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Ever been involved in publishing research? Answer this survey of mathematical publishing priorities

From Mark C. Wilson of the University of Auckland, a little public service announcement for anyone who’s ever been involved with a mathematical journal.

Dear colleagues,

There is much dissatisfaction with the current state of research
publication, but little information on community attitudes and priorities.
I have started a survey which I hope you will fill in (I estimate 10-15
minutes, and it is completely anonymous). The results will be made publicly
available later this year. I hope that it will help to focus our efforts as
a community by allowing us to work toward broadly agreed goals.  I want to
get as representative and as large a sample of the world mathematical
community as possible. Please forward to your  local colleagues.

Please answer this  survey if and only if you have been involved with a
mathematical journal as editor, reviewer/referee, author or reader in the
last 3 years. By “mathematical” we also mean to include theoretical
computer science and mathematical statistics journals, and disciplinary
journals used by applied mathematicians. Essentially, any journal covered
by Mathematical Reviews qualifies.

Answer the survey

Information and Inference: new journal with free content for two years

The Institute of Mathematics and its Applications has launched a new journal, Information and Inference: a Journal of the IMA. This aims to

publish high quality mathematically-oriented articles, furthering the understanding of the theory, methods of analysis, and algorithms for information and data.
Articles should be written in a way accessible to researchers in the associated topics in pure and applied mathematics, statistics, computer sciences, and electrical engineering. Articles are published in, but not limited to: information theory, statistical inference, network analysis, numerical analysis, learning theory, applied and computational harmonic analysis, probability, combinatorics, signal processing, and high-dimensional geometry.

According to the website, “all content will be free to access for the first two years of publication of the journal”. You can sign up for free email table of contents alerts.

The first paper, ‘The masked sample covariance estimator: an analysis using matrix concentration inequalities‘, has been made available for advanced online access.

More information: Oxford Journals: Information and Inference: a Journal of the IMA.