I have been interested in the concept of DATA HUMANISM. Had not thought about it much before today. It is this idea that most of us relate to data in a very particular way. In a robotic way. Like any piece of data is subjectively boring because of the clarity it brings. It is thinking in zeros and ones. Like black and white. We think of data in such ways where to us data provides us with black and white thinking in any decision making.

Data Humanism is nuanced. It talks about looking at data with people at the center of it. It relies of the foundational role of us – humans – as ways to approach, collect and analyze data. If we start looking at data in such ways, one of the first interesting things that happens is the idea that now we start bringing our imperfections, biases, and complexities into the data. Data that we collect, analyze, and communicate. It becomes less zeros and ones and the gray colors start to emerge.

We develop greater appreciation for the complexities of data when thinking about it from a POV of data humanism. We are complicated. What makes us think that the data will not be complicated? After all, data exists because humans exists. Somehow, we seek rescuing from the data. This is not to belittle the power of data. But our belief in data can be as much as our belief in the humanity – the origins of where the data came from.

The diverse POV in any given data set is beautiful. It makes the data less divisive. It connects us to one another. It becomes a language. A medium through which humans seek solace, connection, and joy - even in the time of complete chaos.

(this writing did not use LLM-models)

Title Practice:

Data Humanism, Belief in Data, Data POV, Changed Belief, Change of Mind, Subjective Data, Data as Language, Irony of Data, Gray Zones in Data, Data Gray Zones, Data-zone, Perfectionism in Data, Data Authoritarianism, Data as Facts, The Truth in Data, Diversity in Data, Data Disclaimer, Data Donts, Drowning in Data, Drained by Data