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Amplifying the collective intelligence of
networked human groups using control algorithms

Connecting researchers through ideas

Using RAG and active inference methods

Maining original ideas

Predicting future hot topics and directions

Unlocking the Potential of RAG and Active Inference in Decision-Making

In the context of decentralized science (DeSci) movement and transition to open research infrastructure, Retrieval-Augmented Generation (RAG) empowers researchers to transcend traditional laboratory boundaries by facilitating search for relevant partners and research infrastructure. It enhances decision-making by analyzing researchers’ profiles and suggesting potential collaborators. This approach supports the transition from infrastructure-centric to idea-centric research, driving innovation and addressing complex problems collaboratively.

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