Research
Decoding Mobility Data in Disease Models: From Infection Dynamics to Health Economics
The continual evolution of human mobility data sources reveals ongoing challenges in epidemiological modeling and the interpretation of results.
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The complexities that are inherent in soil hydraulic parameters make it difficult for land surface models to accurately represent soil moisture.
Poorly understood interpatient differences in disease phenotypes complicate the development of effective therapeutics for atrial fibrillation.
An educational experiment explores how individuals address problems with several solution paths and offers improved problem-solving strategies.
The first annual meeting of the Northern and Central California Section of SIAM took place in October 2024 at the University of California, Merced.
Recent efforts have sought to move the process of neuromotor stroke recovery to the home through technology-based interventions.
Persistent homology can extract invariant shape features from medical images to reveal patterns in tumor growth and help predict survival risk.
When a golf ball bounces on turf, the ball remains rigid while the turf deforms upon impact — making certain assumptions obsolete.
Marissa Gee of Kenyon College and Trevor Leslie of the Illinois Institute of Technology were selected as the newest SIAM Project NExT Fellows.
The authors of "An Introduction to the Numerical Simulation of Stochastic Differential Equations" reflect on their book and share a short excerpt.
Paula White, the Membership Manager at SIAM, highlights some noteworthy membership accomplishments of the past year and explains their impacts.
Kivmars Bowling, SIAM's Director of Publications, discusses several new SIAM initiatives amidst the changing environment of scholarly publishing.
Ernest Davis reviews "The Tech Coup: How to Save Democracy from Silicon Valley" by Marietje Schaake.
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