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 Malena Español , Shelby Horth , Mary Ann Leung , and Victoria Uribe
In 2015, Mary Ann Leung—president and founder of the Sustainable Horizons Institute (SHI) —organized the first SHI ...

Following SIAM’s recent elections, we are pleased to announce our new members of the Board of Trustees and Council, as elected by the SIAM membership.
The Board is responsible for the ...

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 Cuneyt G. Akcora , Murat Kantarcioglu , and Yulia R. Gel
On October 31, 2008, the pseudonymous Satoshi Nakamoto posted a white paper titled “Bitcoin: A Peer-to-Peer Electronic Cash ...

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 L. P. Withers SIAM Review, Volume 64, Issue 4, Page 1031-1061, November 2022. A new theory of a generalized dual transform of a list of vectors is presented, emphasizing its geometry as...

By Volker H. Schulz SIAM Review, Volume 64, Issue 4, Page 1083-1095, November 2022. The book reviews sections starts off with a featured review that is dedicated in great depth to the collected...

By Alessio Spantini, Ricardo Baptista, and Youssef Marzouk SIAM Review, Volume 64, Issue 4, Page 921-953, November 2022. We consider filtering in high-dimensional non-Gaussian state-space models with intractable transition kernels, nonlinear and possibly chaotic dynamics, and sparse...

By Darinka Dentcheva SIAM Review, Volume 64, Issue 4, Page 1029-1029, November 2022. This issue of SIAM Review contains two papers in the Education section. The first, “A Generalized Dual Transform: Linear...

By Hamza Fawzi, Joao Gouveia, Pablo A. Parrilo, James Saunderson, and Rekha R. Thomas SIAM Review, Volume 64, Issue 4, Page 866-918, November 2022. This paper presents a selected tour through the theory and applications of lifts of convex sets. A lift of...

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 L. P. Withers SIAM Review, Volume 64, Issue 4, Page 1031-1061, November 2022. A new theory of a generalized dual transform of a list of vectors is presented, emphasizing its geometry as...

By Volker H. Schulz SIAM Review, Volume 64, Issue 4, Page 1083-1095, November 2022. The book reviews sections starts off with a featured review that is dedicated in great depth to the collected...

By Alessio Spantini, Ricardo Baptista, and Youssef Marzouk SIAM Review, Volume 64, Issue 4, Page 921-953, November 2022. We consider filtering in high-dimensional non-Gaussian state-space models with intractable transition kernels, nonlinear and possibly chaotic dynamics, and sparse...

By Darinka Dentcheva SIAM Review, Volume 64, Issue 4, Page 1029-1029, November 2022. This issue of SIAM Review contains two papers in the Education section. The first, “A Generalized Dual Transform: Linear...

By Hamza Fawzi, Joao Gouveia, Pablo A. Parrilo, James Saunderson, and Rekha R. Thomas SIAM Review, Volume 64, Issue 4, Page 866-918, November 2022. This paper presents a selected tour through the theory and applications of lifts of convex sets. A lift of...

By Leandro Farina, Guillaume Lang, and P. A. Martin SIAM Review, Volume 64, Issue 4, Page 831-865, November 2022. This paper is concerned mainly with the deceptively simple integral equation $$ \hskip2cm u(x) \pm \frac{1}{\pi}\int_{-1}^{1} \frac{\alpha u(y)}{\alpha^2+(x-y)^2}\,...

By Laetitia Gauvin, Mathieu Génois, Márton Karsai, Mikko Kivelä, Taro Takaguchi, Eugenio Valdano, and Christian L. Vestergaard SIAM Review, Volume 64, Issue 4, Page 763-830, November 2022. Many dynamical systems can be successfully analyzed by representing them as networks. Empirically measured networks and dynamic processes that...

By Misha E. Kilmer SIAM Review, Volume 64, Issue 4, Page 919-919, November 2022. The first Research Spotlights article in this issue is concerned with filtering, a task of paramount importance in a...

By The Editors SIAM Review, Volume 64, Issue 4, Page 989-989, November 2022. The SIGEST article in this issue is “A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging...

By Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, and Marco Viola SIAM Review, Volume 64, Issue 4, Page 954-988, November 2022. Large-scale optimization problems that seek sparse solutions have become ubiquitous. They are routinely solved with various specialized first-order methods....

By J. M. Sanz-Serna SIAM Review, Volume 64, Issue 4, Page 761-761, November 2022. This issue of SIAM Review contains three Survey and Review papers. When taken together, they show the enormous variety...

By Roel Snieder and Michael B. Wakin SIAM Review, Volume 64, Issue 4, Page 1062-1080, November 2022. Signals cannot always be sampled at their full desired resolution. In this Education article, we explore the benefits of...

By Marie Roald, Carla Schenker, Vince D. Calhoun, Tülay Adali, Rasmus Bro, Jeremy E. Cohen, and Evrim Acar SIAM Journal on Mathematics of Data Science, Volume 4, Issue 3, Page 1191-1222, September 2022. Analyzing multiway measurements with variations across one mode of the dataset is a challenge...

By Michaël Fanuel, Joachim Schreurs, and Johan A. K. Suykens SIAM Journal on Mathematics of Data Science, Volume 4, Issue 3, Page 1171-1190, September 2022. Semiparametric regression models are used in several applications which require comprehensibility without sacrificing accuracy....

By Abigail Hickok, Deanna Needell, and Mason A. Porter SIAM Journal on Mathematics of Data Science, Volume 4, Issue 3, Page 1116-1144, September 2022. We develop a method for analyzing spatial and spatiotemporal anomalies in geospatial data using...

By Bastian Bohn, Michael Griebel, and Dinesh Kannan SIAM Journal on Mathematics of Data Science, Volume 4, Issue 3, Page 1145-1170, September 2022. In this paper, we propose neural networks that tackle the problems of stability and...

By March Boedihardjo, Thomas Strohmer, and Roman Vershynin SIAM Journal on Mathematics of Data Science, Volume 4, Issue 3, Page 1082-1115, September 2022. In a world where artificial intelligence and data science become omnipresent, data sharing is...

By Yifeng Fan, Yuehaw Khoo, and Zhizhen Zhao SIAM Journal on Mathematics of Data Science, Volume 4, Issue 3, Page 1052-1081, September 2022. In the presence of heterogeneous data, where randomly rotated objects fall into multiple underlying...

By Boyue Li, Zhize Li, and Yuejie Chi SIAM Journal on Mathematics of Data Science, Volume 4, Issue 3, Page 1031-1051, September 2022. Emerging applications in multiagent environments such as internet-of-things, networked sensing, autonomous systems, and federated...

By Lea Bogensperger, Antonin Chambolle, and Thomas Pock SIAM Journal on Mathematics of Data Science, Volume 4, Issue 3, Page 1003-1030, September 2022. We analyze a “piggyback''-style method for computing the derivative of a loss which depends...

By Mathieu Barré, Adrien Taylor, and Alexandre d'Aspremont SIAM Journal on Mathematics of Data Science, Volume 4, Issue 3, Page 979-1002, September 2022. Among extrapolation methods, Anderson acceleration (AA) is a popular technique for speeding up convergence...

By Justin Solomon, Kristjan Greenewald, and Haikady Nagaraja SIAM Journal on Mathematics of Data Science, Volume 4, Issue 3, Page 957-978, September 2022. We introduce $k$-variance, a generalization of variance built on the machinery of random bipartite...

By Malena Español , Shelby Horth , Mary Ann Leung , and Victoria Uribe
In 2015, Mary Ann Leung—president and founder of the Sustainable Horizons Institute (SHI) —organized the first SHI ...

Following SIAM’s recent elections, we are pleased to announce our new members of the Board of Trustees and Council, as elected by the SIAM membership.
The Board is responsible for the ...

By Cuneyt G. Akcora , Murat Kantarcioglu , and Yulia R. Gel
On October 31, 2008, the pseudonymous Satoshi Nakamoto posted a white paper titled “Bitcoin: A Peer-to-Peer Electronic Cash ...

By Ufuk Topcu and Frederick Leve
Learning-based techniques promise the possibility of modeling unknown dynamical systems and thus facilitating predictions of values of interest, ...

By Lina Sorg
When considering future career paths, junior scientists may view academia and industry as completely separate spaces with their own independent interests, purposes, and goals. ...

By Lina Sorg
As they prepare to enter the workforce, all students and early-career individuals—regardless of area of expertise—likely view the possible career paths, environments, and ...

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View more photos from the 2022 SIAM Conference on Mathematics of Data Science (MDS22) on Facebook .
Check out articles about the MDS22 student/early-career panel ...

By Matthew R. Francis
In recent months, many people have begun to explore a new pastime: generating their own images using several widely-distributed programs such as DALL-E , Midjourney , ...

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.

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.