Nearly two years later, it is finally published: Explaining quantum correlations through evolution of causal models.
This was a truly multidisciplinary effort. What we achieved was to combine ideas from causal modeling and machine learning into a new algorithm to analyze real experimental data from experiments on quantum correlations. The team consisted of researchers from 4 different universities and several distinct disciplines.
Interestingly, no one researcher on the project had expertise in all of these areas. Moreover, within each discipline, everything from the way research is conducted to how it is disseminated is different. Couple that to the fact that many of us were senior researchers with other demands on our time and you get a 2 year long project!
Anyway, it is done and I’d gladly do it again with this bunch of talent scientists!