AI-Supported Ego Development Measurement in Large Datasets

Author(s): Júlio Almeida

Originally published on Towards AI.

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This article is a collaboration between Xavier Bronlet, a PhD student from Ubiquity University in California, US, and myself. I assisted with the technical aspects, and the results are shared in this piece.

Today’s challenges are calling communities and organizations to elevate their way of behaving applying A. Einstein's quote “We cannot solve our problems with the same thinking we used when we created them”. In this context, being able to establish metrics to measure the level of thinking within a community becomes a game changer.

It’s far from being easy as they are complex systems with their own dynamics and influences; every individual is unique making each group unique as well. In a corporation, we may imagine that the level of thinking within the accounting department is different from the one expressed in the research and development department. In research, the level of thinking may be used as a dependent variable while exploring the conditions that influence it. It may also be used as a mediation or moderation variable to explore its influence on connected factors, for example, how does the level of thinking influence the relationship between a negative experience at… Read the full blog for free on Medium.

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Published via Towards AI