2012 predictions (2) ZeroHedge, Globalization, The Decade Ahead, And Asymmetric Returns, 12/26/2011 ZeroHedge, Jim Rogers 2012 Outlook: Pessimism With Scattered Crises, 12/26/2011 Derek Abma on 2012 predictions by Douglas Porter, deputy chief economist with BMO Capital Markets, “Canada to avoid recession next year despite Europe,” The Vancouver Sun, Financial Post, December 26, 2011 Ryan Mauro, Top 12 Threats to Watch in 2012, Family Security Matters, December 27, 2011 Tony Karon, “If 2011 Was a Turbulent Year for Obama’s Foreign Policy, 2012 Looks Set to Be Worse,” (Survey of the top ten global crisis issues facing the U.S. in the new year), Time.com Global Spin, December 27, 2011. Moneycontrol bureau, “Keep your coats on! It’s going to be a stormy 2012,” (summary of financial and eco …
Category Archives: Methodology of Strategic Foresight and Early Warning
2012 predictions for conventional and unconventional national security
2012 predictions for conventional and unconventional national security Every year, a host of actors, from newspapers to magazines, from think tanks to futurists and other experts, publish predictions at the dawn of every New Year. The aim here is to create a repository of all the predictions done for 2012 that are directly or indirectly related to national security, as primary material for all those who would like later on to sort them, analyse them and finally test them. The section will be populated as forecasts and webpages are published and identified. You are most welcome to post a link to 2012 predictions you found or did in the comments. Please mention the origin, date, title and hyperlink. And to start with: The …
Continue reading “2012 predictions for conventional and unconventional national security”
Variables, Values and Consistency in Dynamic Networks
In this article we explain and discuss the methodological background that allows us to set the criteria for Everstate – or for any country or issue chosen – as exemplified in the post “Everstate’s characteristics.” Meanwhile, we also address the problem of consistency.
Revisiting influence analysis
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.
Modeling for Dynamic Risks and Uncertainties (2) : Mapping a Dynamic Network
Go back to Part 1
Actually, any SF&W model as it primarily deals with time should be a dynamic network. How can we expect obtaining any potential outline for the future if our model for understanding is static?
Our map thus aims at representing the potential dynamics of polities. We shall notably use Ertman’s work on past state-building, but making it adaptable to present and future conditions.
