2611649
Project Grant
Overview
Grant Description
Conference: 2026 ASA Statistical Methods in Imaging (SMI) Conference
The 2026 ASA Statistical Methods in Imaging (SMI) Conference will take place June 1-3, 2026 at the University of Michigan in Ann Arbor.
This annual symposium serves as a vital hub for bringing together researchers to discuss the rapidly evolving role of statistics, mathematics, and AI in imaging science.
From medical scans that detect disease to telescopes that capture distant galaxies, images are fundamental to modern discovery.
However, extracting reliable and meaningful information from this visual data requires sophisticated mathematical, advanced statistical tools, and novel AI services.
This conference fosters the collaboration needed to develop these tools, ensuring that scientific breakthroughs, from earlier disease detection to more accurate climate models, are built on a solid analytical foundation.
By hosting this event, the University of Michigan will catalyze interdisciplinary dialogue, support the training of the next generation of data scientists through student awards and travel scholarships, and make advanced research accessible to a wider scientific community.
The SMI-2026 Conference will highlight the intersection of scientific innovation and cultural enrichment, and demonstrate how mathematical sciences contribute to a broader understanding of the world.
The technical program for the SMI 2026 Conference is designed to showcase cutting-edge methodological developments and their applications in imaging science.
Over three days, the symposium will feature three keynote addresses from leading international experts, twenty special invited sessions, two short courses, student competitions, and networking events.
A rigorous peer-review process will be implemented to select the best theoretical and applied papers, with a dedicated competition and award for the best student paper.
The conference aims to highlight novel statistical approaches for complex imaging data, including high-dimensional inference, machine learning integration, and the analysis of multi-modal images.
By leveraging the unique resources at the University of Michigan, such as the Statistics Online Computational Resource (SOCR), Biostatistics and Bioinformatics Centers, and the AI Institutes at Michigan, the symposium will facilitate hands-on demonstrations and deep dives into computational tools.
The organizers will coordinate with the leadership of the ASA Journal Statistics and Data Science in Imaging to publish a special proceedings issue, ensuring that the presented research has a lasting impact on the mathematical sciences community.
Workshop website: https://www.statsinimaging.org/smi-2026/
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
Subawards are not planned for this award.
The 2026 ASA Statistical Methods in Imaging (SMI) Conference will take place June 1-3, 2026 at the University of Michigan in Ann Arbor.
This annual symposium serves as a vital hub for bringing together researchers to discuss the rapidly evolving role of statistics, mathematics, and AI in imaging science.
From medical scans that detect disease to telescopes that capture distant galaxies, images are fundamental to modern discovery.
However, extracting reliable and meaningful information from this visual data requires sophisticated mathematical, advanced statistical tools, and novel AI services.
This conference fosters the collaboration needed to develop these tools, ensuring that scientific breakthroughs, from earlier disease detection to more accurate climate models, are built on a solid analytical foundation.
By hosting this event, the University of Michigan will catalyze interdisciplinary dialogue, support the training of the next generation of data scientists through student awards and travel scholarships, and make advanced research accessible to a wider scientific community.
The SMI-2026 Conference will highlight the intersection of scientific innovation and cultural enrichment, and demonstrate how mathematical sciences contribute to a broader understanding of the world.
The technical program for the SMI 2026 Conference is designed to showcase cutting-edge methodological developments and their applications in imaging science.
Over three days, the symposium will feature three keynote addresses from leading international experts, twenty special invited sessions, two short courses, student competitions, and networking events.
A rigorous peer-review process will be implemented to select the best theoretical and applied papers, with a dedicated competition and award for the best student paper.
The conference aims to highlight novel statistical approaches for complex imaging data, including high-dimensional inference, machine learning integration, and the analysis of multi-modal images.
By leveraging the unique resources at the University of Michigan, such as the Statistics Online Computational Resource (SOCR), Biostatistics and Bioinformatics Centers, and the AI Institutes at Michigan, the symposium will facilitate hands-on demonstrations and deep dives into computational tools.
The organizers will coordinate with the leadership of the ASA Journal Statistics and Data Science in Imaging to publish a special proceedings issue, ensuring that the presented research has a lasting impact on the mathematical sciences community.
Workshop website: https://www.statsinimaging.org/smi-2026/
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
Subawards are not planned for this award.
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Ann Arbor,
Michigan
48109-1015
United States
Geographic Scope
Single Zip Code
Related Opportunity
NOT APPLICABLE
Regents Of The University Of Michigan was awarded
Project Grant 2611649
worth $25,000
from the Division of Mathematical Sciences in June 2026 with work to be completed primarily in Ann Arbor Michigan United States.
The grant
has a duration of 5 months and
was awarded through assistance program 47.049 Mathematical and Physical Sciences.
Status
(Ongoing)
Last Modified 4/6/26
Period of Performance
6/1/26
Start Date
11/30/26
End Date
Funding Split
$25.0K
Federal Obligation
$0.0
Non-Federal Obligation
$25.0K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2611649
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
490304 DIVISION OF MATHEMATICAL SCIENCES
Funding Office
490304 DIVISION OF MATHEMATICAL SCIENCES
Awardee UEI
GNJ7BBP73WE9
Awardee CAGE
03399
Performance District
MI-06
Senators
Debbie Stabenow
Gary Peters
Gary Peters
Modified: 4/6/26