Gender biases exist throughout the healthcare system, from medical research to disease diagnosis and treatment strategies.
Differential privacy protects individuals in a dataset from identification by injecting noise into the data.
Fluid flow in porous rock is especially relevant to the geosciences, climate studies, and various other areas.
Computational mechanics defines pattern and structure with the goal of detecting and quantifying the organization of complex systems.
One of the most exciting new capabilities of the Julia programming language is differentiable programming.
The AAAS Science & Technology Policy Fellowships place doctoral-level STEM professionals in government agencies.
The NSF's Transdisciplinary Research in Principles of Data Science program emphasizes interdisciplinary foundations and addresses cultural challenges.
ICIAM 2019 featured a special panel on mathematical science careers in academia and industry.
The 2019 SIAM International Conference on Data Mining featured a novel simulcast workshop on data mining in Africa.
SIAM members can now modify the delivery options for their SIAM News and SIAM Review subscriptions.
Mark Levi presents a few miscellaneous observations prompted by the boredom of a long drive on a sunny summer day.
On the occasion of the centenary of the birth of James H. Wilkinson, the University of Manchester held a conference.
Data science is everywhere, but how does it actually work? SIAM’s newest journal, the SIAM Journal on Mathematics of Data Science (SIMODS), aims to understand the deep inner workings of machine learning, artificial intelligence, signal processing, network science, and much more, championing the key role of mathematics within the increasingly important domain of data science.
SIAM Journal on Mathematics of Data Science (SIMODS) publishes work that advances mathematical, statistical, and computational methods in the context of data and information sciences. We invite papers that present significant advances in this context, including applications to science, engineering, business, and medicine.
Editor-in-Chief Tamara G. Kolda says, “As we move forward, SIMODS will establish mathematics' importance in the fast-growing domain of data science and serve as a home for those that work at this crossroads of mathematics, statistics, computer science, network science, signal processing, and other fields...We aim to have articles that challenge traditional thinking next to ones that explain the successes (and failures) of existing methods…We anticipate that these papers will not only be useful to data sciences but also have ramifications for traditional areas of applied mathematics research as they incorporate methods that have advanced in the data science regime.”
SIMODS began publishing articles electronically to Volume 1 in February 2019. Articles in Issue 1 and 2 are available for free through the end of 2020 here.