The 17th International Solar Wind Conference (Solar Wind 17) covers all aspects of solar wind and heliospheric physics, focusing on current research as well as future directions. This article collection highlights selected contributions to the conference on all of its science themes: coronal processes and solar wind acceleration, transients on the Sun and in interplanetary space, acceleration and propagation of energetic particles, global structure of the corona and inner heliosphere through the solar cycle, microphysics of the solar wind, physics of the outer heliosphere, and solar wind science for space weather.

All participants are invited to submit their papers for peer review to the journal Solar Physics. Publication under the subscription model is free of charge, open-access is offered for a fee or under the terms of Springer's institutional agreements.

A collection of articles on applications of machine learning techniques in solar and heliophysics, such as solar feature detection and solar event classification, solar cycle prediction, space weather forecasting, etc.

While the Living Review "Machine learning in solar physics" (13 July 2023) serves as a general introduction to the topic, we encourage authors to submit their work on specific applications of machine learning methods, neural networks, and deep learning techniques in solar and heliophysics to the journal Solar Physics.