In alignment with the UNESCO Recommendation on Open Science, UNESCO’s Remote Access to Lab Equipment (UNESRALE) Initiative and under the umbrella of the International Decade of Sciences for Sustainable Development (IDSSD), UNESCO in collaboration with the Chinese Academy of Sciences are launching a call for remote access and training on the ScienceOne platform for AI use in scientific research.
ScienceOne is a one-stop scientific research platform designed to support the complete scientific research process, from hypothesis formulation and literature analysis to modeling-driven simulation, experimental reasoning, and knowledge discovery. By integrating large language models, scientific knowledge bases, and intelligent toolchains, ScienceOne platform enables researchers to navigate complex research tasks more efficiently and systematically, advancing the use of AI in scientific inquiry.
This initiative offers a structured series of training courses that guide participants from fundamental AI concepts to practical research applications. Combining machine learning foundations, LLM fine-tuning, and hands-on platform use, the training adopts a balanced theory-and-practice approach to help researchers effectively apply AI in everyday research work, and accelerating scientific discovery across diverse research domains.
Training Structure and Content
The training is delivered primarily through remote learning and guided practice, and covers both foundational concepts and applied methodologies, including:
- AI foundations for scientific research
- Preparing AI-ready research data
- AI-driven knowledge discovery
- AI agents and toolchains
- Applied use of the ScienceOne platform
The training targets research areas where AI has strong potential to accelerate scientific discovery, including but not limited to:
- Life Sciences
- Physics
- Materials Science
- Earth & Environmental Sciences
- Other related fields in basic and applied sciences
Eligibility Criteria
The programme is open to young researchers, including PhD candidates, postdoctoral fellows, junior faculty members having completed their PhD within 5 years. Applicants should be actively engaged in basic sciences or closely related to applied research, or collaborating with researchers in these areas, and must demonstrate good proficiency in English, as all training activities will be conducted in English.
Deadline for submitting applications: March 31st 2026.
Training period: April 2026 - October 2026.
For inquiries, please contact lab-remote.access@unesco.org and
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