Thanks to all

Abstract

Thank you to Teaching Statistics Trust members, editorial board members, reviewers, authors and readers of this unique and important journal. For everyone involved with teaching, whether at school, tertiary or in the workplace, the past two years have been challenging. I particularly extend deep gratitude to all our reviewers who put so much thought and effort into this very important professional work which often does not receive the appreciation from authorities that it should. The effects and influences of SARS-CoV-2 (Covid 19) on society and on teaching, as well as the increasing work to further learning in statistics and data science, have been reflected in the admirable efforts, initiatives and thinking of authors. I particularly wish to thank everyone involved in the special issue published in 2021, Teaching Data Science and Statistics: foundation and introductory. The success of the excellent work by authors and reviewers is evidenced by the many downloads and enquiries. My coeditors Jim Ridgway and Rob Gould were outstanding in all aspects of their work. It is not easy to develop and implement good practice in teaching statistics and data science, nor is it easy to write well and meet scholarly writing standards about it. But these efforts are some of the most important in education, particularly at foundation and introductory levels across all disciplines, and the challenges are also opportunities to further this work. Best wishes for 2022 and keep contributing to inspiring, teaching and writing about best practices in our International Journal for Statistics and Data Science Teaching.