Sustaining Community-Based Research in Computing: Lessons from Two Tech Capacity Building Initiatives for Local Businesses

dc.contributor.authorKotturi, Yasmine
dc.contributor.authorHui, Julie
dc.contributor.authorJohnson, T. J.
dc.contributor.authorSanifu, Lutalo
dc.contributor.authorDillahunt, Tawanna R.
dc.date.accessioned2026-02-12T16:44:43Z
dc.date.issued2024-04-26
dc.description.abstractThe field of human-computer interaction (HCI) has traditionally focused on the design of novel technology artifacts. However, ensuring considerations for artifact maintenance and repair is crucial to sustainably supporting the populations they aim to serve over the long term. Drawing on two multi-year programs for tech capacity building in post-industrial U.S. cities, this article presents a comparative analysis to investigate the challenges and strategies for sustained community-based research in computing. In particular, our work detailed three considerations for academic-community partnerships. First, long-term partnerships prioritized transferring trust across academic and community personnel and continually set expectations that responded to evolving community initiatives (i.e., relational sustainability). Second, partnerships used academic support as a way to kickstart community initiatives, and flexibly reframed interventions to stay aligned with evolving community goals (i.e., economic sustainability). Third, partnerships trained personnel to provide technical support alongside interventions and prioritized advice that resisted short-term trends (i.e., technical sustainability). We provide concrete examples of how our two academic-community partnerships carried out such suggestions-such details go unreported in scholarly articles yet are essential for sustainability considerations. We discuss ongoing challenges, such as rethinking when longevity should and should not be the end goal.
dc.description.sponsorshipThis work was funded by the National Science Foundation (1928474) and the Ewing Marion Kauffman Foundation (G-202105-10537). We thank the business owners who have signed up for Tech Help Desk and Community Tech Workers. We thank the Tech Help Desk providers (Casey Collins, Cella Sum, and Alicia DeVrio) and Community Tech Workers (Diamond Hatcher, Edwin Taylor, Danielle Taylor-Basemore, Lily Israel, Casey Stoneback, Abhay Sharma, and Ruchita Coomar) for all their hard work supporting business owners. We thank Jeffrey Bigham at Carnegie Mellon University and Angel Anderson, Glenn Ford, and Mike Skirpan at Community Forge for supporting Tech Help Desk. We thank Christie Baer and Kristin Seefeldt at the University of Michigan, and Aaron Jackson, Marcellous Weaver, and the staff at Jefferson East, Inc. for supporting Community Tech Workers. We also thank all the leaders from business service organizations who have provided input and guidance for this project.
dc.description.urihttps://dl.acm.org/doi/10.1145/3641017
dc.format.extent32 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2jpjt-pnvf
dc.identifier.citationKotturi, Yasmine, Julie Hui, TJ Johnson, Lutalo Sanifu, and Tawanna R. Dillahunt. “Sustaining Community-Based Research in Computing: Lessons from Two Tech Capacity Building Initiatives for Local Businesses.” Proc. ACM Hum.-Comput. Interact. 8, no. CSCW1 (2024): 178:1-178:31. https://doi.org/10.1145/3641017.
dc.identifier.urihttps://doi.org/10.1145/3641017
dc.identifier.urihttp://hdl.handle.net/11603/41940
dc.language.isoen
dc.publisherACM
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectUMBC Human-Centered Computing Program
dc.titleSustaining Community-Based Research in Computing: Lessons from Two Tech Capacity Building Initiatives for Local Businesses
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-6201-7922

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