HACID: Hybrid Human Artificial Collective Intelligence
in Open-Ended Domains

HACID is a game-changing hybrid collective intelligence technology for decision support. Our cutting-edge system helps professionals tackle complex open-ended problems with ease, while ensuring engagement, fairness, and trust.

Discover HACID’s potential and learn how it revolutionizes decision support across various domains.

News

A new video from our series explains how hybrid collective intelligence can be integrated with the Human…

Yet another video from our series explaining hybrid collective intelligence and its implications to…

We have published the second short video of our series on hybrid collective intelligence. This time,…

In this new video, we explain what is hybrid collective intelligence—the improved ability to solve…

HACID partners from the Met Office are co-organising a session at the European Geosciences Union…

Photo by Antoni Shkraba Studio: https://www.pexels.com/photo/doctors-examining-an-x-ray-image-on-a-laptop-5214994/

Addressing Core Weaknesses and Advancing the Capabilities of Today’s LLMs In this webinar, hosted…

Photo by cottonbro studio: https://www.pexels.com/photo/photo-of-people-using-their-smartphones-8088445/

This webinar examined the integration of gender and diversity perspectives in the emerging field of…

Copyright MPI Human Behaviour

Our latest study published on PNAS demonstrates that the combination of human expertise with the capacity…

Case Studies

Photo by EVG Kowalievska: https://www.pexels.com/photo/three-person-looking-at-x-ray-result-1170979/

Medical Diagnostics

Leveraging the wisdom of the crowd to reduce diagnostic error

Photo by ArtHouse Studio: https://www.pexels.com/photo/burning-earth-globe-in-plastic-bag-4310210/

Climate Change Adaptation Management

Exploiting collective intelligence for improving resilience against future climate hazards

HACID is a HORIZON Innovation Action, a collaborative project funded under the Horizon Europe Programme, within the topic “AI, Data and Robotics at work” (HORIZON-CL4-2021-DIGITAL-EMERGING-01-10, Grant Agreement ID: 101070588).

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