The method of Natural Language Processing (NLP) is used to analyze the literature on spirituality and religion. Specifically, the corpus produced in the spirituality/religion related scholarly literatures are used to train unsupervised neural network models (Word2Vec) that learn the extent to...

To explore the similarities/differences between the moral contexts in which scholars use the terms religion and spirituality, we use Moral Foundations Dictionary for Linguistic Analyses 2.0 (MFD), a dictionary developed to assess the moral content of text, and a Natural Language Processing...

This paper describes the results of a two-and-a-half year effort in proactive planning at the Bureau of the Census in Washington, D.C. Most large-scale organizations merely react to their future(s) instead of actively planning for and thus anticipating the future(s) they would like to bring...

This paper deals with the critical role that assumptions play in strategic planning and strategic problem forming. It attempts to formulate a methodology or systematic procedure for (1) uncovering (surfacing), (2) analyzing the effect, and (3) challenging key policy assumptions. The paper shows...