In the past the Humanities as an academic discipline were known for beeing untechnologic, kind of backward, qualitative and not as a good education for the free market. Also there has been a discussion about the sense of the Humanities in modern times and it's weakness if it comes to employability in modern technologic oriented jobmarkets. Some newsauthors already declared the end of the Humanities as a studysubject - a reduction to be just a minor subject for interested students that do their Major in a different subject like Business Studies, Engineering or something like that. Still there is a silent progress going on in this discipline - the integration of statistical methods, oriented on Big-Data questions.
German science magazin "Spektrum der Wissenschaft" has published an article which is basically an Interview of the the philologist and computer-scientist Gregory Crane who works for the University of Leipzig, Germany. In his opinion the development of digital-oriented Humanities is a big window of opportunity. In this case he talks about the impact Big-Data-Methods like Text Mining could have on Textanalyses and pattern recognition. He says that some of the already established scientiests in this field of research rely on qualitative methods and are not really open for the quantitative way. Still he also sees that some of his own students, a new generation of academics, see the potentials of data-driven analyzes. From his point of view and one of his students he mentioned as an example case, it would be a great chance if the Humanites would integrate some Methods like Dataanalysis and Programming known from Computer-Science. Already existing projects in quantitative Text-analyzes would not have to be implemented by Computer-Scientist from different departments anymore, as they also do not have much time and other topics they need to work on. Also if there are already known methods to analyze texts, his students would be able to implement algorithms for their needs on their own what would make analyzing of a greater amount of written text much more open, because they would not have to be dependend to Computer-Scientists this much anymore.
This development in the Humanities could have a great impact on linguistic analyzes of cultural texts and about the development of languages. Also new hypothises could be formulated and falsificated with this method. This is also what Mr. Crane sees. I do agree to his points and want to add that this could also enlarge jobopportunities for students of this field of study. Maybe they will never compete to real Computer-Scientists in the area of mathematical or physical research, but that is not what is the goal to achive. Students of the Humanities would be able to also get into IT-Consulting in special fields and be much more into Information Science aswell. I think this is one of the most interesting ideas in this field of study since years. As a Social Scientist (B. A.) with IT-Knowledge (Minor) I can only say that this would be a great opportunity.
I always say to people interested that programming methods would be a great thing for Social Science, too. Indeed some departments hold Phyton-Courses for dataanalysis and a few are introducing students to the statistical Software R. I still think it would not be bad if a course in databases or basic knowledge in programming would be something students would be at least able to choose officially as a part of the educational programms.