This article is the second of a two-parts of a series seeking to identify the impacts of the current and most probably forthcoming terrorist attacks by the Islamic State and other jihadist groups, and focuses on major socio-psychological consequences. It follows a first article, which started outlining a framework for impact assessment out of our current understanding of the economic consequences of terrorism, which notably pointed out the need to use mapping as methodology if the complex and cascading characters of these impacts are to be properly assessed. The larger aim of the series is notably to understand if businesses should or not neglect these aggressions and related geopolitical uncertainties, while finding out ways to foresee these risks so as to best design answers (see Helene Lavoix, “Businesses and Geopolitics: Caught up in the Whirlwinds? (1)”, The Red (Team) Analysis Society, 17 Oct 2016)
To find out which could be the psychological impacts of the ongoing string of terrorist attacks, we
(This article is a fully updated version of the original article published in November 2011 under the title “Creating a Foresight and Warning Model: Mapping a Dynamic Network (I)”). 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 […]
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.
The methodology of SF&W and risk management allows addressing these points. They should become rules and principles all analysts follow. Indeed, without paying attention to them, good analysis is impossible. The first article on The Black Swan can be accessed here.
(Notably pp.190-200) Considering uncertainty, but also our imperfect condition of human beings, the complexity of the social world, feedbacks, our more than insufficient knowledge and understanding, we must ….
Second, “black swans” refer to events that could absolutely not be predicted, as, for example for the Economist in ”The prediction games: Our winners and losers from last year’s edition”. Unfortunately, in this case, the label “black swans” excuses foresight errors. It tends to stop explanations and evaluation. Similarly, some will make statements along the line of “oh, but there is no point to do any foresight (or futures work or forecast), did you not read Taleb’s Black Swan? One cannot predict or foresee anything.”
This is a rather bold statement, especially when one seeks to anticipate uncertainty and to foresee and warn. We thus need to explore the unpredictability claim further.
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.
In our previous article, we detailed a partition scenario where Libya splits into independent states along tribal and provincial lines, as well as a north-south axis, and in the one before, we focused on various possible spill over. This article focuses on a combination of the two cases, partition and spill over scenarios. In the first scenario, the Amazigh, Tuareg, and Toubou tribes outright declare independence and break away from the Libyan state, which leads to significant spill over in Algeria, Niger, and Chad. In the second scenario, Libya is partitioned along provincial lines, which leads to spill over in all directions. In the last scenario, Libya splits apart along a north-south axis located through Sirte, and bordering countries experience […]
In our previous article, we detailed a spillover scenario where conflict spills over in all directions, including Europe, Algeria, Niger, and Egypt. This article is focusing on possible scenarios depicting Libya’s partition that could stem from the Libyan war. In the first scenario, the Amazigh, Tuareg, and Toubou tribes move from ideas of autonomy to outright declaring independence and breaking away from the Libyan state as a result of marginalization and lack of security. In the second scenario, Libyans begin declaring independence and breaking away from the rest of Libya along provincial lines. In the last scenario, Libya splits apart along a north-south axis located through or close to Sirte – essentially East Libya and West Libya – with the […]
In this article and the next, we shall evaluate the likelihood of the primary scenarios for foreign military intervention, which we started to detail in “Scenarios for the Future of Libya – Scenario 2: The Joint Arab Force Takes a Side (1).” We shall focus on preliminary methodological work allowing for better describing the intervention cases for likelihood estimates. In the last article we discussed the likelihood of Scenario 1, where the Libyan actors negotiate a peace settlement—a scenario for which the probability we assessed was less than 20%, or highly unlikely. As detailed previously, we shall use the methodology developed by The Red (Team) Analysis Society, building upon Heuer (“Assessing Probability of a Scenario”, in Psychology of Intelligence Analysis, […]