Socio-Technical Collaboration to End Homelessness: A Case Study of
                        Perspectives on the Value of Interorganizational Cooperation for Data
                        Sharing

Zimmerman, Tara; Slota, Stephen C.; Fleischman, Kenneth R.; Greenberg, Sherri R.; Snow, James B.; Rodriguez, Sarah A.

doi:10.1037/tms0000117

Cited by 4 publications

(3 citation statements)

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“…Our open coding process resulted in a series of themes, some of which are presented in this paper. One theme focused on the collaborative practices of our interviewed participants, leading us to conduct an additional, deductive, round of coding focusing on how values guided systemic approaches to ending homelessness within the Continuum of Care (Zimmerman et al, 2021). Another set of themes revolved around the impact of time and temporality of the viability, utility, and efficacy of data collected to support service provision, and is the topic of a forthcoming conference paper (Slota et al, 2022).…”

Section: Methodsmentioning

confidence: 99%

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

Slota

Fleischmann

Lee

et al. 2022

Asso for Info Science & Tech

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Governmental and organizational policy increasingly claims to be data-driven, data-informed, or knowledge-driven. We explore the data practices of local governments and nonprofits a seeking to end homelessness in the City of Austin. Drawing on 31 interviews with stakeholders, alongside the reflections and experiences of our interdisciplinary, cross-sector collaborative team, we consider the role of data in guiding and informing interventions and policy regarding homelessness. Ending homelessness is a particularly challenging scenario for intervention, with increasing politicization, changing circumstances, and needing rapid intervention to reduce harm. In exploring some implications of data science "in the wild" as it is deployed, understood, and supported within the Travis County Continuum of Care (CoC), we analyze how data-intensive work connects and engages across disciplinary boundaries. Furthermore, we consider how data science and the iField can collaborate in addressing complex, social problems as advisors and partners with invested organizations.

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Section: Methodsmentioning

confidence: 99%

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

Slota

Fleischmann

Lee

et al. 2022

Asso for Info Science & Tech

View full text Add to dashboard Cite

show abstract

“…The lead author then presented these refined themes to the broader team, who all agreed to organize and present the data we collected according to those themes, some of which we present here. Previously published work from this study has explored how values guided systemic approaches to ending homelessness within the Continuum of Care (Zimmerman et al, 2021). Another published set of themes revolved around the impact of time and temporality on the viability, utility, and efficacy of data (Slota et al, 2022).…”

Section: Data Collection and Analysismentioning

confidence: 99%

From Communities of Practice to Smart and Connected Communities: Information Sharing Practices Among Social Service Providers

Slota

Nigam

Fleischmann

et al. 2022

Proceedings of the Association for Information Science and Tech

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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, information, and technology, and in many ways to operate at a critical junction between community members and an imagined future structured around a particular vision of the role of government, the role of participation, and often-conflicting visions of what these might become. This paper reports findings from 32 semi-structured interviews with stakeholders in the City of Austin Continuum of Care (CoC), a collaborative group of organizations working to end homelessness in the Austin/Travis County region, as well as critical analysis of their collaborative and siloed data resources. The key themes that emerged in this case study include the continual process of 'becoming' a smart and connected community, focusing on the development and 'accretion' of data and informational infrastructure, and its impact on the communities of practice related to providing services to people experiencing homelessness. The information behaviors of the stakeholders of the CoC demonstrates ongoing movement towards more collaborative resolutions of issues of data quality and interoperability, alongside a negotiation of the role of data-intensive structuring of collaborations and work.

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“…Further,Perrault et al (283) describe interorganizational collaboration as "a collection of government and nonprofit service providers coming together to integrate service, build community capacity, or address collective problems through research, service delivery, or policy development. "Zimmerman et al (2021) make an important distinction between coordination and cooperation in relation to successful interorganizational data sharing and collaboration. The authors explain (2021, 2), "Coordination represents the tactical methods of accomplishing the collaboration, while cooperation represents the intrinsic value of proactively working together to accomplish shared goals."…”

mentioning

confidence: 99%

Applying User-Centered Design to Build Trust and Enable Cross-Agency Data Sharing to Better Understand the Prevalence and Context of Human Trafficking in Alberta, Canada

Muyres

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This thesis describes a research study to understand the current state of human trafficking data collection practices and reporting in the province of Alberta, Canada, and gather end-user design considerations for cyberinfrastructure that will enable data sharing between multiple and diverse stakeholders. The research also examines the barriers to change and the needs of stakeholders to improve the collective understanding of human trafficking in the province. Virtual semi-structured interviews were conducted with nineteen organizations including law enforcement and community serving non-profit agencies. While the research resulted in design considerations for a cyberinfrastructure prototype, findings revealed the complexity of the human trafficking ecosystem in Alberta and suggestions for how the community of stakeholders can shift towards a sustained collaborative data sharing culture. This study responds to the need to collect actionable data from multiple sources to reflect the prevalence and context of human trafficking more accurately.

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Socio-Technical Collaboration to End Homelessness: A Case Study of Perspectives on the Value of Interorganizational Cooperation for Data Sharing

Cited by 4 publications

References 0 publications

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

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

From Communities of Practice to Smart and Connected Communities: Information Sharing Practices Among Social Service Providers

Applying User-Centered Design to Build Trust and Enable Cross-Agency Data Sharing to Better Understand the Prevalence and Context of Human Trafficking in Alberta, Canada

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