Review of the 4th Ritme Scientific Committee

Review of the 4th Ritme Scientific Committee

On October 9, 2025, Ritme held the 4th edition of its Scientific Committee, bringing together several of its expert trainers and partners to explore the role of generative AI in scientific research.

This recurring event provides a space for discussion on the evolving landscape of scientific practices and aims to foster innovation around the use of artificial intelligence in research.

Several key ideas emerged from the discussions:

  • Organizing Training into Micro-Modules

Discussions highlighted the value of a flexible and personalized approach to training. Structuring learning paths into thematic micro-modules would allow researchers to build training programs tailored to their specific needs.

This more agile format is currently being explored by Ritme’s teams.

  • Chatbots Integrated into Electronic Lab Notebooks (ELNs)

The committee also explored the potential of specialized chatbots integrated directly into electronic lab notebooks or other professional tools.
These intelligent agents could assist in retrieving experimental information, accessing protocols, or interacting with lab data.

This promising concept is now undergoing deeper examination regarding its technical feasibility and its potential impact on researchers’ day-to-day activities.

  • AI and the Management of Project Calls

Another key takeaway was the potential of AI tools to support the management of project calls, particularly by automating time-consuming tasks related to monitoring, drafting, and administrative coordination.

The main challenge identified: streamlining processes while maintaining scientific rigor and quality.

  • Developing Micro-SaaS Applications with Generative AI

Lastly, the rise of generative AI is enabling the rapid development of highly specialized plugins, unlocking new opportunities: the creation of micro-SaaS applications tailored to very specific niches. A notable example is the development of custom image analysis macros, designed for precise use cases and accessible to all.

This represents a true revolution for laboratories, which can now automate and personalize their image processing workflows with unprecedented agility.

A Space for Dialogue and Co-Creation

Through this committee, Ritme continues its mission: supporting scientists in integrating AI into their practices, organizations, and information systems, as part of its Effisciance program.

This collaborative dynamic allows Ritme to identify emerging trends, test innovative approaches, and imagine together the solutions that will shape the science of tomorrow.


Speakers

image d'une ampoule en forme de cerveau
  • Clément CAHAGNE, AI, Pedagogy & Scientific Intelligence Consultant
  • Cynthia DAOUD, Scientific Monitoring & Writing Consultant
  • Jonathan DEDONDER, AI & Qualitative Analysis Consultant
  • Julien FRISCH, AI & Integration Consultant
  • Fabien MIART, AI & Image Analysis Consultant