Cumulative versus monographic dissertation I am in the beginning of my phd studies in computer science. Specifically, I am in the area of machine learning and linked data. I have talked with my professor about these both types of dissertations, however, it`s on my own which format I choose.

Any recommendations, when to choose a cumulative and when to choose a monographic dissertation? What`s your experience with each format?
If I had had a choice, I would have chosen to write a cumulative thesis. 

Results are in the papers. And converting papers into a monograph takes a lot of time with relatively low added value. (When someone asks me about the result I still point to publications.)

One advantage of monographic thesis is when it is on a new field (with publications being very coherent on one topic) - then it can serve as an introduction for the others. (However, it seems that not many theses fit this criterium.)