Marvin Starominski-Uehara, Ph.D.
Society & AI Contributor
Temple University Japan
Expertise
Marvin Starominski-Uehara teaches at Temple University Japan. He is an interdisciplinary scholar, AI literacy consultant and the principal investigator of the Stigmergy Network Theory project. Marvin is a guest editor for an upcoming special issue of Interface Focus (Royal Society). His research explores what it takes to design conditions where genuine capability becomes visible. He is the creator of Trace Pedagogy and holds a Ph.D. in Risk Management and Public Policy from the University of Queensland. Following his doctorate, Marvin was the first recipient of the UQ Career Development Scholarship, which funded him to translate his thesis findings on risk perception and decision making into market value. This led him to co-found DeeepSense, an AI start-up supported by CSIRO and UQ Ventures that used NLP to sort and classify online reviews. The company drew significant attention and traction during its brief run in 2018 and 2019. In 2026, Marvin and colleagues received an award from the TUJ Board in the TUJ Triple I Contest for their Owl Secondhand Marketplace proposal.
Professional Appointments
Adjunct Assistant Professor of International Business, Temple University Japan
Authored By Marvin Starominski-Uehara, Ph.D.
Trace Pedagogy: Grade the Trace, Not the Guess
When AI can polish any final product, teachers need evidence of the reasoning behind it. Trace Pedagogy makes open, peer-visible work the evidence of learning and uses exams to confirm it.
Oct 18, 2026
Japan's AI Education Guidelines Skip the Question That Matters Most
Japan's 2026 AI-in-education guidelines tell teachers how to use AI but never ask whether a given lesson needs it, a gap that recent evidence on time-to-mastery makes hard to ignore.
Sep 20, 2026
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