The Learning Transitions Research Unit (UR LT) is a joint research unit of CY Cergy Paris Université & the Learning Planet Institute. It broadly focuses on learning about transitions and the transitions of learning.

See the UR LT Projects page

The general objective is to build scientific theories, methods and tools for addressing learning transitions, based on interdisciplinarity, citizen science, collective intelligence and artificial intelligence.

  • Learning Transitions Research Unit (UR LT)

Key figures

In 2024-2025

  • 36
    in-house researchers
  • 60
    associated laboratories
  • 20
    research projects
  • 56
    scientific publications

Four research domains

  • Systemic analysis of transitions

    Systemic analysis of transitions adopts an interdisciplinary approach to transitions in order to develop frameworks for systemic analysis. For example, the transition of education as a whole can be studied in terms of dynamics and interactions, in order to identify levers for action and transformation. Similarly, we could study social or technological transitions.

  • Individual transitions

    The facilitation of individual transitions aims to support individuals in their transition to the status of citizens of the planet, capable of taking care of themselves, others and the planet.

    Topics of study include citizen science, learning trajectories and the transformation of emotions into action.

  • Community & organisational transitions

    Enabling transitions in communities and organisations involves drawing on the collective intelligence and citizen science of communities and organisations to identify the best methods for the evolution of different types of organisations, in particular universities, schools and other types of organisations working for the general interest.

  • Human-AI collaboration for transitions

    Human-centered Artificial Intelligence for transitions is focused on developing theories, methods and tools for collaboration between humans and machines.

    Topics of interest include governance, AI ethics, AI-enhanced collective intelligence, and the creation, transmission and evaluation of knowledge in the AI era.

Joining the UR LT

  1. Collaborate with like-minded Learning Transitions researchers worldwide by connecting with United Nations University (UNU) institutes and hubs , and with our international network of 500+ partners orchestrated by the Institute and UNESCO
  2. Prototype your research by teaching & supervising via our interdisciplinary and international cohort of Master and our PhD students, and build an extended team to boost your research topic
  3. Leverage LPI’s cutting-edge digital and AI platforms dedicated to education and learning in your research: Projects, Ikigai+ et WeLearn
  4. Translate your research into concrete policy recommendations at a global level with our tight partnerships with UNU and UNESCO
  5. Go beyond a scientific audience via our public events, seminars, podcasts, etc and give a broader visibility to you research project
  6. Access a unique and sustainable campus in the heart of Paris and explore its many resources
Contact us

Research teams

  • WeLearn - Artificial intelligence (AI)

    Designed and developed at the Learning Planet Institute, WeLearn is an AI-powered learning platform designed to facilitate education on the Sustainable Development Goals (SDGs).

    Learn more
  • LISA

    LISA is a collaborative approach to better identify, understand and support the well-being and mental health of children at school and beyond.

    Learn more
  • Cognition & Critical thinking

    This team studies the cognitive processes involved in lifelong learning and in the development of critical thinking, in line with the SDG4 of “ensuring equitable and quality education for all”

    Learn more
  • Social Computability Group

    This research team works at the interface between sociology, machine learning and engineering, to better understand multidimensional polarisation in social networks.

    Learn more
  • Citizen Science

    The Citizen Science team is supporting a range of projects that engage people from all walks of life in research projects. A current focus is provision of training and education about participatory and citizen science activities.

    Learn more
  • Interaction Data Lab

    This team studies and models collaborative learning and problem solving, using network science and data analysis, with the aim of developing tools to foster collective intelligence for social impact.

    Learn more
  • Learning Disorders

    An interdisciplinary approach to supporting children with developmental coordination disorders (DCD), combining medicine, pedagogy, cognitive psychology, human-machine interfaces, digital accessibility and intelligent systems design.

  • Find out more about Research at the Institute
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