Room for creatives

Lately being a creative/analytical hybrid can be tough in a world filled with mathematics everywhere. Math makes order out of chaos, but it rarely is correct if you still can’t measure everything meant to be measured. I think there was a quote from Albert Einstein about this topic. It went something like this, “Not everything that can be counted counts, and not everything that counts can be counted.”
The world is always going to be filled with people who want to direct you, manage you, help you become more efficient. That usually will be through rigorous data inputs. It’s rare to find people who want you to be inspiring, creative or to really look at the world and analyze it holistically. The world is a pretty complex place. This is where data altered to be an output becomes much more powerful than simply the collectors.

Geoffrey Colon

The world of OSS is a pretty complex place. We can’t measure everything we’d like to (or even need to in some cases). Having said that, we’re arguably better at collecting data and processing it than most bureaus of statistics.

The people and OSS that can inspire, create and output insights, not just collected data, become far more powerful than the collectors.

Geoffrey Colon’s creative/analytical hybrids are vital in OSS, yet rare. We tend to seek out the analytical types and hope they have creativity but how often do we seek creatives that also have an analytical eye? Are we missing out on half of this potential resource pool? In the absence of these rare hybrids, can we get similar benefits from pairing individuals?

Just curious – have you ever had anyone on your team that was hired for their artistic / creative capabilities as a primary factor? If so, how did they fit within your culture and contribute (or not)?

We’ve heard of data scientists but how many data artists have you come across?

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One thought on “Room for creatives

  1. Sometimes, reality presents itself as perceptions or perspectives. Math tends to not factor the perceptions or perspectives.

    Sometimes the multi-dimensionality of data presents in ways that some folks can’t understand. Metric Tensors do a good job math wise of factoring multiple dimensions. In the end, how do you explain distance in dimensions beyond 3 and time?

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