American Institute of Mathematical Sciences

A special issue on Data Science Education Research will be featured in Foundations of Data Science. Its aim will be to collect a set of research-based papers that discuss issues specific to data science education. This issue will present papers on data science education at all levels of academia and industry, including K-12, undergraduate, graduate, and professional development. Of particular interest are papers that discuss data science education beyond the introductory level. Expressions of interest (including abstract of max. 250 words and list of authors with affiliation and email address) to contribute to this Special Issue should be sent as a pdf file to Chad Higdon-Topaz at cmt6@williams.edu by February 4, 2021. Full papers are expected to be submitted by July 7, 2021.
The Guest Editors are: Brittney Bailey, Stacey Hancock, Orit Hazzan, Chad Higdon-Topaz, and Amelia McNamara.

A special issue on Topological methods in data analysis, machine learning and artificial intelligence will be featured in Foundations of Data Science. Its aim will be to collect a set of papers that expose the state-of-the-art ideas and techniques of topology in the study of large and complex data sets, as well as its use in machine learning and in the analysis and design of deep learning algorithms. This issue will present papers showing the range and possibilities of these methods. Submission is by invitation. If you have some interest in submitting to the issue, please contact Gunnar Carlsson (carlsson@stanford.edu)
The Guest Editors are: Gunnar Carlsson, Kathryn Hess, Facundo Memoli, Raul Rabadan, and Primosz Skraba

A special issue on Data Assimilation will be featured in Foundations of Data Science. Its aim will be to collect a set of high-level papers that expose the state-of-the-art ideas and techniques for assimilating data into models in the many areas of science where it has become an essential tool. Submission is by invitation. If you have some interest in submitting to the issue, please contact Chris Jones (ckrtj@renci.org)

We are delighted to announce a special issue on the topic of "Sequential Monte Carlo Methods", in honour of the upcoming meeting SMC 2020