Human–Machine Activity
& Culture
A Transnational Research Colab
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.
Orchestrated Functional Complementarity
Configuring differentiated human and artificial subsystems into productive, adaptive activity.
LLM Uses in Wartime Ukraine
How large language models sustain education, preserve culture, and maintain communication during crisis.
Human–LLM Activity Systems
How humans and large language models form sustained, tool-mediated knowledge configurations.
Indigenous Digital Advancement
From preservation to capability: digital technologies in Indigenous advancement projects.
Comparative Techno-Cultural Studies
Cross-cultural research on technology attitudes and the cultural grammars of adoption.
Digital Learning & Readiness
Competency profiling and the five dimensions of capability for intelligent work.
York University, Canada
West Ukrainian National University, Ukraine