There is a big problem of feedback with respect to longer term ideas and technology development. In my experience folks at the coal-face (doing delivery, operating the machines) have vital information that would save a huge amount of time in research efforts - not bothering to even investigate certain approaches for example. Sadly this information is often discovered post-hoc! I think that this is what hybrid research taps into, and is the right way to tackle things that will be delivered to market in 5 years or less.

Interestingly there is very little effort in research in general in creating and discovering that qualifying information because there isn't much short or medium term reward in ruling things out - creating negative results.

Academia is now very remote from industry in EU/UK comp sci at least, there are entire communities of work that appear and run and from almost the beginning are known to be very unlikely to create any real or practical result. The poster child for this is the Human Brain Project, but it was apparent that Semantic Web was essentially an open question in computer science very early on, and yet it was sold to the commission and many other funding bodies as incremental technology development. There are other big examples. The problem is that no one is interested in derailing the gravy train and the funding agencies seem to either be under political influence or not to have any critical facilities or institutional memory.