Rejected research models

A series of my rejected research models in 2013

Model is an abstraction or a simplification of reality. Well you can say it’s in line with complexity reduction that I mentioned before. You want to reduce the complexity of the real world situations into something that you would be able to understand better and consequently thus would be able to hopefully deal with it better within your control.

However because model is a simplification of reality and there are many ways to view and simplify the reality, often there are more than one model regarding an issue. I think possibly holding or having multiple models of an issue is rather like complexity absorption. When you combine the many models that surround an issue, you would have a better chance of gaining a representation of the issue that is closer to the reality of the issue. This is most likely in line with what collective intelligence is all about. When you spend the time to gather the views of as many relevant people as possible on an issue, you would have a better chance of getting a representation of the issue that is closer to the reality of the issue. Also key here is the one who gathered the views. He/she/they has/have to make sure that the conversations stay focused on or around the issue and he/she/they has/have to get what the people are really saying.

Most importantly he/she/they has/have to present what he/she/they has/have found from his/her/their data gathering in a way that others can understand so that the findings can be tested against the reality and others can give their feedbacks on the findings to further improve understanding of the issue.