Volume 53 | Number 05 | June 2020

Networked Epidemiology for COVID-19

Researchers outline an approach to support the COVID-19 response with examples rooted in network science and data-driven modeling.

First-principles Machine Learning for COVID-19 Modeling

Researchers employ a method developed for the prediction of chaotic dynamical systems and apply it to COVID-19.

Applied mathematician Harvey Thomas Banks passed away after a short illness on December 31, 2019.

SIAM News editor-in-chief Hans Kaper introduces the June 2020 special issue on infectious disease modeling, with particular emphasis on COVID-19.

Samuel Awoniyi employs Markov chain modeling to compare two possible systems for curbing COVID-19 spread in the U.S.

Researchers model patient care and resource allocation during COVID-19 and account for a possible second wave.

The DMS issued a set of 15 RAPID awards over the span of several weeks that could have a significant impact in mitigating the spread of COVID-19.

A team of students from Pine View School in Osprey, Fla., took home the top prize in the 2020 M3 Challenge.

High school teacher Alexandra Schmidt details her decision to launch a semester-long math modeling course.

Joshua Gordon, director of the NIMH, encourages mathematicians to explore collaborations with the mental health research community.

The theory of mean field games is exciting source of progress in the study of large dynamic stochastic systems.

We invite you to submit proposals of special sessions for the third Mathematical Congress of the Americas.

Over the last few months, several SIAM members were recognized in various capacities for their outstanding work.

SICON is seeking submissions for a Special Section that amasses contributions on epidemic spread processes.

The 2020 revision of the Mathematics Subject Classification was published earlier this year.

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