featured

Each week our scan collects weak – and less weak – signals for global changes, national and international security, political and geopolitical risk of interest to private and public actors. … Continue reading Turmoil in Europe – The Red (Team) Analysis Weekly – 6 December 2018

France faces an escalating protest movement. This movement is called the “Yellow Vests”. The French government appears to be always late in the way it answers it; political analysts appear to be surprised by what is happening and to struggle to understand. Meanwhile, violence increases.
To contribute to the explanation of the French Yellow Vest movement, … Continue reading Understanding the French Yellow Vests Movement and its Crescendo (1)

A race has started for quantum technologies or quantum information systems (QIS). Indeed, considering initially and notably the consequences in terms of cryptology – dubbed a “crypto-apocalypse” – no country may allow another state or a foreign company to be the first to develop quantum computing.

However, since the initial worry about cryptology somehow triggered the current quantum revolution, the situation has changed, discoveries have taken place… read more

This article provides a first assessment of the prospects for the German 3 billion euros funding for its new November 2018 Artificial Intelligence Strategy in the global AI-power race. It notably finds that this constitutes a possible challenge in the current AI-power race for private and public actors alike: Germany strikes back but the road ahead is competitive. The possible quantum disruption to AI might be one fruitful strategic choice for Germany, as well as for France and the UK (in a geographical and historical European perspective)…. Read more

The warming Arctic is the stage of an ongoing maritime, geopolitical and geo-economic revolution.

For example, end of August 2018, the Danish Maersk Company, one of the major ship owners in the world and the world’s largest container shipping company by both fleet size and cargo capacity, sent a first container ship using this route, in order to test its commercial use. The ship went from Vladivostok to Saint Petersburg, through the Bering Strait, following the northern coast of Siberia (Tom Embury-Morris, “Container Ship Crosses Arctic Route for First Time in History Due to Melting Sea Ice”, The Independent, 18 September, 2018).

Since 2013, each year, the number the number of Chinese cargo convoys using the Russian Northern Sea Route, also known as the North East passage, increases thanks to the rapid warming of the region, which transforms

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?

To access this article, you must become one of our members.
Methodological articles are also accessible through registration to our online course.

Log in if you are a member.

As we enter the “fourth industrial revolution”, the age of the digital transformation, a new emerging “AI-world”, and the “second quantum revolution”, national and international security must adapt. It must do so by anticipating this future world, avoiding surprises related to new – but also old – threats and dangers, while seizing the immense opportunities offered by what is no less than a change of paradigm (For the labels, respectively, Klaus Schwab, World Economic Forum, Helene Lavoix, The Future Artificial Intelligence – Powered World series, The Red (Team) Analysis Society, Jonathan P. Dowling, Gerard J. Milburn, “Quantum Technology: The Second Quantum Revolution”, 13 Jun 2002, arXiv:quant-ph/0206091v1).

Accès à la version française

The strategy related to cyber space and cyber security varies according to countries – and actors. It is handled in various ways by different types of agencies. After having briefly presented the main French, British and American state actors for cyber security, we shall focus on the French outlook and present the ANSSI, its goals and finally new outreach initiative, Agora 41.

This is an update of the 17 September 2018 release of this article analysing the economic costs of climate change on the U.S. economy in 2018. This update integrates the consequences, and especially the costs, of the super hurricane “Michael”, which hammered the Florida panhandle, then Georgia, North Carolina and Virginia, between the 10 and the 14 of October 2018 (Camilla Domonoske, “Michael Will Costs Insurers Billions, but Won’t Overwhelm the Industry, Analysts Say”, NPR, October 14, 2018).

“Michael” took over from “Florence”, the monster storm that hit and battered the U.S. East Coast on 12 September 2018. It looks like a new climate-related disaster “peak”.  It could announce a transition towards possibly worse, considering the last 12 months of climate hellish conditions.

Thus, a major question arises: is climate change becoming a major risk for the U.S. economy? If yes, how should economic actors react (Jean-Michel Valantin, “Climate Change: The Long Planetary Bombing”, The Red (Team) Analysis Society, September 18, 2017)?

On 12 October, Chinese Huawei launched its new Quantum Computing Simulation HiQ Cloud Service Platform (Press Release).  On 13 September 2018, the U.S. House of Representatives approved the “H.R. 6227: National Quantum Initiative Act” with $1.275 billion budget from 2019 to 2023 on quantum research. The Chinese government yearly investment in quantum science is estimated to$ 244 million (CRS, … Continue reading The Coming Quantum Computing Disruption, Artificial Intelligence and Geopolitics (1)

On 24 September 2018, the U.S. Secretary of Commerce imposed new tariffs on 200 billion dollars worth of Chinese goods, thus widely escalating the “trade war” initiated by president Donald Trump against China in April 2018. Beijing immediately retaliated with tariffs on 60 billions worth of American goods (Will Martin, “China Hits Back at Trump with Tariffs on $60 Billion of US Goods”, … Continue reading The U.S. Economy, between the Climate Hammer and the Trade War Anvil – the Soybean Case