As long as you're not downloading copyrighted data there should be no issue with using the BT protocol on a company or academic network, providing their is no outright ban on the protocol in your network usage policy. The BT protocol itself actually lends itself quite well to large datasets such as what is hosted here due to its inbuilt error checking (so no more spending hours downloading a huge dataset only to find your connection did something silly for a second and corrupted the whole file) and can provide much faster download speeds on popular files due to the number of peers available, instead of a normal hosting arrangement which would likely provide slower speeds on popular files due to network congestion and file access speeds.
P2P will consume any amount of upload bandwidth available. It's horrendous to have inside your network, as a university or research center.
Torrents are the most effective, reliable and convenient way to distribute large files, its adoption shouldn't be blocked by bad configuration and policies.
It benefits everyone because the automatic mirror selection in Linux distributions picks the lowest latency mirror automatically. That means all OS running in the academic network will pick the public academic mirror, since it's the closest.
There's no Janet policy (UK academic network) against P2P, although there are institutional policies in place (typically for student residential networks).
To be honest it would be difficult to have a policy that wouldn't impinge on some of the more unusual protocols used in research.
We work with academic institutions to ensure they allow this service. Please report universities which block the service using the feedback button shown in the lower right of the webpage.
We also encourage HTTP seeds to be specified (aka url-lists) by the uploader to offer a backup URL which can be contacted automatically if BT is blocked. We also offer a python API designed for clusters and university computers written in pure python which supports HTTP seeds: https://github.com/AcademicTorrents/python-r-api