Reinventing research systems in the age of AI

I work at the intersection of cognitive science and artificial intelligence to understand how research is changing and how to design better ways of doing science with intelligent systems.

Artificial intelligence is transforming how knowledge is produced, but research systems were not designed for it.

Today, AI is often adopted reactively, out of curiosity, pressure, or fear of missing out. I approach it differently.

I see AI as an opportunity not just to do more, but to do better science.

What should science become in the age of AI—and how do we build it?

→ For researchers

Collaborate on research projects, grants (e.g., MSCA), and publications on AI and the transformation of science.

→ For institutions & policy

Work on evaluation frameworks, governance, and the design of research systems in the age of AI.

→ For innovators

Design and develop AI tools and systems that improve research workflows and collective intelligence.

Selected work

Co-Creation Database (AI-assisted systematic review)

Developed a large-scale, AI-assisted methodology to structure scientific knowledge on co-creation.

→ Demonstrates how AI can transform evidence synthesis and research workflows.

Co-Tech Taxonomy (under review)

Designed a normative taxonomy to align digital technologies with the values and structure of co-creation processes.

→ Shifts from “what technology can do” to “what research needs”.

Hybrid Research Methods (ongoing)

Developing frameworks to structure how humans and AI collaborate in research.