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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Marsha Berger will deliver the John von Neumann Priize lecture at the Third Joint SIAM/CAIMS Annual Meetings (AN25), in Montréal, Québec, Canada.
Poorly understood interpatient differences in disease phenotypes complicate the development of effective therapeutics for atrial fibrillation.
SIAM celebrates the distinguished 2025 Class of MGB-SIAM Early Career Fellows.
The complexities that are inherent in soil hydraulic parameters make it difficult for land surface models to accurately represent soil moisture.
An educational experiment explores how individuals address problems with several solution paths and offers improved problem-solving strategies.
In celebration of Black History Month, SIAM highlights Toluwani Okunola and Shelby Wilson by recognizing their journeys and contributions.
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.
Frank Stenger, professor emeritus at the University of Utah and a giant in the field of numerical analysis, passed away on October 23, 2024.
Understanding the emergence of collective growth patterns requires drawing connections between several factors across a range of length scales.
Differential privacy can inform and analyze protocols that allow a server to learn statistics while still retaining tunable control of user privacy.
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