我们所说的战略远见方法，是指这部分的一般 战略预见和预警方法 着重于预见性分析。换句话说，它是一种没有预警部分的一般方法。因此，它包括：
- 确定标准：重新审视的影响分析;
- 动态网络中的变量、数值和一致性;
- 用 "自我网络 "构建展望情景的叙述方式:这种方法是以 Everstate的编年史 - 它可以在分析者在发展其叙述时面临障碍的情况下作为指南和退路。然而，实际上，用自我网络建立一个完整的叙事，对于一个分析家来说可能太费劲了，无法系统地使用。如果人工智能被应用于SF&W，那么，可能，它可以从自我网络的方法中受益。
发布者：Dr Helene Lavoix (MSc PhD Lond)
Helene Lavoix博士 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.
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