SIAM Conference on Mathematics of Data Science
The Society for Industrial and Applied Mathematics (SIAM) is proud to introduce the first SIAM Conference on Mathematics of Data Science (MDS 2020), which will take place on May 5–7, 2020 in Cincinnati, Ohio, U.S.A The conference website is https://www.siam.org/Conferenc
We would like to encourage you to participate in MDS 2020. We welcome proposals for minisymposia (due October 7, 2019) and contributed talks (due November 4, 2019)
About the Conference
Society for Industrial and Applied Mathematics is proud to introduce the First Conference on Mathematics of Data Science. This conference will provide a forum to present work that advances mathematical, statistical, and computational methods in the context of data and information sciences and aims to unite researchers who are building mathematical foundations for data science and making principled applications to science, engineering, technology, and society.
This meeting is co-located with the SIAM International Conference on Data Mining (SDM20), May 7-9, 2020.
This meeting is held in cooperation with GAMM. (Representative- Gitta Kutyniok, Technische Universität Berlin, Germany)
Plenary speakers are:
Andrea L. Bertozzi, University of California, Los Angeles, U.S.A
Jennifer Chayes, Microsoft, U.S.A
David Donoho, Stanford University, U.S.A
Cynthia Dwork, Harvard University, U.S.A
Michael Jordan, University of California, Berkeley, U.S.A
Yann LeCun, Facebook, U.S.A
Yurii Nesterov, CORE/INMA, Catholic University of Louvain (UCL), Belgium
Topics of interest
• Statistical inference
• Machine learning
• Optimization and control
• Signal processing and information theory
• Image processing and computer vision
• Privacy, fairness, bias, and ethics
• Numerical algorithms
• Theoretical computer science
• Network science
• Applied probability and random matrix theory
• Functional analysis, convex geometry, and approximation theory
• Education in data science
• Applications of data science in astrophysics, chemistry, earth
science, materials science, biology, neuroscience, economics,
engineering, banking, finance, security, and social sciences
