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Statistical Methods and Mathematical Analysis for Quantum Information Science
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Data Sciences for Mesoscale and Macroscale Materials Models
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Mathematical and Statistical Foundations of Digital Twins
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Two-Dimensional Random Geometry
July 8 — 12, 2024
Summer School
AI+Science Summer School 2024
July 15 — 19, 2024
Workshop
Computational Imaging
August 5 — 9, 2024
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The Architecture of Green Energy Systems: Next Steps
August 19 — 21, 2024
Workshop
Data Sciences for Mesoscale and Macroscale Materials Models
May 13 — 17, 2024
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Career Paths in the Mathematical Sciences
June 6 — 7, 2024
Summer School
Summer Undergraduate Mathematics and Statistics Accelerator (SUMSA)
June 10 — August 2, 2024
Workshop
The Architecture of Green Energy Systems: The Underlying Problem and Its
Challenges
June 17 — 21, 2024
Workshop
Mathematical and Statistical Foundations of Digital Twins
June 26 — 28, 2024
Workshop
Two-Dimensional Random Geometry
July 8 — 12, 2024
Summer School
AI+Science Summer School 2024
July 15 — 19, 2024
Workshop
Computational Imaging
August 5 — 9, 2024
Workshop
The Architecture of Green Energy Systems: Next Steps
August 19 — 21, 2024
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Climate change is one of the most pressing issues facing the modern world, with
growing and important impacts on natural systems and human life.


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The surging data generation capabilities of modern sensors and networked systems
and the vastly increased data processing power of computers and storage media
have led to the accumulation of enormous volumes of disparate data.


HEALTH CARE & MEDICINE

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with examples including the validation of the effectiveness of new drugs,
estimation of survival rates for patients undergoing treatments, and medical
imaging (CT scans and MRIs).


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Materials science is about the discovery, design and development of new
materials in areas such as nanotechnology, biomedicine, metallurgy, forensic
science, quantum computing, and development of more efficient energy resources.


QUANTUM COMPUTING & INFORMATION

There are many challenges, both practical and theoretical, in the emerging and
exciting areas of quantum information and computing, which seek to make
effective use of the information embedded in the state of a quantum system, and
promise to solve previously intractable computational problems and revolutionize
simulation.


UNCERTAINTY QUANTIFICATION

Uncertainty is ubiquitous in the modern world. This raises profound challenges
in any effort to model massively complex phenomena.


NEWS

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Learning Collective Variables and Coarse Grained Models Poster Session
April 15, 2024 Read More
Statisticians’ and Mathematicians’ Critical Contributions to Climate Science and
Policy
February 7, 2023 Read More
American Physical Society 2022 Excellence in Physics Education Award for TEAM-UP
Task Force
May 3, 2022 Read More
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IMSI acknowledges support from the National Science Foundation.
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