Society for Industrial and Applied Mathematics

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Society for Industrial and Applied Mathematics (SIAM), is an international society that helps build cooperation between math and the worlds of science and technology to solve real-world problems through publications, conferences, programs, & communities.

How is AI reshaping mathematics?At , Ken Ono (Axiom Math and University of Virginia) will explore how tools such as la...
06/05/2026

How is AI reshaping mathematics?

At , Ken Ono (Axiom Math and University of Virginia) will explore how tools such as large language models and formal proof assistants are changing mathematical discovery and verification.

In his invited presentation, “Mathematics in the Age of AI: Discovery, Verification, and the Future of Proof,” Ono will examine how these approaches can support research while raising new questions about rigor, attribution, and how mathematical ideas are developed, checked, and communicated.

Join us at to hear this and other invited presentations throughout the program. Read the full abstract:
https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=88469

June 5 is , a reminder of how much there is still to understand about our planet and a changing climate.During the 2019...
06/05/2026

June 5 is , a reminder of how much there is still to understand about our planet and a changing climate.

During the 2019-2020 Australian wildfires, Earth-observation satellites identified peculiar smoke-swirling patterns: the rising of the smoke and the formation of rotated in a single direction. In the June issue of SIAM News, Matthew Francis details a new paper that explores the behind why these smoke vortices defied ordinary . https://www.siam.org/publications/siam-news/articles/why-does-wildfire-smoke-circulate-in-one-direction/

In the June issue of SIAM News, recipients of funding from the SIAM Postdoctoral Fellows Program, Gabriela Kováčová and ...
06/03/2026

In the June issue of SIAM News, recipients of funding from the SIAM Postdoctoral Fellows Program, Gabriela Kováčová and Igor Cialenco, explain their research on multi-objective control under model uncertainty. Funding from the SIAM program allowed them to widen the scope of their research to deeper theoretical questions and explore possible careers in the mathematical sciences. https://www.siam.org/publications/siam-news/articles/decision-making-with-vector-valued-objectives-under-model-uncertainty/

On the SIAM News Blog, Kelley Smith, Kevin Slote, Marrium Shamshad, Aditi Trivedi, Charles Epstein, Mukesh Dhamala, and ...
06/02/2026

On the SIAM News Blog, Kelley Smith, Kevin Slote, Marrium Shamshad, Aditi Trivedi, Charles Epstein, Mukesh Dhamala, and Igor Belykh detail their recent work that proposes a new method for detecting seizure onset zones: node degree volatility. By quantifying the rate of change in a node’s functional connectivity over time, node degree volatility can detect the rapid structural changes in the brain that indicate seizure initiation. Check it out! https://www.siam.org/publications/siam-news/articles/evolving-network-dynamics-reveal-critical-nodes-in-the-epileptic-brain/

As begins, SIAM recognizes and celebrates the + community, highlighting the important contributions of LGBTQIA+ profe...
06/01/2026

As begins, SIAM recognizes and celebrates the + community, highlighting the important contributions of LGBTQIA+ professionals within and the mathematical sciences.

Join us at the 2026 SIAM Annual Meeting, July 6-10, in Cleveland, Ohio!Don't miss the opportunity to connect with a glob...
05/30/2026

Join us at the 2026 SIAM Annual Meeting, July 6-10, in Cleveland, Ohio!

Don't miss the opportunity to connect with a global community of researchers, attend plenary talks and prize lectures, and explore new developments in applied mathematics, computational science, and data science.

Our lineup of invited speakers includes:
– Alvaro Cartea, Oxford University
– Lorin Crawford, Microsoft Research (Joint Plenary Speaker with )
– Katherine Evans, Oak Ridge National Laboratory (Joint Plenary Speaker with )
– Nalini Joshi, University of Sydney
– Rachel Levy, North Carolina State University (Joint Plenary Speaker with )
– Sue Minkoff, Brookhaven National Laboratory
– Luke Oeding, Auburn University
– Ken Ono, University of Virginia
– Simona Perotto, Politecnico di Milano
– Noemi Petra, University of California, Merced
– Jennifer Ryan, KTH Royal Institute of Technology
– Rekha Thomas, University of Washington
– Alexis Vasseur, University of Texas, Austin

Learn more about the invited presentations: https://www.siam.org/conferences-events/siam-conferences/an26/program/invited-presentations/

Register by June 8 to take advantage of early rates and access all technical sessions across AN26 and co‑located conferences: https://www.siam.org/conferences-events/siam-conferences/an26/registration/

Submissions are now open for the ACM-SIAM Symposium on Discrete Algorithms (SODA27)!Join us at , taking place January 2...
05/29/2026

Submissions are now open for the ACM-SIAM Symposium on Discrete Algorithms (SODA27)!

Join us at , taking place January 24–27, 2027, in Philadelphia, Pennsylvania. This symposium highlights research on the design and analysis of efficient algorithms and data structures, along with advances in combinatorics and discrete mathematics.

Submit your work by July 9, 2026: https://www.siam.org/conferences-events/siam-conferences/soda27/submissions/

Connect with fellow attendees on the LinkedIn event page: https://www.linkedin.com/events/7459620622625656832?viewAsMember=true

Still considering joining SIAM in Cleveland, Ohio this summer?The one-day, in-person course “From Data to Equations: Wea...
05/29/2026

Still considering joining SIAM in Cleveland, Ohio this summer?

The one-day, in-person course “From Data to Equations: Weak Form Methods for Discovering Models from Noisy Data” takes place on July 5 at the Huntington Convention Center of Cleveland.

This intensive course introduces modern weak-form scientific machine learning (WSciML) approaches for discovering governing equations directly from real, noisy datasets. Participants will engage in guided instruction and hands-on coding as they work through equation discovery and inverse problem workflows.

Led by David Bortz (University of Colorado Boulder) and Daniel Messenger (Los Alamos National Laboratory), the course is designed for applied mathematicians, computational scientists, and researchers seeking to strengthen their data-driven modeling toolkit.

Early registration rates are available through June 8.

Learn more and register:
https://www.siam.org/conferences-events/workshops/from-data-to-equations-weak-form-methods-for-discovering-models-from-noisy-data/

Address

3600 Market Street Fl 6
Philadelphia, PA
19104

Opening Hours

Monday 9am - 5pm
Tuesday 9am - 5pm
Wednesday 9am - 5pm
Thursday 9am - 5pm
Friday 9am - 5pm

Telephone

+12153829800

Website

https://www.linkedin.com/company/societyforindustrialandappliedmathematicssiam

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