AI in national research ecosystems: progress, challenges and lessons learned

The ISC Centre for Science Futures published a significant report ‘Preparing National Research Ecosystems for AI: Strategies and progress in 2024’, which includes a thorough review of existing policy reports and documents on AI in science, accompanied by 18 country-specific case studies. These case studies highlighted key developments in AI and its implications for research and innovation.

The case studies investigate the role of science institutions and universities in shaping AI policies and priorities, alongside an assessment of the opportunities and challenges AI presents to science. By engaging experts from countries with diverse research ecosystems, the initiative fosters the sharing of experiences, strategies, and lessons learned in adopting AI for scientific advancement.

Through this initiative, the Centre provides a forum for dialogue, encouraging collaborative exploration of how AI can best serve the global research community.

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Discussions

Presentation by the Centre of Science Futures on the Science Systems Futures project, were followed by three different case studies from experts, followed by an open discussion.

Topics discussed by international experts included:

• Challenges and opportunities faced by countries in adopting AI.
• The influence of international frameworks on AI applications in science.
• Practical tools and strategies for integrating AI into research ecosystems.

The session aimed to deepen global engagement and foster collaboration, paving the way for more effective use of AI in advancing science.

Agenda

1. Opening on AI for Science project and Science Systems Futures
2. Three presentations from experts and case study authors: Colombia, South Africa and Malaysia
3. Questions for discussion between chair and speakers
4. Open discussion with participants
5. Closing and next steps

Photo by Glenn Carstens-Peters on Unsplash