The ever-expanding wealth of digital material that researchers have at their disposal today, coupled with growing computing power, makes the use of quantitative methods in historical disciplines in- creasingly more viable. However, applying exist- ing techniques and tools to historical datasets is not a trivial enterprise (Piotrowski, 2012; McGillivray, 2014). Moreover, scholarly communities react dif- ferently to the idea that new research questions and insights can arise from quantitative explorations that could not be made using purely qualitative ap- proaches. Some of them, such as linguistics (Jenset and McGillivray, 2017), have been acquainted with quantitative methods for a longer time. Others, such as history, have seen a growth in quantitat- ive methods on the fringes of the discipline, but have not incorporated them into the mainstream of scholarly practice (Hitchcock, 2013).

Citation information

McGillivray, B., Wilson, J. and Blanke, T. (2019). Towards a quantitative research framework for historical disciplines. In Proceedings of the Workshop on Computational Methods in the Humanities 2018, Lausanne, Switzerland, June

Turing affiliated authors

Research areas