All tagged Forecasting

How should we think about Complexity? Is it complicated?

Mark Easdown writes about complexity. In the mid 1980s, a school of thought emerged around “Complexity” and “Complex Adaptive Systems” with the formation of the Sante Fe Institute, formed in part by former members of Los Alamos National Laboratory. The institute drew from multi-disciplinary domains and insights of : economics, neural networks, physics, artificial intelligence, chaos theory, cybernetics, biology, ecology and archaeology. Theories on Complexity and Complex Adaptive systems sought to develop common frameworks and understandings of physical and social systems that was an alternate to more linear and reductionist modes of thinking.

Forecasting

Mark Easdown writes about forecasting. The prediction process starts with propositions, then verified, quantified and made actionable. A robust peer review occurs and 95% of predictions are modified along the way. Plummer routinely scrutinises predictions with actual events and these results are highlighted at conferences – championing the successes and sharing insights across those that were wrong. “Nobody here is hired because they’re psychic; there hired to generate insights that are useful – even if they turn out wrong. It’s useful to get you thinking”.