network

Mapping risk and uncertainty is the second step of a proper process to correctly anticipate and manage risks and uncertainties. This stage starts with building a model, which, once completed, will describe and explain the issue or question at hand, while allowing for anticipation or foresight. In other words, with the end of the first step, you have selected a risk, an uncertainty, or a series of risks and uncertainties, or an issue of concern, with its proper time frame and scope, for example, what are the risks and uncertainties to my investment portfolio within the next 18 months to 3 years, or what will be the future of the emerging artificial intelligence world over the next twenty years, or what are the risks and uncertainties to my activity within the next fiver years as a result of China’s rise.

Once this initial question is defined, the second stage is about constructing our underlying model for understanding, i.e. mapping our risk or issue.

As Professor Joshua Epstein underlines, constructing a model – i.e. modeling – is nothing more, actually, than making explicit the hidden, implicit, model we, as human beings, are using when thinking. Epstein lists 16 advantages that result from this explicit modeling, to which we can add a couple more. Among these, we can notably highlight that, in terms of intelligence and anticipation analysis, making the model explicit will help identifying various cognitive, normative and emotional biases, thus allowing for their mitigation. Thanks to this modeling we can think out of the box and overcome silos. Then, the model and its construction will help defining areas of uncertain understanding, which can then be marked for further study, inquiry and research. Meanwhile, an explicit model will also help us working collaboratively, while communication will be greatly eased and enhanced, notably by using tools developed for big data analytics.

How are we thus to transform our inner implicit and imperfect model about the risk and uncertainty of concern into a proper and efficient explicit model to assess correctly risks and uncertainties, design critical responses and communicate about both risks and the decisions taken to manage them?

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This post is the fourth of our temporal observatory project (Tempobs) and related series focused on the future of the relationships between Saudi Arabia and Iran and aiming at improving the handling of time-related issues in strategic foresight and warning, risk, or more broadly anticipatory analysis. It answers and builds upon Dr Warren Fishbein’s (hereinafter Warren) previous article (Mindfully Mapping a Middle Eastern Morass – Saudi Arabia and Iran), as we designed the series as a dialogue where we progressively build the understanding related to the foresight issue by mapping the corresponding conceptual network, continuously scan the relevant literature and news, which will allow us, finally, to assess the future, to use Warren’s apt presentation of the work involved. Here we shall present the new tool (best on desktops … Continue reading Tempobs – Mapping an Interactive Network for Iran and Saudi Arabia Relations

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Images to illustrate Complexity Science & Strategic Foresight and Warning

Images related to complexity science I found useful in putting together a presentation dealing with Strategic Foresight and Warning and Complexity

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Go back to Part 1

Actually, any SF&W model as it primarily deals with time should be a dynamic network. How can we expect obtaining any potential outline for the future if our model for understanding is static?

Our map thus aims at representing the potential dynamics of polities. We shall notably use Ertman’s work on past state-building, but making it adaptable to present and future conditions.

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