What's the difference between complex and complicated? Must they necessarily be related to each other? According to Eric Berlow, an ecologist and network scientist based at Yosemite National Park, the answer is "no." I recently stumbled upon this short video of Berlow's presentation at TED, during which he outlines his method for using visualization tools and isolation of first and second degrees of influence within complex systems to find solutions. I'm not yet sure how this will help me bring order to the complexity in my life, but I found it interesting to watch him derive order and logic in even the messiest networks.
ADDENDUM: I received some feedback suggesting disappointment in the video based on expectation of an immediately applicable solution. The following is some additional commentary that seems to have helped. Feel free to push back if I'm still off base.
I guess if you were hoping for a "plug and play" solution, then the video came up short. I found it interesting more as a metaphor for deriving order from apparent chaos. As I understood it, what he said was that in complex problems, there may appear to be myriad moving parts which may influence your desired outcome. If you just think about the apparent complicated nature of the mess, you'll get lost. However, if you focus on understanding the 1st, 2nd and 3rd layers of influence on that desired outcome, and exclude anything that you cannot control or change, you'll be able to isolate the area likely to have greatest efficacy on the outcome you want. I agree that not everyone has the tools to build a computer-aided visual model of a problem, but I think most problems are sufficiently less complex so as not to require one. I think if you simply listed all of the potential points of influence in a complex set, and then highlighted the ones that touch your outcome - and that you can actually control or influence - you'd get pretty close to the same process, and an "actionable" solution set.
The video lasts approximately 3 minutes.
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