Kwame Robinson
Assistant Professor of Technology, Information Systems and Analytics
Get in touch
hx4220@wayne.edu
Get to know Kwame Robinson
Biography
Kwame Porter Robinson holds a Ph.D. from the University of Michigan's School of Information. His research was focused on ways of doing our economy differently, or community-based economies, using co-designed information systems using automation and AI.
His research emphasizes the bottom-up creation of community enterprise technology within the broader field of digital sustainability in information systems, supporting alternative approaches to economic systems.
Robinson got his start as a civilian data scientist in the Department of Defense, and transitioned to running my own data science consulting company, working with large philanthropies, non-governmental organizations, and state departments. After briefly working for a civic technology start up, he returned to academia for my Ph.D. This blend of public sector, entrepreneurial, and academic experiences informs his approach to information systems and technology design.
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- Ph.D, Information, University of Michigan, 2024
- Masters of Science, Computer Science, University of Maryland, 2012
- Bachelor of Science, Electrical Engineering (honors), New Mexico State University, 2008
- Bachelor of Fine Art, Graphic Design (magna cum laude), Boston University, 2002
- Ron Eglash, Kwame Porter Robinson, Audrey Bennett, Lionel Robert, Matthew Garvin (2023) “Computational Reparations as Generative Justice: Decolonial Transitions to Unalienated Circular Value Flow”, Big Data & Society
- Robinson, K.P., Eglash, R., Bennett, A., Nandakumar, S. and Robert, L.P. (2020). “Authente-Kente: Enabling Authentication for Artisanal Economies with Deep Learning”, AI & Society, 10.13140/RG.2.2.27020.95362/2
- Ron Eglash, Lionel P. Robert, Audrey Bennett, Kwame Porter Robinson, Michael LLachney, William Babbitt (2019) “Automation for the artisanal economy: enhancing the economic and environmental sustainability of crafting professions with human–machine collaboration”. AI & Society. DOI: 10.1007/s00146-019-00915-w
- 2023 Best Student Talk, From Theory to Practice: Building Ethical and Trustworthy AI, Michigan Institute for Data Science
- 2019 - 2024 Rackham Merit Fellowship, stipend with full tuition
- 2022 Rackham Professional Development Grant, ($400)
- 2020 Rackham Graduate Student Research Grant ($925)
- 2019 Rackham Conference Travel Grant($800)
- 2019 AWS Cloud Credits for Research (~$1,000)
- 2019 Amazon AWS Research Credit
- 2012 National Intelligence Meritorious Unit Citation
- Department of Defense directorate level award and recognition for team
Courses taught
Winter Term 2025 (future)
Fall Term 2024 (current)