This research area covers mathematics and computational methods in data science that includes machine learning and data mining, intertwined with other key areas such as statistics, computer science, network science, and signal processing - all within the context of data science as well as applications of mathematical methods in data/information processing to science and engineering problems.

Upcoming Related Conferences

Research Area Announcements

Data Science Book Series

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 Préa SIAM 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),...

By Tianjiao Li, Guanghui Lan, and Ashwin Pananjady SIAM 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 Herzet SIAM 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 ...

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 Jadbabaie SIAM 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-Gazen SIAM 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 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 ...

By Volker H. Schulz SIAM 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 Wedgwood SIAM 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. Corless SIAM 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 Mikhael Carmona, Victor Chepoi, Guyslain Naves, and Pascal Préa SIAM 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),...

By Tianjiao Li, Guanghui Lan, and Ashwin Pananjady SIAM 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 Herzet SIAM 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 Farzan Farnia, William W. Wang, Subhro Das, and Ali Jadbabaie SIAM 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-Gazen SIAM 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...

By Volker H. Schulz SIAM 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 Wedgwood SIAM 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. Corless SIAM 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 Frankowska SIAM 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. Mahoney SIAM 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 Donati SIAM 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 Khadir SIAM 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-Santiago SIAM 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. Wild SIAM 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 Editors SIAM 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. Strogatz SIAM 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 Hochbruck SIAM 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 Vogelstein SIAM 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 Tapia SIAM 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 Gribonval SIAM 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. Higham SIAM 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 Contreras SIAM 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 Kluger SIAM 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. Baraniuk SIAM 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 Dunson SIAM 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 Vandekerkhove SIAM 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 Ying SIAM 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 Stollenwerk SIAM 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 Zhang SIAM 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 Tycowicz SIAM 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 Mourrat SIAM 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...

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 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 ...

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 ...

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 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 ...

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.

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.

The purpose of this activity group is to advance the mathematics of data science, to highlight the importance and benefits of data science, and to identify and explore the connections between data science and other applied sciences.

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.

Multiscale Modeling & Simulation
SIAM J. on Applied Algebra and Geometry
SIAM J. on Applied Dynamical Systems
SIAM J. on Applied Mathematics
SIAM J. on Computing
SIAM J. on Control and Optimization
SIAM J. on Discrete Mathematics
SIAM J. on Financial Mathematics
SIAM J. on Imaging Sciences
SIAM J. on Mathematical Analysis
SIAM J. on Matrix Analysis and Applications
SIAM J. on Numerical Analysis
SIAM J. on Optimization
SIAM J. on Scientific Computing
SIAM/ASA J. on Uncertainty Quantification
SIAM Review
Theory of Probability & Its Applications

General Opportunities

We know it can be overwhelming to keep track of career opportunities that may be relevant to you as a member of the SIAM community. So, we’ve compiled lists of some of our favorite fellowship, internship, and research opportunities. Check ‘em out!

Fellowships

Looking for financial support to further your research? Fellowships often provide funding plus experiential learning opportunities to young researchers. Learn more about fellowship opportunities.

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.