SIAM Conference on Mathematics of Data Science (MDS22)

SIAM Conference

Hybrid: SIAM Conference on Mathematics of Data Science (MDS22)

September 26 - 30, 2022

Town and Country Resort | San Diego, California, U.S.

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Announcements and important information for this conference.


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About the Conference

About the Conference


This is the conference of the SIAM Activity Group on Data Science.

Society for Industrial and Applied Mathematics (SIAM) is proud to introduce the second SIAM Conference on Mathematics of Data Science (MDS22). September 26-30, 2022 in San Diego, CA and virtually, a diverse group of thought leaders from industry, government, labs, and academia will come together to present, learn about, and discuss data science advances, exchange ideas, collaborate, and network.

SIAM MDS22 will be a convening of the best and brightest in data science, bringing together researchers, practitioners, educators, and students from around the world. The conference will be packed with cutting-edge research and will provide a forum to present and discuss work that advances mathematical, statistical, and computational methods in the context of data and information sciences. The conference aims to bring together those who are building foundations for data science and its applications across science, engineering, technology, and society. MDS22 will also expose challenges and advances in the ethics and fairness of data science.

Learn more about what SIAM MDS22 will offer from the co-chairs of the Organizing Committee.

This conference is held in cooperation with GAMM. (Representative- Gitta Kutyniok, Technische Universität Berlin, Germany)

Included Themes

Included Themes

Topics of interest include but are not limited to:

  • Applications of data science across science, engineering, technology, and society
  • Applied probability
  • Approximation theory
  • Data assimilation, inverse problems, and statistical inference
  • Data mining
  • Dimensionality reduction
  • Knowledge representation and reasoning
  • Machine learning, including active, deep, reinforcement, and transfer learning
  • Network science
  • Optimization and control
  • Scalable algorithms and high-performance computing
  • Signal processing and information theory
  • Statistical learning theory
  • Theoretical computer science

Conference Committees

Related on SIAM News

Conference Sponsors

Funding Agency

SIAM and the Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation and DOE Office of Advanced Scientific Computing Research for their support.

Ways to Sponsor

SIAM invites you to show support of this meeting through sponsorship opportunities ranging from support of receptions, audio-video needs, to awards for student travel, and more.

Learn More

Thank you to our sponsors

Thank you to our conference sponsors

Thank you to our sponsors

Statement on Equity, Diversity, and Inclusion

As a professional society, SIAM is committed to providing an inclusive climate that encourages the open expression and exchange of ideas, that is free from all forms of discrimination, harassment, and retaliation, and that is welcoming and comfortable to all members and to those who participate in its activities. In pursuit of that commitment, SIAM is dedicated to the philosophy of equality of opportunity and treatment for all participants regardless of gender, gender identity or expression, sexual orientation, race, color, national or ethnic origin, religion or religious belief, age, marital status, disabilities, veteran status, field of expertise, or any other reason not related to scientific merit. This philosophy extends from SIAM conferences, to its publications, and to its governing structures and bodies. We expect all members of SIAM and participants in SIAM activities to work toward this commitment.

If you have experienced or observed behavior that is not consistent with the principles expressed above, you are encouraged to report any violation using the SIAM hotline, hosted by the third-party hotline provider, EthicsPoint. The information you provide will be sent to us by EthicsPoint on a totally confidential and anonymous basis if you should choose. You have our guarantee that your comments will be heard. Please submit reports here.