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.
By Eiichiro Kanda The kidney is an important organ that filters blood, controls body fluids and various electrolytes, and removes toxins from the body. Chronic kidney disease (CKD) comprises ...
By Mikhael Carmona, Victor Chepoi, Guyslain Naves, and Pascal PréaSIAM Journal on Mathematics of Data Science, Volume 5, Issue 1, Page 201-221, March 2023. Abstract. Recently, Armstrong, Guzmán, and Sing Long [SIAM J. Math. Data Sci., 3 (2021),...
Saint John E2L 4L5, NB, Canada
By Tianjiao Li, Guanghui Lan, and Ashwin PananjadySIAM Journal on Mathematics of Data Science, Volume 5, Issue 1, Page 174-200, March 2023. Abstract. We study the problem of policy evaluation with linear function approximation and present...
By Clément Elvira and Cédric HerzetSIAM Journal on Mathematics of Data Science, Volume 5, Issue 1, Page 147-173, March 2023. Abstract. In this paper we propose a methodology to accelerate the resolution of the...
By Nathaniel Linden , Padmini Rangamani , and Boris Kramer An ongoing challenge in systems biology—the field of computational biology that employs mathematical modeling to study signal ...
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Information shared by Lewis-Burke Associates LLC – February 2023 Below are highlights of recent and upcoming funding and engagement opportunities from the National Science Foundation (NSF) ...
The two NSF-CBMS Regional Research Conferences in the Mathematical Sciences for 2023 are now set! These are a series of five-day conferences that feature a distinguished lecturer and seek to ...
By Farzan Farnia, William W. Wang, Subhro Das, and Ali JadbabaieSIAM Journal on Mathematics of Data Science, Volume 5, Issue 1, Page 122-146, March 2023. Abstract. Generative adversarial networks (GANs) learn the distribution of observed samples through a zero-sum...
By Aurore Archimbaud, Zlatko Drmač, Klaus Nordhausen, Una Radojičić, and Anne Ruiz-GazenSIAM Journal on Mathematics of Data Science, Volume 5, Issue 1, Page 97-121, March 2023. Abstract. Invariant coordinate selection (ICS) is a multivariate data transformation and a dimension reduction...
We are excited to announce the 2023 SIAM Science Policy Fellowship Program recipients. This program engages early career professionals in science policy and advocacy. Fellowship recipients learn ...
Last edited: 3/29/23 March is Women's History Month! SIAM recognizes and honors women in the applied mathematics and computational science field for their contributions and achievements. This ...
SIAM is pleased to announce the Program Committee for the SIAM International Conference on Data Mining (SDM23) . Program Committee Name ...
SIAM is pleased to announce the Senior Program Committee for the SIAM International Conference on Data Mining (SDM23) . As part of the submission procedure , SDM23 authors are asked to identify ...
By Lina Sorg Extreme rainfall events, such as severe thunderstorms, can lead to flash flooding and cause significant damage to both life and infrastructure. Effective forecasting of such ...
Corvallis, OR, United States
By Volker H. SchulzSIAM Review, Volume 65, Issue 1, Page 319-328, February 2023. Our section starts with Rob Kirby's featured review on the book Numerical Methods for Elliptic and Parabolic Partial Differential...
By Daniele Avitabile, Joshua L. Davis, and Kyle WedgwoodSIAM Review, Volume 65, Issue 1, Page 147-182, February 2023. Bump attractors are wandering localized patterns observed in in vivo experiments of spatially extended neurobiological networks. They are important...
By Eunice Y. S. Chan and Robert M. CorlessSIAM Review, Volume 65, Issue 1, Page 261-290, February 2023. The chaos game representation (CGR) is an interesting method to visualize one-dimensional sequences. In this paper, we show how...
By Hélène FrankowskaSIAM Review, Volume 65, Issue 1, Page 259-260, February 2023. In this issue the Education section presents two contributions. The first paper is “Chaos Game Representation” (CGR), written...
By Kimon Fountoulakis, Meng Liu, David F. Gleich, and Michael W. MahoneySIAM Review, Volume 65, Issue 1, Page 59-143, February 2023. Clustering points in a vector space or nodes in a graph is a ubiquitous primitive in statistical data analysis,...
By Martin DonatiSIAM Review, Volume 65, Issue 1, Page 227-257, February 2023. In this paper, we prove that in bounded planar domains with $C^{2,\alpha}$ boundary, for almost every initial condition in...
By Amir Ali Ahmadi and Bachir El KhadirSIAM Review, Volume 65, Issue 1, Page 183-223, February 2023. We present a mathematical and computational framework for learning a dynamical system from noisy observations of a few...
By F. Llorente, L. Martino, D. Delgado, and J. López-SantiagoSIAM Review, Volume 65, Issue 1, Page 3-58, February 2023. This is an up-to-date introduction to, and overview of, marginal likelihood computation for model selection and hypothesis testing. Computing...
By Stefan M. WildSIAM Review, Volume 65, Issue 1, Page 145-145, February 2023. What surprising patterns do fluid dynamics and neurobiological networks have in common? In this issue's first Research Spotlights article,...
By The EditorsSIAM Review, Volume 65, Issue 1, Page 225-225, February 2023. The SIGEST article in this issue, “Improbability of Collisions of Point-Vortices in Bounded Planar Domains,” by Martin Donati, is...
By William A. Clark, Mario W. Gomes, Arnaldo Rodriguez-Gonzalez, Leo C. Stein, and Steven H. StrogatzSIAM Review, Volume 65, Issue 1, Page 291-315, February 2023. We revisit a textbook example of a singularly perturbed nonlinear boundary-value problem. Unexpectedly, it shows a wealth of phenomena...
By Marlis HochbruckSIAM Review, Volume 65, Issue 1, Page 1-1, February 2023. Marginal likelihood and Bayes factors are key components of the Bayesian analysis used in hypothesis testing and model selection....
By Adam Li, Ronan Perry, Chester Huynh, Tyler M. Tomita, Ronak Mehta, Jesus Arroyo, Jesse Patsolic, Ben Falk, Sridevi Sarma, and Joshua VogelsteinSIAM Journal on Mathematics of Data Science, Volume 5, Issue 1, Page 77-96, March 2023. Abstract. Decision forests, in particular random forests and gradient boosting trees have demonstrated state-of-the-art...
By Christian Bayer, Peter K. Friz, and Nikolas TapiaSIAM Journal on Mathematics of Data Science, Volume 5, Issue 1, Page 50-76, March 2023. Abstract. Using rough path techniques, we provide a priori estimates for the output of...
By Léon Zheng, Elisa Riccietti, and Rémi GribonvalSIAM Journal on Mathematics of Data Science, Volume 5, Issue 1, Page 22-49, March 2023. Abstract. Fast transforms correspond to factorizations of the form [math], where each factor [math]...
By Francesco Tudisco and Desmond J. HighamSIAM Journal on Mathematics of Data Science, Volume 5, Issue 1, Page 1-21, March 2023. Abstract. Core-periphery detection is a key task in exploratory network analysis where one aims...
By Antonin Chambolle and Juan Pablo ContrerasSIAM Journal on Mathematics of Data Science, Volume 4, Issue 4, Page 1369-1395, December 2022. Abstract. This paper discusses the efficiency of Hybrid Primal-Dual (HPD) type algorithms to approximately...
By Boris Landa, Thomas T. C. K. Zhang, and Yuval KlugerSIAM Journal on Mathematics of Data Science, Volume 4, Issue 4, Page 1420-1446, December 2022. Abstract. Estimating the rank of a corrupted data matrix is an important task in...
By Yehuda Dar and Richard G. BaraniukSIAM Journal on Mathematics of Data Science, Volume 4, Issue 4, Page 1447-1472, December 2022. Abstract. We study the transfer learning process between two linear regression problems. An important...
By Emmanuel Chevallier, Didong Li, Yulong Lu, and David DunsonSIAM Journal on Mathematics of Data Science, Volume 4, Issue 4, Page 1347-1368, December 2022. Abstract. In many applications, the curvature of the space supporting the data makes the...
By Florian Maire and Pierre VandekerkhoveSIAM Journal on Mathematics of Data Science, Volume 4, Issue 4, Page 1293-1319, December 2022. Abstract. A novel strategy that combines a given collection of [math]-reversible Markov kernels is...
By Philip A. Etter and Lexing YingSIAM Journal on Mathematics of Data Science, Volume 4, Issue 4, Page 1320-1346, December 2022. Abstract. In the computational sciences, one must often estimate model parameters from data subject...
By Sjoerd Dirksen, Shahar Mendelson, and Alexander StollenwerkSIAM Journal on Mathematics of Data Science, Volume 4, Issue 4, Page 1396-1419, December 2022. Abstract. We study the problem of generating a hyperplane tessellation of an arbitrary set...
By Tao Luo, Zheng Ma, Zhi-Qin John Xu, and Yaoyu ZhangSIAM Journal on Mathematics of Data Science, Volume 4, Issue 4, Page 1272-1292, December 2022. Abstract. Recent works show the intriguing phenomenon of the frequency principle (F-Principle) that deep...
By Martin Hanik, Hans-Christian Hege, and Christoph von TycowiczSIAM Journal on Mathematics of Data Science, Volume 4, Issue 4, Page 1223-1249, December 2022. Abstract. Data sets sampled in Lie groups are widespread, and as with multivariate data,...
By Alexander Dunlap and Jean-Christophe MourratSIAM Journal on Mathematics of Data Science, Volume 4, Issue 4, Page 1250-1271, December 2022. Abstract. Sum-of-norms clustering is a convex optimization problem whose solution can be used...
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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.
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.
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.
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.