increasingly claims to be data‐driven, data‐
informed, or knowledge‐driven. We explore the data practices of local governments and …

From communities of practice to smart and connected communities: information sharing practices among social service providers

SC Slota, I Nigam, KR Fleischmann… - Proceedings of the …, 2022 - Wiley Online Library
To be a smart and connected community is an aspiration and orientation. A goal of smart
and connected communities is to make more effective and consistent use of data …

After automation: Homelessness prioritization algorithms and the future of care labor

P Tracey, P Garcia - Big Data & Society, 2024 - journals.sagepub.com
People experiencing homelessness seek support from homeless services systems that
increasingly rely on prioritization algorithms to determine who is the most deserving of …

Making BIPOC Lives Matter: A Qualitative Analysis of Managerial Resistance to Racial Exclusions in US Homeless Systems

GL Grainger, E Gaede - Housing, Theory and Society, 2024 - Taylor & Francis
The way racial disparities get re/produced or challenged by homeless systems is an
underexplored subject in housing studies. This paper advances scholarship on that topic by …

What benefits do homeless systems get from by-name data?

GL Grainger - Journal of Social Distress and Homelessness, 2024 - Taylor & Francis
Built for Zero (BFZ) is a novel data-driven method to manage entries into and exits from
homeless systems that is gaining popularity throughout the Global North. By-name data …

Caring for people, caring for their data: Data stewardship and collaborative care in social service provision for people experiencing homelessness

SC Slota, KR Fleischmann, SR Greenberg - International Conference on …, 2023 - Springer
This paper reports findings from a study on service provision for people experiencing
homelessness in the Austin/Travis County region. Drawing on 39 interviews with …

[PDF][PDF] Socio-technical collaboration to end homelessness: A case study of perspectives on the value of interorganizational cooperation for data sharing

T Zimmerman, S Slota, KR Fleischman, S Greenberg… - 2021 - assets.pubpub.org
This paper explores data and information sharing efforts among local government and
nonprofit organizations that serve people experiencing homelessness as part of the City of …

Intermediation: Algorithmic Prioritization in Practice in Homeless Services

P Tracey, P Garcia - Proceedings of the ACM on Human-Computer …, 2024 - dl.acm.org
Homelessness is a significant and growing crisis in the United States. In an effort to more
efficiently and fairly distribute limited housing resources, jurisdictions across the US have …