Strategic Foresight and Warning (SF&W) is at once process and analysis.

By SF&W analysis we mean all methodologies and related issues allowing for the development of an understanding grounded in reality that will generate best anticipatory products, useful to decision-makers and policy-makers for carrying out their mission (to find your way within the myriad of labels given to anticipatory activities, see Intelligence, strategic foresight and warning, risk management, forecasting or futurism? (Open Access/Free) and When risk management meets SF&W).

The larger SF&W analytical method can be seen as following steps, with use of various methodologies, notably to face specific challenges for each stage:

Strategic Foresight and Warning analytical methodology, foresight analysis, scenarios

A good bibliography is a typical part of what is involved in step 1, to which must be added an ongoing scan as what is done with the Red (Team) Analysis Weekly. A more detailed discussion of step 1 and 6 can be found in the section scan & monitor.

A summary of the methodology used for the second and third steps is presented here with mapping dynamic networks part I & part II;  followed by Determining criteria: a revisited influence analysis; Variables, values and consistency in dynamic networks; and finally Constructing a foresight scenario’s narrative with Ego Networks.

The Chronicles of Everstate are an early experiment exemplifying one way to map an issue and how ego networks can be used to develop narratives. Our online course, From Process to Creating your Analytical Model… focuses on the creation of the model, thus on the most fundamental part of these steps..

Examples of scenarios and their indicators are given for Syria and Libya. Furthermore, as far as Libya is concerned, we detail the methodology to evaluate the likelihood of each scenario. Another example of the narrative can be found here.

Those steps are also addressed in the section Assessing future security threats, where we share our latest insights and foresights on methodology using specific geopolitical global issues, risks and uncertainties as case studies.

The public part of our monitoring – step 6 – is done for various issues through The Sigils, as well as through The Weekly(both open access/Free) You can also find monitoring at work in our Horizon Scanning Board (Open access/Free). Furthermore, these real life indications allow checking the validity of scenarios, and updating the model used for each issue, if necessary.

Finally, monitoring is necessary – if not crucial – to identify new emerging issues (the feedback on step 1).

Published by Dr Helene Lavoix (MSc PhD Lond)

Dr Helene Lavoix is President and Founder of The Red Team Analysis Society. She holds a doctorate in political studies and a MSc in international politics of Asia (distinction) from the School of Oriental and African Studies (SOAS), University of London, as well as a Master in finance (valedictorian, Grande École, France). An expert in strategic foresight and early warning, especially for national and international security issues, she combines more than 25 years of experience in international relations and 15 years in strategic foresight and warning. Dr. Lavoix has lived and worked in five countries, conducted missions in 15 others, and trained high-level officers around the world, for example in Singapore and as part of European programs in Tunisia. She teaches the methodology and practice of strategic foresight and early warning, working in prestigious institutions such as the RSIS in Singapore, SciencesPo-PSIA, or the ESFSI in Tunisia. She regularly publishes on geopolitical issues, uranium security, artificial intelligence, the international order, China’s rise and other international security topics. Committed to the continuous improvement of foresight and warning methodologies, Dr. Lavoix combines academic expertise and field experience to anticipate the global challenges of tomorrow.

Leave a comment

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

EN