Models work to simplify data into a sizable, digestible format, making it more understandable to those who find it difficult to read scientific graphs. To some extent, they help aid out understanding of problems and of ideas, as making something more understandable obviously does, but having a simple, bland view of something can limit our understanding as well, as people tend to stop thinking about something if they have a simple understanding of it.

One example of a model, is the ITGS Triangle Shown below. it shows the reader who is effected by issues related to IT, and how it affects them. such as socially, with privacy invasion and security, that mainly effects the public.

?? ITGS Triangle ?? - ITGSThings

The next model is the Iceberg model. Which works to show how issues are related to their causes and possible fixes, as well as providing reason when choosing how to fix an issue, by highlighting the downsides of certain improvements.

iceberg model - Ecochallenge.org

The Last model, the Shifting Burden model, is used to show how certain problems have different issues when being fixed, and compares two possible answers, and how it shifts the burden of a problem somewhere else.

The Systems Thinker – Shifting the Burden: The "Helen Keller" Loops - The Systems Thinker

In my own use of the models, I personally find that the Iceberg model works best, as it highlights both the cause of a problem and how to fix it effectively, where as the other two highlight the effects and how to fix them respectively. Whilst the other two have their uses in closely examining certain areas, I find that a wider scale view of problems put into a model would work better as a way to simplify a problem to a reader.

I believe that models are useful methods of presenting information if used effectively, and for the right pieces of information. Most importantly, what the question is. However, questions related to technology and ethics are best explained with an Iceberg model. Though, you can choose whichever model you want, as you may process information differently and prefer one model over another, its entirely up to you how you use models, if you use them at all, or in what context you use them.

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