Human–Machine Activity
& Culture

A Transnational Research Colab

ScholarFlow research
ScholarFlow research
ScholarFlow research
ScholarFlow research
ScholarFlow research
ScholarFlow research
ScholarFlow research
ScholarFlow research
ScholarFlow research
ScholarFlow research

ScholarFlow Research advances socio-technical praxis for personal and social progress. We are Indigenous and diasporic social scientists, senior researchers, educators, and advocates working at the frontier of human-machine activity, mixed-entity cognition, and emerging multi-agent systems. We partner across borders to reinfrastructure activity from below through engaged research, adaptive learning workshops, and special projects in educational reform, cultural reinfrastructure, Indigenous cultural advancement, Ukrainian resilience and rebuilding, and citizen advocacy.

Our optimism is practical and disciplined. We recognize the human and environmental costs of intelligent technologies, while focusing on advancement through skill-building, adaptation, and purposeful orchestration. Intelligence is adaptation under constraint; activity is adaptation through tension and transformation. We ask how humans, intelligent machines, institutions, and communities can form more capable systems of activity—and how communities can use AI to learn, organize, advocate, preserve culture, and shape futures worthy of their histories.

Some Things We're Working On
Functional dynamics of human-machine interaction

Mixed-Agent Activity Dynamics

A sustained study of human-LLM knowledge work as a mixed-agent activity system, tracing how coordination, delegation, breakdown, repair, and shifting initiative shape real scholarly practice across sessions.

Cultural context of human-machine interaction

Normalno Under Fire

A wartime Ukraine study of how human-LLM partnerships stabilize, strain, and reshape educators' daily rhythms, professional agency, and cultural continuity under conditions of disruption.

Featured Themes and Artifacts
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