SIAM Activity Group on Linear Algebra

The goal of this workshop is to bring together mathematicians and data scientists to participate in a discussion of current methods and outstanding problems in data science. The workshop is particularly aimed at mathematicians interested in pursuing research or a career in data science who wish to gain an understanding of this rapidly evolving field and the ways in which mathematics can contribute. Researchers currently working in data science are also encouraged to attend, to share ideas about mathematical methodologies and challenges. A number of experienced data scientists with a variety of backgrounds from academics, national laboratories, and industry (including startups) will be invited. The program will include overview and technical talks, several panels consisting of practitioners with different experience levels, and one or more poster sessions.

Hosted by the Institute for Computational and Experimental Research in Mathematics (ICERM) located at Brown University, Providence, RI, USA.

Organizers:

• Philip Kegelmeyer, Sandia National Laboratories
• Tamara Kolda, Sandia National Laboratories
• Randall LeVeque, University of Washington
• Aleksandra Mojsilovic, IBM T. J. Watson Research Center
• Linda Ness, Applied Communication Sciences
• Alyson Wilson, North Carolina State University

For more details and to apply, go to: http://icerm.brown.edu/topical_workshops/tw15-6-mds/