Exploring new statistical methods for science and engineering advancements.
Official title: PARTIAL SUPPORT OF THE STUDY ON FRONTIERS OF STATISTICS FOR SCIENCE AND ENGINEERING: 2035 AND BEYOND
Funded at National Academy of Sciences · NIH-11220009 · Data updated 2026-11-12
This study is all about finding better ways to analyze data in science and engineering, which could eventually help improve medical research and treatments for patients like you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | National Academy of Sciences NIH-funded |
| Lab location | 1 site (Washington, United States) |
| Project start | August 15, 2024 |
| Project end | August 14, 2026 |
| Funding year | 2024 |
| Award (this year) | $25,000 |
| NIH project number | 263201800029I-0-759802400006-1 |
| Project ID | NIH-11220009 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include individuals involved in scientific studies or engineering projects that rely on statistical analysis.
✕Less likely to help
Patients who are not engaged in scientific or engineering research may not receive direct benefits from this research.
What this research studies
This research focuses on advancing statistical methods that can be applied to various fields in science and engineering. By investigating innovative approaches and techniques, the project aims to enhance data analysis and interpretation, which could lead to more accurate results in scientific studies. Patients may benefit indirectly through improved research methodologies that could influence future medical advancements and treatments. The research will involve collaboration among experts in statistics and engineering to develop these new methodologies.
Why it matters
Potential benefit: If successful, this research could lead to more reliable and effective statistical tools that improve scientific research outcomes.
How similar studies have gone: While this research explores new frontiers, similar approaches in statistical advancements have shown promise in enhancing research methodologies in various fields.
Where this research is happening
-
National Academy of Sciences
Washington, United States Active
Researchers
- Principal investigator: Day, Robert — National Academy of Sciences
- Study coordinator: Day, Robert
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.