The rise of industrialism had created a series of social, economic, and political problems, particularly in managing supply and demand in their political economy, the management of resources for military and developmental use, the creation of mass education systems to train individuals in symbolic reasoning and problems in managing the effects of industrialization itself. The perceived senselessness of the "Great War" as it was then called, of 1914–18, now called World War I, based in what were perceived to be "emotional" and "irrational" decisions, provided an immediate impetus for a form of decision making that was more "scientific" and easier to manage. Simply put, to manage the new multi-national enterprises, private and governmental, required more data. More data required a means of reducing it to information upon which to make decisions. Numbers and charts could be interpreted more quickly and moved more efficiently than long texts. Conversely, the interdisciplinary and cross-disciplinary nature of scientific inquiry into human behavior and social and environmental factors affecting it have made many of the so-called hard sciences dependent on social science methodology. Examples of boundary blurring include emerging disciplines like social studies of medicine, neuropsychology, bioeconomics and the history and sociology of science. Increasingly, quantitative and qualitative methods are being integrated in the study of human action and its implications and consequences.