Our opinion on the state of statistics and its future has now appeared here in Havard Data Science Review. Three conclusions are:
📈 Statistics is still very much alive!
📈 Statistics can contribute to modern data science in many ways, through formal modeling, inference, mathematical guarantees, and much more.
📈 However, statistics also needs to ensure that it stays relevant, joining forces with other data-related fields and participating in the education of the future data scientists.

The paper is also featured in the journals editorial, which I found a very good read more generally.

Organizing the workshop and the paper together with Claudia was a rewarding journey.

Sincere thanks to:
🙏 VolkswagenStiftung, for hosting our workshop, where this paper originated. Everything was perfect: efficient and friendly organization, delicious food, wonderful scenery, practical seminar rooms, …
🙏 Soumendra Lahiri, especially for supporting Claudia and myself in the publishing process.
🙏 And all of the co-authors, for the inspiring discussions in Hannover and skillful contributions to the paper:
Harald Binder, Werner Brannath, Ivor Cribben, Holger Dette, Philipp Doebler, Oliver Feng, Axel Gandy, Sonja Greven, Barbara Hammer, Stefan Harmeling, Thomas Hotz, Göran Kauermann, PD Dr. Joscha Krause, Georg Krempl, Alicia Nieto-Reyes, Ostap Okhrin, Hernando Ombao, Florian Pein, Michal Pešta, Dimitris Politis, Li-Xuan Qin, Tom Rainforth, Holger Rauhut, Henry Reeve, David Salinas, Johannes Schmidt-Hieber, Clayton Scott, Johan Segers, Myra Spiliopoulou, Adalbert Wilhelm, Ines Wilms, and Yi Yu.