Research
We investigate the intersection of human creativity and artificial capability through rigorous philosophical inquiry and practical experimentation.
Our research practice combines theoretical exploration with applied methodologies, challenging conventional narratives about AI while developing frameworks for meaningful human-machine collaboration.
Active Research Programs
Iteradores
Questions, Design & Computers.
Weekly explorations dismantling AI mysticism, examining LLMs as iterative processors rather than intelligent entities.
Research Focus Areas
Human-AI Collaboration Frameworks
Developing methodologies that amplify human creativity through intelligent tool use rather than replacement, focusing on augmentation over automation.
Critical AI Studies
Examining the philosophical and practical implications of large language models, demystifying their capabilities while identifying genuine opportunities for innovation.
Design Philosophy & Methodology
Investigating how design thinking evolves in the age of AI, maintaining human-centered principles while embracing computational possibilities.
Research Approach
Our research methodology bridges theoretical inquiry with practical application, ensuring insights translate into actionable frameworks for education and industry.
Philosophical Rigor
Practical Experimentation
Applied Frameworks
Theoretical Foundation
Grounded in philosophy of technology, cognitive science, and design theory, our research challenges assumptions while building on established knowledge.
Experimental Practice
Through controlled experiments and real-world applications, we validate hypotheses and refine methodologies for human-AI collaboration.
Knowledge Transfer
Research insights directly inform our educational partnerships and consulting practice, ensuring continuous evolution of our methodologies.
Publications & Output
Our research manifests through various channels, from academic publications to practical toolkits, ensuring broad accessibility and impact.
Iteradores Newsletter
Weekly philosophical explorations of AI and technical systems, reaching practitioners and academics globally.
Educational Frameworks
Practical methodologies for integrating AI into design education, tested and refined with partner institutions.
Workshop Materials
Comprehensive guides and facilitation resources for implementing research insights in organizational contexts.
Research Collaboration
We actively seek collaboration with institutions and organizations exploring the future of human creativity in technological contexts.
Current areas of interest include:
Philosophical frameworks for understanding AI capabilities and limitations
Methodologies for human-centered AI integration in creative practices
Critical analysis of AI narratives and their impact on design education
Development of evaluation frameworks for AI-augmented creative work
Join the Conversation
Whether you're interested in our research findings, seeking collaboration, or exploring how our insights can inform your work, we welcome your engagement.