Decentralized science meets AI — legacy institutions aren’t ready

Key Points

  • Decentralized science (DeSci) and AI convergence could revolutionize traditional research by making it more open, efficient, and collaborative.
  • DeScAI envisions a system where science is decentralized, intelligent, autonomous, and radically open, potentially transforming how research is conducted and shared.

Summary

The article by Sasha Shilina discusses the potential transformation of the scientific research landscape through the integration of decentralized science (DeSci) and artificial intelligence (AI), termed DeScAI. Shilina highlights how traditional scientific institutions, with their gatekeeping mechanisms like paywalled journals and bureaucratic funding processes, are ill-prepared for this shift. DeSci, which has grown from a niche concept to a significant movement with a market cap of around $1 billion by early 2025, aims to dismantle these barriers. AI's role in this new paradigm is not just as a tool but as a fundamental component that could enhance the speed and quality of research by analyzing vast datasets, identifying patterns, and facilitating real-time, transparent peer reviews. DeScAI proposes a world where research data and findings are freely accessible, and where AI helps in creating a dynamic, interconnected research ecosystem. This system would allow for global collaboration without the constraints of geography or institutional affiliations, potentially leading to a more democratic and efficient scientific community. However, Shilina acknowledges that resistance from established institutions is expected, as they might see this shift as a threat to their control over knowledge production.

cointelegraph
March 15, 2025
Crypto
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