Dear Colleagues,
I am writing to bring your attention to a brand new journal: SIAM Journal on Mathematics of Data Science (SIMODS) publishes highly innovative work that advances mathematical, statistical, and computational methods in the context of data and information sciences.
SIMODS creates a unique opportunity to strengthen the mathematical constituency’s role in the ascent of data science while positively reinforcing the field’s connections to complementary communities in statistics, computer science, network science, and signal processing. In alignment with SIAM’s traditional strengths, the journal will focus on topics such as numerical algorithms, optimization and control, functional analysis, and theoretical computer science as these topics relate to data science. It will also include additional areas of relevance like machine learning, signal processing and information theory, applied probability, network science, and statistical inference. Papers may include some combination of algorithm development, scalable computational methods and implementations, and theoretical analysis. Interdisciplinary papers are highly encouraged.
As part of the launch of the journal, SIAM has created a video animation about the mathematics in data science that is appropriate for a general audience: https://youtu.be/iaWvDXYg67c.
The journal webpage is http://journals.siam.org/simods/. Submissions are now being accepted. I am a member of the editorial board and would be happy to entertain any questions you might have.
Sincerely,
Mark
----------------------------------------------------------------------------------------------------------
Professor Mark Girolami FRSE FIET
Chair of Statistics
Lloyd’s Register Foundation / Royal Academy of Engineering Research Chair in Data Centric Engineering
EPSRC Established Career Research Fellow
Department of Mathematics | Huxley Building, Room 539 | Imperial College London | SW7 2AZ
• +44 (0)20 7589 5111 |• [log in to unmask]<mailto:[log in to unmask]>
Strategic Programme Director
The Alan Turing Institute | The British Library | 96 Euston Road | London, NW1 2DB
• +44 (0)300 770 1912 |• [log in to unmask]<mailto:[log in to unmask]> | http://www.turing.ac.uk/data-centric-engineering/
----------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------
Professor Mark Girolami FRSE FIET
Chair of Statistics
Lloyd’s Register Foundation / Royal Academy of Engineering Research Chair in Data Centric Engineering
EPSRC Established Career Research Fellow
Department of Mathematics | Huxley Building, Room 539 | Imperial College London | SW7 2AZ
• +44 (0)20 7589 5111 |• [log in to unmask]<mailto:[log in to unmask]>
Strategic Programme Director
The Alan Turing Institute | The British Library | 96 Euston Road | London, NW1 2DB
• +44 (0)300 770 1912 |• [log in to unmask]<mailto:[log in to unmask]> | http://www.turing.ac.uk/data-centric-engineering/
----------------------------------------------------------------------------------------------------------
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|