Interaction Data Lab
Research team at LPI Paris
About us
We study real-world collective dynamics to develop practical tools for better collaboration. From open science to civic innovation, we combine network analysis, qualitative insight, and relational sensing to help communities organize, learn, and thrive.
Our projects
We explore how collective intelligence emerges through the interplay of social dynamics, attention, and relational practices. Our work spans open science, civic innovation, and learning environments, combining systems modeling, qualitative research, and embodied methods. We take a multi-perspectival approach—valuing first-person experience, interpersonal sensing, and large-scale network analysis—to understand how groups coordinate, learn, and flourish. Beyond performance, we focus on designing collaborative ecosystems that nurture presence, trust, and diverse ways of knowing.
Network seminars!
Since December 2018, we are organizing with Liubov Tupikina (Bell Labs) a network seminar series at LPI Paris. Talks showcase the use of network science in a wide range of disciplines, from physics to mathematics, to archaeology and biology, to social sciences or neurosciences, and are intended for a broad, interdisciplinary audience.
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Seminars on open science communities and recommender systems
These talks have been organized with the Just One Giant Lab open science community to improve our understanding of crowd science and how to enhance collective intelligence using recommender systems on online platforms.
They support us:
Interaction Data Lab 