R&D Unplugged

In an era of climate instability, social fragmentation, and deep uncertainty, fostering collective intelligence is more crucial than ever. But how do we create the conditions for meaningful collaboration? In this episode, Marc Santolini explores the relational dynamics that enable sensemaking and coordination for systemic change. From psychological safety and deep listening to AI-driven network analysis, we discuss emerging frameworks that blend wisdom traditions with participatory methodologies to support collective flourishing. How can we shift from outcome-driven approaches to process-aware collaboration? Tune in to discover new insights at the intersection of science, technology, and human connection.

How do educators' views on knowledge, science, and values shape the way they teach? In this episode, we welcome Maria Angelica Mejia Caceres to explore how these perspectives influence educational practices—affecting not just what is taught, but how it is received. We discuss the impact of language, emotions, and underlying beliefs in the classroom, questioning the limitations of a purely scientific approach. Can optimism or pessimism about social change shape student engagement? Join us as we uncover how recognizing these influences can transform education into a dynamic force for critical thinking and social change.

In scientific crowdsourcing and citizen science, a striking pattern often emerges: a very small group of participants contributes the majority of the data. This phenomenon, known as participation inequality or the 90-9-1 rule, is evident in platforms like Google Local Guides, Wikipedia, iNaturalist, and OpenStreetMap.

In this episode, we dicuss this topic with Muki Haklay, a renowned expert in citizen science and crowdsourcing. Together, we explore why the 90-9-1 rule plays a pivotal role in projects that rely on crowd participation. What drives this pattern, and should we strive to change it? Tune in as we unpack these questions and consider the implications of participation inequality in collaborative initiatives.

The United Nations’ Sustainable Development Goals (SDGs) aim for a better, more sustainable future, but progress is slow, and in some areas, we are regressing. Evaluating the impact of policy on sustainability is key to understanding this stagnation.

In this episode, we speak with Serge Stinckwich, computer scientist and head of research at the United Nations University Institute in Macau. We discuss how artificial intelligence and social simulations can reveal the complex factors behind sustainability. The COVID-19 pandemic highlighted the role of modelling in guiding policy decisions.

Effective, data-informed policies require inclusive, representative data, and responsible modelling must be transparent and evidence-based, considering marginalized populations and future generations. How can AI-driven tools ensure diverse voices are included in decision-making? Serge shares innovative research projects from the United Nations University Institute in Macau.

In this episode, we sit down with Manon Sala, a second-year PhD student in Sociology and Learning Sciences at the FIRE Doctoral School at the Learning Planet Institute. Manon’s research delves into the institutionalization of Social and Ecological Transition Pedagogies in Higher Education in France, through a comparative analysis of various curricula.

Our conversation centers around the French government’s 2026 recommendations for Ecological and Social Transitions in Higher Education. We explore the role of educators as a “creative middle ground,” bridging the gap between structural changes and the development of psychosocial competencies in students. Together, we examine how these dual levels of action can transform learning cultures and contribute to building a more sustainable and caring society.