Research
Research Interests
Learning Partnerships & Transitioning Leadership
How do we support youth-serving organizations to become more participatory and community-led? I work with partners to develop Learning Partnerships — an ethical-methodological approach that draws from developmental evaluation, participatory action research, and adaptive leadership. The goal is to transition organizational leadership to those most impacted by the issues programs seek to solve.
Data Justice & Community Informatics
I study the political economy of data: how data collection, AI, and proprietary infrastructures reshape human service organizations and the lives of young people. I also work toward alternatives — community-controlled data practices, data cooperatives, and frameworks that center justice over efficiency.
Publications
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Ideathons as anti-oppressive social work pedagogy: A case study with counter-narrative
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Exploring folk theories of data labor in human services
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Examining state policy responses to racial disparities in social work licensure exams
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AI in the nonprofit human services: Distinguishing between hype, harm, and hope
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Data cooperative
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Everybody teach! Upending traditional disciplinary curriculum to create co-taught, praxis-based higher education courses
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Leadership to what end? Connecting our practice to broader movements
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The classroom as laboratory: A theoretical grounding of the Intentional Emergence framework
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The Learning Partner: Dialogic approaches to monitoring and evaluation in international social development
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Emerging tensions in data work: Staff and youth perspectives in youth-serving organizations
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Surfacing human service organizations' data use practices: Toward a critical performance measurement framework
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Real big data: How we know who we know in youth work
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Bigger data, less wisdom: The need for more inclusive collective intelligence in social service provision
Books & Edited Volumes
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Handbook of Youth Futures
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Handbook of Youth Social Work
Presentations
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Strengthening interdisciplinary capacity and engagement in community-based data science
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Civic youth work: Healing ourselves and repairing a fractured world
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Critical youth futures in an era of predictive surveillance
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Strengthening interdisciplinary undergraduate capacity in community-based data science
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Toward acknowledgements of the more-than-human in the material production of AI
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Creating tools to support anti-oppressive co-determination in practice
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Transitioning leadership to those most impacted by social issues
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Developing open educational resources using popular education
Awards & Grants
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Distinguished Teaching, Early Career Faculty
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Tony Bibus Social Work Faculty of the Year
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NSF HNDS: Advancing motivational science through labor force capacity building and community data science infrastructure