This report reflects the voices of more than 3,000 researchers worldwide. Their insights reveal resilience, collaboration across borders and an unwavering commitment to integrity, even under growing pressure. They also show optimism about how AI can accelerate discovery — provided researchers have the right support, and tools that are built on quality, transparency and trust. . . .
Most (58%) say AI tools save them time, but are selective about where they see greatest impact. Researchers currently use AI tools to:
- Find and summarize the latest research (61%)
- Perform literature reviews (51%)
- Analyze research data (38%)
- Draft grant proposals (41%)
- Draft research papers or reports (38%). . . .
Despite the challenges, peer review remains the cornerstone of research integrity. Researchers emphasize the need for trust markers to strengthen confidence in research and AI tools alike:
- Transparency and clear citations (59%)
- Recency of data and inclusion of up-to-date literature (55%)
- Training on high-quality, peer-reviewed content (55%)
- Regular human validation of AI outputs (49%)
| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |
