[caesurae]

My concern is also the academic & industrial support community will support the concentration of a few contributing institutions to such a journal. I have no doubt that Distill will have high-impact and visibility among various audiences.

Yet I don't see how this will readily support possibly cutting-edge work or new research in machine learning that does not have access to visualization development, or these forged connections to Distill to facilitate the development of these visualizations.

So it seems like a likely outcome is that Distill publishes content from well-regarded institutions and increases publicity for that work, to the detriment of a vast bulk of papers which do not have access to the visualization resources to develop Distill-ed versions of their work.

Furthermore, and this is a larger disciplinary issue, but it seems inherently this could end up spotlighting more CS-y machine learning vs statistical learning due to cultural differences between disciplines and differences in computational/web development background in grad students and researchers in both fields. Are there efforts to reach out to statistical associations as well?