2212 EVT – Scenario 1 – Mamominarch: Off with the State

Last weeks’ summary: In 2012 EVT, Everstate (the ideal-type corresponding to our very real countries created to foresee the future of governance and of the modern nation-state) knows a rising dissatisfaction of its population. Plagued with a deepening budget deficit and an increasing need for liquidity, a related creeping appropriation of resources while the strength of central public power weakens to the profit of various elite groups and with an outdated worldview that promotes misunderstanding, disconnect and thus inadequate actions, the political authorities are increasingly unable to deliver the security citizens seek and risks to the legitimacy of the whole system increases. Alarmed by the rising difficulties and widespread discontent, the governing authorities decide to do something. Three potential scenarios or stories will be told: “Mamominarch: Off with the State,” “Panglossy: Same Old, Same Old,” and …

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2212 EVT: Rising Discontent (The Chronicles of Everstate)

Summary of our scenario so far: Everstate (an ideal-type for our very real countries created to foresee the future of the modern nation-state) is part of the international liberal order and ruled under a democratic parliamentary regime.

Lately, its governance started being less efficient and as a result began to fail to ensure the security of Everstate’s citizens. Meanwhile, its economy showed sign of losing efficacy and its powerful elite groups fought hard to keep their status although they do not believe to be really at risk.

The various degradations and tensions have started being felt and registered by the population. However, most Everstatan actors considered those as temporary crises and difficulties that will be shortly solved. At worst, some envisioned a serious crisis that would last a few years, maybe a decade of slow growth before everything went back to normal (link to previous article). Are they right? What does the future hold for Everstate?… Read more

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Everstate: Setting the stage (2)

Summary of our scenario so far: Everstate is an ideal-type for our very real countries created to foresee the future of the modern nation-state. In the case of this specific scenario-building, we are setting the stage for Everstate, by attributing values to key influencing variable to be able to develop the scenarios.

As previously set, Everstate is thus a middle-range power located on the Eurasian land mass and part of the international liberal order. It is ruled under a democratic… Read More

Constructing a Foresight Scenario’s Narrative with Ego Networks

In many foresight methods, once you have identified the main factors or variables and reach the moment to develop the narrative for the scenarios, you are left with no guidance regarding the way to accomplish this step, beyond something along the line of “flesh out the scenario and develop the story.”*

Here, we shall do otherwise and provide a straightforward and easy method to write the scenario. We shall use the dynamic network we constructed for Everstate – or for another issue – and the feature called “Ego Network” that is available in social network analysis and visualisation software to guide the development and writing of the narrative.

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Variables, Values and Consistency in Dynamic Networks

In this article we explain and discuss the methodological background that allows us to set the criteria for Everstate – or for any country or issue chosen – as exemplified in the post “Everstate’s characteristics.” Meanwhile, we also address the problem of consistency.

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Revisiting influence analysis

Once variables (also called factors and drivers according to authors) have been identified – and in our case mapped, most foresight methodologies aim at reducing their number, i.e. keeping only a few of those variables.

Indeed, considering cognitive limitations, as well as finite resources, one tries obtaining a number of variables that can be easily and relatively quickly combined by the human brain.

The problem we here face methodologically is how to reduce this number of variables at best, making sure we do not reintroduce biases or/and simplify our model so much it becomes useless or suboptimal.

Furthermore, considering also the potential adverse reactions of practitioners to complex models, being able to present a properly simplified or reduced model (however remaining faithful to the initial one) is most often necessary.

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