Integrating Behavior, Text, and Networks to Forecast Online Participation

| Marc Santolini

As online platforms increasingly rely on voluntary contributions—from open science to collaborative innovation—the ability to anticipate user engagement becomes both a scientific and practical priority. Yet predicting who will stay active, who will disengage, and why, remains a complex challenge. Our recent paper, KEGNN: Knowledge-Enhanced Graph Neural Networks for User Engagement Prediction (Fan et al., International Conference on Multimedia Retrieval 2025), introduces a novel framework that addresses this gap by integrating behavioral, social, and semantic signals into a unified predictive model.

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Drawing the Field: Art, Embodiment, and the Science of Group Dynamics

| Marc Santolini

Over several days, I joined a group of approximately thirty educators, artists, and researchers for the Crafting Pedagogies of Togetherness residency—a prototype initiative investigating how embodied awareness practices can inform both educational pedagogy and collaborative methodologies. The residency was designed and facilitated by Studio Atelierista as part of a project co-funded by Erasmus+, and took place in a rural studio context, functioning as a site of transdisciplinary experimentation. Together, we articulated and tested new forms of learning that are relational, affectively attuned, and somatically grounded.

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The Art & Science of Collective Intelligence: Podcast interview on R&D Unplugged

| Marc Santolini

How can we foster collective intelligence in times of uncertainty, fragmentation, and crisis?

I had the pleasure of being interviewed on the R&D Unplugged Podcast by the Learning Planet Institute, where we explored how collaborative intelligence emerges—not just from technology or data, but from the quality of our relationships, processes, and ways of being together. We discussed how psychological safety, participatory methodologies, and even wisdom traditions can inform how we organize, learn, and navigate complexity—whether in research, education, or systemic change.

If you’re interested in how science, facilitation, and social healing intersect, I invite you to tune in:
🎙️ Listen to the episode


Relational Infrastructures for Collective Sensemaking and Action

| Marc Santolini

How can we design containers that support relational development, foster collective intelligence, and cultivate the conditions for systemic transformation?

On March 20, I had the pleasure of presenting our work at the 11th edition of R&D Unplugged, hosted by the Research Unit Learning Transitions at the Learning Planet Institute. In this talk, I explored the intersection of network science, participatory methodologies, and wisdom traditions, highlighting how multi-level group practices and process-aware monitoring can help track and enhance relational quality over time.

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Teams That Thrive: AI-Driven Collaboration for Youth Participation

| Marc Santolini

Team success isn’t just about outcomes—it’s also about how people feel, relate, and engage along the way. Understanding and improving this human dimension of participation is key to building teams that flourish. That’s the question we set out to answer in our latest study in the journal Computers and education: Artificial Intelligence, a collaboration between the Artificial Intelligence Research Institute in Spain and our team at the Learning Planet Institute in Paris. Together, we explored how artificial intelligence can help compose better teams in Challenge-Based Learning (CBL) environments, with a special focus on participants’ experiences—what we call participation quality.

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From Text to Network: Mapping Scientific Collaboration Using LLMs

| Marc Santolini

Understanding how scientists collaborate is key to improving research, but much of that collaboration is informal and buried in unstructured text. In our new article published in Applied Network Science, we show how Large Language Models (LLMs) can uncover these hidden networks—retrieving both inter-team collaborations and intra-team task allocations from free-form text with high accuracy.

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From Self to System: Designing Social Containers for Collective Intelligence

| Marc Santolini

How do we design social containers that support the emergence of healthy, adaptive groups?

In our forthcoming article in Group, we propose a multi-level developmental framework rooted in complexity and network science. We explore how structured environments—composed of nested scales of interaction (self, dyad, group, community)—can cultivate core relational competencies such as co-regulation, perspective-taking, and group-level coordination. These capacities are not merely psychological traits but emergent properties of well-designed interaction networks.

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The Shape of Participation: Uncovering Structure in Open Collaboration

| Marc Santolini

Open-source communities are often seen as paragons of decentralized collaboration. But even in these systems, invisible hierarchies shape how people contribute, coordinate, and influence. Can we better understand these structures—not just who contributes the most, but how participation patterns emerge, persist, and evolve?

In our recent study published in Physica A, we explore this question using rank-size distributions—mathematical tools that map how activity is distributed across contributors. The most famous of these, Zipf’s Law, has long been used to describe hierarchies in systems as varied as cities, languages, and scientific publishing. It assumes a simple power-law decay: the second most active contributor does half as much as the first, the third one-third, and so on. But while this model is elegant, it’s also limited.

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