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You are here: Home / Grant / Catalyst Grant: Unleashing the power of AI

Catalyst Grant: Unleashing the power of AI

Deadline: 6 November 2023

Do you have an innovative idea for using artificial intelligence to drive progress in academic research? Digital Science is looking to support AI driven language technologies in line with its mission to support better, open, collaborative and inclusive research.

Digital Science believes there are opportunities both to augment the existing products and create new ways of supporting the research enterprise. With this in mind, Digital Science is looking for the best and most innovative uses of generative AI to support the research enterprise.

The Catalyst Grant is an international initiative to support innovation in new software tools and technologies to advance research and create meaningful change. The program supports and invests in early-stage ideas in the novel use of technology for the most promising ideas that aid science and further its impact on society. This year, they are focussing on AI-based solutions.

The Catalyst Grant desires to help early-stage software ideas come to fruition. They invest in the community, and they come from the community. The team is made up of people with research backgrounds and decades of experience within research software. For them, the grant’s real value is in starting conversations, some leading to awards, but the majority to the sharing of advice, the making of introductions and the cultivation of ideas.

Theme: Effective Use of AI to Further Research

Why apply for the Catalyst Grant?

  • Receive up to £25,000 equity-free funding
  • Access Digital Science’s network of technical and research experts
  • Raise the profile of your project through the global presence
  • Be part of advancing research and creating societal impact

Criteria

They want to support early-stage ideas and entrepreneurs in developing novel applications of AI that make a difference in areas such as:

  • Streamlining research workflows
  • Enhancing discovery and analysis
  • Improving accessibility and collaboration
  • Increasing reproducibility and trust.

For more information, visit Digital Science.

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