I’m very pleased to share an update on a project that I have been deeply involved in over the past months: the Springer Nature Handbook of Hybrid Intelligence, which I am co-editing together with an international team of colleagues. The project has now reached an exciting milestone — the official Call for Abstracts and Chapters is online on the Springer platform.

🔗 Call for Chapters & Handbook Information:
https://meteor.springer.com/HybridIntelligence

Why Hybrid Intelligence — and why a Handbook?

Hybrid Intelligence (HI) is emerging as a new paradigm for understanding and designing the interplay between human intelligence and machine/AI intelligence. Instead of focusing solely on artificial intelligence, HI asks a different question:
How do we intentionally combine human and machine capabilities to create systems that are adaptive, ethical, resilient, and able to deal with complexity?

This perspective reaches far beyond traditional AI research. It touches on:

• human cognition, reasoning, and inferential processes
• machine learning, AI systems, and robotics
• collective intelligence and organizational decision-making
• human–AI interaction and hybrid collaboration
• socio-technical systems and platforms
• governance, ethics, and responsible innovation

The Handbook aims to become a comprehensive reference work for this emerging field — bringing together conceptual foundations, methodological approaches, practical design frameworks, and forward-looking perspectives.

About the Call for Chapters

The call is now public on the Springer METEOR website. If you are working on topics around Hybrid Intelligence — whether conceptual, empirical, design-oriented, philosophical, organizational, or technical — I warmly encourage you to take a look.

The call provides:

• an overview of the Handbook’s structure
• background on the concept of Hybrid Intelligence
• guidance on what types of contributions we are looking for
• submission timelines and format details

To maintain the character of a reference work, contributions should offer structured overviews of a field, theory, or body of knowledge — potentially complemented by the authors’ own research, but not primarily centered on individual empirical findings.

An Interdisciplinary Effort

One of the most inspiring aspects of this project has been the cross-disciplinary dialogue it enables. Colleagues from AI research, cognitive science, systems thinking, information systems, organizational studies, ethics, cybernetics, robotics, and various applied domains have expressed interest.

Hybrid Intelligence is not confined to any one discipline — it is exactly the space where disciplines meet to make sense of new forms of intelligent systems and human–machine collaboration.

If You Are Interested…

Please feel free to explore the Handbook website and the call for contributions. And if you believe your work or perspective could meaningfully contribute to shaping this field, I would be delighted if you considered submitting an abstract.

🔗 Handbook website: https://meteor.springer.com/HybridIntelligence

I look forward to seeing the community come together around this topic — and to the many conversations that Hybrid Intelligence will spark in the years to come.