SIAM is proud to introduce the first Conference on Mathematics of Data Science (MDS). The meeting, which will be held May 5-7, 2020, in Cincinnati, Ohio, intends to provide a forum for attendees to present work that advances mathematical, statistical, and computational methods in the context of data and information sciences. MDS20 aims to unite researchers who are building mathematical foundations for data science and contributing principled applications to science, engineering, technology, and society as a whole.
The 2020 SIAM International Conference on Data Mining (SDM20) will be co-located with MDS20 and take place May 7-9. Attendees who register for either conference will be able to access sessions from both meetings. Those who submit a proceedings paper to SDM20 can also submit an abstract to present a talk at MDS20.
MDS20 will follow a traditional SIAM minisymposium-style format with no proceedings. The deadline for minisymposium proposals is October 7th. Contributed lectures, posters, and minisymposium presentation abstracts are due by November 4th.
MDS20 promises to be an exciting meeting with a stellar lineup of invited speakers, comprising the following:
- Andrea L. Bertozzi, University of California, Los Angeles
- Jennifer Chayes, Microsoft Research
- David Donoho, Stanford University
- Cynthia Dwork, Harvard University
- Michael Jordan, University of California, Berkeley
- Yann LeCun, Facebook
- Yurii Nesterov, CORE/INMA, Catholic University of Louvain, Belgium.
The organizing committee includes Gitta Kutyniok (Technische Universität Berlin), Ali Pinar (Sandia National Laboratories), and Joel Tropp (California Institute of Technology). For more information, please visit the conference website.