Building scenarios is a crucial methodology to anticipate and prepare for the future. The higher the uncertainty, the more important it is to be able to mitigate risks to develop winning responses. However, it is crucial to use good scenarios. Good scenarios are sound methodologically and include knowledge and understanding of the issue at hand. […]
This article focuses on scenarios for war. It explains first why scenarios need to be mutually exclusive. Then it provides logical templates for building scenarios dealing with war. Finally it offers an updated bibliography of scenarios for Syria over time. Towards an Operational Methodology to Analyse Future Security Threats and Political Risk (1) Methodology to […]
Google has reportedly achieved the famous Quantum Supremacy, as the Financial Times first reported on 20 September 2019.
Despite heated discussions regarding the validity of the claim (e.g. Hacker News), this reminds us that a world with quantum computers is about to be born. All actors need to take this new future into account, in all its dimensions. This is even truer for those concerned with international security at large.
This new series focuses on understanding the coming quantum-AI world. How will this future world look like? What will be the impacts on geopolitics and international security? When will these changes take place…
Riots and protests have been progressively, and in an accelerating way, occurring in many countries, starting with France in 2005, spreading throughout most of the world, from the Arab Spring to Thailand through Hong Kong, the U.S. or, more recently Venezuela, Algeria and France with the Yellow Vest movement at the end of 2018 and […]
Foreseeing the future, whatever the name given to the endeavour, includes two major tasks.
The first one is, of course, the analysis, the process according to which the foresight, forecast, warning, or, more broadly, anticipation is obtained.
The second one is less obvious, or rather so evident that it may be overlooked. It is, however, no less vital than analysis. We need to deliver the output of the analytical process to those who need the foresight, the decision-makers or policy-makers. Ideally, the recipients must understand that output, because they will act on it. They need to integrate the new knowledge received in the decisions they will take.*
A huge challenge runs across these tasks: biases.
We must overcome the various natural and constructed biases – systematic mental errors – that limit human understanding. This article will present first the classical way we deal with biases: we consider them – quite rightly – as “enemies” and we devote much effort to mitigate them. Then, considering the specificity of the delivery stage, this article suggests that another strategy is necessary. We need to turn our usual strategy on its head and befriend biases. In that case, scenarios become a tool of choice for an enhanced delivery of our foresight to decision-makers […]
From the corporate world to governments, we seek to escape uncertainty and surprises. This is crucial to survive and thrive. It is also necessary for the protection from threats, dangers and risks. As a whole and generally, our abilities – if not willingness – to identify threats has improved with experience and practice. Notably, we became relatively efficient in […]
(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 […]
This article explores three major challenges actors face when defining and carrying out their policies and answers in terms of high performance computing power (HPC) and artificial intelligence (AI), considering the political and geopolitical consequences of the feedback relationship linking AI in its Deep Learning component and computing power – hardware – or rather HPC. […]
This article focuses on the political and geopolitical consequences of the feedback relationship linking Artificial Intelligence (AI) in its Deep Learning component and computing power – hardware – or rather high performance computing power (HPC). It builds on a first part where we explained and detailed this connection. Related Artificial Intelligence, Computing Power and Geopolitics […]
In this article, part of our series on the possible futures of the US dollar supremacy, we focus our attention on the scenario “The Rise of the Renminbi”, which we deem more interesting in the way it would unfold. In the previous article, we highlighted three different main lead scenarios that could potentially describe the […]