Did you know – SIAM recently launched a new Data Science Book Series! Data science is a forward-looking field and is seeing tremendous energy and growth. Have book ideas? We want to hear about them.
Are you a student or an early career SIAM member, 35 years old or younger, and have you made a charitable gift to SIAM in 2024? If so, you can now join Young Friends of SIAM! We ...
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By Haoyu Zhao, Konstantin Burlachenko, Zhize Li, and Peter RichtárikSIAM Journal on Mathematics of Data Science, Volume 6, Issue 1, Page 154-175, March 2024. Abstract.Due to the communication bottleneck in distributed and federated learning applications, algorithms using communication...
March is Women's History Month, and to celebrate, SIAM is featuring women within our community for their contributions to the applied mathematics and computational science field. Read the ...
By Igor Mezić Modeling of physical processes is the art of creating mathematical expressions that have utility for prediction and control. Historically, such models—like Isaac Newton’s ...
By Ernest Davis Unmasking AI: My Mission to Protect What is Human in a World of Machines. By Joy Buolamwini. Random House, New York, NY, October 2023. 336 pages, $28.99. Your Face ...
It is with deepest gratitude that we acknowledge the generous donors who supported SIAM in 2023. Many of SIAM's awards and honors, such as the recently established SIAM Activity Group on ...
By András Bota Pandemics, epidemic outbreaks, and emerging diseases pose a constant risk to society. Technological responses to the greatest public health emergencies of the 20th and early ...
By Elisa Negrini and Levon NurbekyanSIAM Journal on Mathematics of Data Science, Volume 6, Issue 1, Page 97-126, March 2024. Abstract. In this work, we investigate applications of no-collision transportation maps introduced by Nurbekyan...
By Michał Dereziński and Elizaveta RebrovaSIAM Journal on Mathematics of Data Science, Volume 6, Issue 1, Page 127-153, March 2024. Abstract. Sketch-and-project is a framework which unifies many known iterative methods for solving linear...
By Anatoli Juditsky and Arkadi NemirovskiSIAM Journal on Mathematics of Data Science, Volume 6, Issue 1, Page 76-96, March 2024. Abstract.A polyhedral estimate [A. Juditsky and A. Nemirovski, Electron. J. Stat., 14 (2020), pp....
By Pavél Llamocca Portella , César Guevara Maldonado , Yury Jiménez Agudelo , and Victoria López López Psychology and medicine—specifically the prediction, prevention, and treatment of ...
By Bjørn Fredrik Nielsen and Zdeněk StrakošSIAM Review, Volume 66, Issue 1, Page 125-146, February 2024. We analyze the spectrum of the operator $\Delta^{-1} [\nabla \cdot (K\nabla u)]$ subject to homogeneous Dirichlet or Neumann boundary...
By Anita T. LaytonSIAM Review, Volume 66, Issue 1, Page 193-201, February 2024. If you are keen to understand the world around us by developing mathematical or data-driven models, or if you...
By Eva-Maria Walz, Alexander Henzi, Johanna Ziegel, and Tilmann GneitingSIAM Review, Volume 66, Issue 1, Page 91-122, February 2024. How can we quantify uncertainty if our favorite computational tool---be it a numerical, statistical, or machine learning...
By Helene FrankowskaSIAM Review, Volume 66, Issue 1, Page 147-147, February 2024. In this issue the Education section presents two contributions. The first paper, “Resonantly Forced ODEs and Repeated Roots,”...
By Gabriel R. Barrenechea, Volker John, and Petr KnoblochSIAM Review, Volume 66, Issue 1, Page 3-88, February 2024. Convection-diffusion-reaction equations model the conservation of scalar quantities. From the analytic point of view, solutions of these equations satisfy,...
By Zongren Zou, Xuhui Meng, Apostolos F. Psaros, and George E. KarniadakisSIAM Review, Volume 66, Issue 1, Page 161-190, February 2024. Uncertainty quantification (UQ) in machine learning is currently drawing increasing research interest, driven by the rapid deployment of deep...
By Stefan M. WildSIAM Review, Volume 66, Issue 1, Page 89-89, February 2024. As modeling, simulation, and data-driven capabilities continue to advance and be adopted for an ever expanding set of applications...
By Allan R. WillmsSIAM Review, Volume 66, Issue 1, Page 149-160, February 2024. In a recent article in this journal, Gouveia and Stone [``Generating Resonant and Repeated Root Solutions to Ordinary Differential...
By The EditorsSIAM Review, Volume 66, Issue 1, Page 123-123, February 2024. The SIGEST article in this issue is “A Simple Formula for the Generalized Spectrum of Second Order Self-Adjoint Differential...
By Marlis HochbruckSIAM Review, Volume 66, Issue 1, Page 1-1, February 2024. Numerical methods for partial differential equations can only be successful if their numerical solutions reflect fundamental properties of the...
By Francis BachSIAM Journal on Mathematics of Data Science, Volume 6, Issue 1, Page 26-50, March 2024. Abstract. We consider linear regression problems with a varying number of random projections, where...
By Alec Koppel, Joe Eappen, Sujay Bhatt, Cole Hawkins, and Sumitra GaneshSIAM Journal on Mathematics of Data Science, Volume 6, Issue 1, Page 51-75, March 2024. Abstract. A fundamental challenge in Bayesian inference is efficient representation of a target distribution....
By Hwanwoo Kim, Daniel Sanz-Alonso, and Ruiyi YangSIAM Journal on Mathematics of Data Science, Volume 6, Issue 1, Page 1-25, March 2024. Abstract. This paper integrates manifold learning techniques within a Gaussian process upper confidence bound...
By Kevin Miller and Jeff CalderSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 1160-1190, December 2023. Abstract. We show that uncertainty sampling is sufficient to achieve exploration versus exploitation in...
By Aaron Berk, Simone Brugiapaglia, and Tim HoheiselSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 1102-1129, December 2023. Abstract. This paper provides a variational analysis of the unconstrained formulation of the LASSO...
By Yifan Zhang and Joe KileelSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 1130-1159, December 2023. Abstract. We present an alternating least squares (ALS) type numerical optimization scheme to estimate...
By Zaiwei Chen, John-Paul Clarke, and Siva Theja MaguluriSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 1078-1101, December 2023. Abstract. [math]-learning with function approximation is one of the most empirically successful while theoretically...
By Matteo Cacciola, Antonio Frangioni, Xinlin Li, and Andrea LodiSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 1051-1077, December 2023. Abstract. In machine learning, artificial neural networks (ANNs) are a very powerful tool, broadly...
By Nicolas KerivenSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 1028-1050, December 2023. Abstract. In graph analysis, a classic task consists of computing similarity measures between (groups...
By Eldad Haber, Moshe Eliasof, and Luis TenorioSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 1005-1027, December 2023. Abstract.Estimating a Gibbs density function given a sample is an important problem in computational...
By Nikhil Ghosh and Mikhail BelkinSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 977-1004, December 2023. Abstract. In this work we establish an algorithm and distribution independent nonasymptotic trade-off between...
By Yihang Gao, Michael K. Ng, and Mingjie ZhouSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 949-976, December 2023. Abstract. Studied here are Wasserstein generative adversarial networks (WGANs) with GroupSort neural networks as...
By Ramchandran Muthukumar and Jeremias SulamSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 920-948, December 2023. Abstract. This work studies the adversarial robustness of parametric functions composed of a linear...
By Gero Friesecke and Maximilian PenkaSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 899-919, December 2023. Abstract. We extend the recently introduced genetic column generation algorithm for high-dimensional multimarginal optimal...
By Michael Perlmutter, Alexander Tong, Feng Gao, Guy Wolf, and Matthew HirnSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 873-898, December 2023. Abstract. The scattering transform is a multilayered wavelet-based architecture that acts as a model...
By Daniel Beaglehole, Mikhail Belkin, and Parthe PanditSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 854-872, December 2023. Abstract. “Benign overfitting,” the ability of certain algorithms to interpolate noisy training data and...
By Brent Sprangers and Nick VannieuwenhovenSIAM Journal on Mathematics of Data Science, Volume 5, Issue 4, Page 829-853, December 2023. Abstract. Invariance has recently proven to be a powerful inductive bias in machine learning...
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SIAM is excited to announce the 2024 Class of MGB-SIAM Early Career Fellows. These accomplished early career professionals were chosen based on their achievements; active support of diversity, ...
This prize was created in 2013 to emphasize George Pólya’s legacy of communicating mathematics effectively. It joins two long-standing Pólya prizes SIAM has awarded in combinatorics and other fields beginning in 1969.
This joint prize was established in 2002 to honor Sonia Kovalevsky and her work on the theory of differential equations. It is awarded to anyone in the scientific or engineering community whose work highlights the achievements of women in applied and computational mathematics. Nominations can be submitted via the AWM website.
The SIAM Student Paper Prize is awarded annually to the student author(s) of the most outstanding paper(s) accepted by SIAM journals within the three years preceding the nomination deadline. Starting with the 2018 award, the focus of the prize is to recognize outstanding scholarship by students in SIAM journals.
The prize was established in 1986 in memory of Richard C. DiPrima, who served SIAM for many years and in 1979–1980 as SIAM President. It aims to recognize an early career researcher in applied mathematics and is based on the doctoral dissertation.
Established in 2021, the prize is awarded to an outstanding senior researcher who has made broad and influential contributions to the Mathematical, Statistical or Computational foundations of Data Science. The prize recognizes a research career in the Mathematics of Data Science at the highest level of achievement.
Established in 2021, the prize is awarded to an outstanding early career researcher in the Mathematics of Data Science, for distinguished contributions to the field in the six calendar years prior to the year of the award.
The Pioneer Prize is awarded every four years at the International Council for Industrial and Applied Mathematics (ICIAM) Congress to one individual for pioneering work introducing applied mathematical methods and scientific computing techniques to an industrial problem area or a new scientific field of applications. Nominations can be submitted via the ICIAM website.
Through the generosity and inspiration of Gerald and Judith Porter, the Mathematical Association of America (MAA), American Mathematical Society (AMS), and SIAM offer this annual lecture at the Joint Mathematics Meetings. The lecture, first awarded in 2010, is given on a mathematical topic accessible to the broader community.
Named in honor of I. E. Block, a co-founder and the first managing director of SIAM, this lecture is open to the public at the SIAM Annual Meeting. It is intended to encourage public appreciation of applied mathematics and computational science by reaching out to the local community.
Established in 1959, the prize honors John von Neumann, a founder of modern computing. The prize is awarded annually for distinguished contributions to applied mathematics and for the effective communication of these ideas to the community.
The JPBM Communications Award is given annually to reward and encourage communicators who, on a sustained basis, bring mathematical ideas and information to non-mathematical audiences. The prize may be awarded in two categories: For Public Outreach and For Expository and Popular Books. Nominations can be submitted via the AMS website.
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The MAA-SIAM-AMS Hrabowski-Gates-Tapia-McBay (HGTM) Lecture is named after four influential scientists of color: Freeman Hrabowski, President of the University of Maryland at Baltimore County; James S. Gates, University of Maryland, College Park; Richard Tapia, Rice University; and Shirley McBay, Founder and former President of Quality Education for Minorities. This lecture started in 2016 as an activity of the Mathematical Association of America’s Committee on Minority Participation and became a jointly sponsored MAA-SIAM-AMS event in 2018.
The prize recognizes students for outstanding solutions to real world math problems. It is awarded to six of the teams judged "Outstanding" in the Mathematical Contest in Modeling (MCM) administered annually by the Consortium for Mathematics and Its Applications (COMAP). Registration is accepted via the COMAP website.
The SIAM Outstanding Paper Prize is not currently active. For the 20 years before it was discontinued in 2019, the SIAM Outstanding Paper Prizes brought attention to papers published in SIAM journals. Three awards were made each year to the authors of papers deemed by SIAM journal editors-in-chief worthy of particular attention.
The prize, established in 1985 and originally intended to be awarded periodically, is now awarded annually for contributions to the advancement of applied mathematics on the national or international level.
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.
Looking for financial support to further your research? Fellowships often provide funding plus experiential learning opportunities to young researchers. Learn more about fellowship opportunities.
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Internships allow you to network and forge connections for future job possibilities, while also exploring possible areas of interest. Look at this list of companies who offer valuable opportunities.
Our community is founded on igniting groundbreaking developments in applied math and computational science. Take a deeper dive into your area of study with one of these opportunities.