About the project choice
Unlike for the first ten Pentathlons, all projects were chosen by the organizers this time. We tried to balance out many aspects: Research fields, CPU vs GPU, projects with Pentathlon experience, but also new projects.
Rosetta@home for the Marathon was an easy choice. The project would have been chosen again by the teams in the traditional project choice process for sure and occured as the Sprint project for the last two times. In addition, the Pentathlon could also support COVID-19 research this way.
We wanted to include a second project from the biological-medical field, but the selection of suitable projects in this field is small, especially as we wanted to save World Community Grid for next year and only had it in mind as a backup project (that's why we didn't rule out last year's projects from the beginning). First we considered GPUGRID, but their problems with the disk space filling up too quickly worsened. Fortunately, we could finally win the just recently restarted project Ibercivis BOINC for the Sprint.
As we wanted to balance out the NVIDIA-only GPUGRID with an AMD-GPU-friendly project, we initially considered MilkyWay@home (that's why the limit of only one GPU project was dropped). Unfortunately, this project didn't think they are currently in the right shape, and they didn't reply to our inquiry until very late in the process. Instead, we chose Amicable Numbers as the GPU project with the least Pentathlon experience to ensure some variety.
For Javelin Throw, another project with a quorum of 1 had to be chosen. As neither Rosetta@home (Marathon) nor Cosmology@Home (on admin's request) were available, this had to be another math project. As we wanted to choose a CPU-dominated project and some Pentathlon experience is very helpful for the Javelin Throw in order to reduce the possibility of tactical decisions being rendered void by server problems, the only remaining project except last year's projects NFS@Home and yoyo@home was NumberFields@home, even though it is not a CPU-only project anymore.
Finally, the always very popular astrophysics projects should not be neglected. We chose Universe@Home to keep the Pentathlon from becoming too GPU-heavy.