Part 2 of Meadow’s banger ‘Indicators and Information Systems for Sustainable Development’. Extracts: · “Indicators are partial reflections of reality, based on uncertain and imperfect models” · “The stock market price is not the value of the company. No indicator is the real system. Indicators are abstractions from systems” · And are “are abstractions from abstractions, from models,… Continue reading “Indicators are partial reflections of reality, based on uncertain and imperfect models” – Part 2 Donella Meadows sustainable indicators
Tag: indicators
“Measuring what’s measurable rather than what’s important” – Better indicators part 1: Donella Meadows
A banger report from the late, great Donella Meadows, talking about sustainable indicators. WAY too much to cover, so extracts over 3-4 separate posts. Today is background on indicators before the specific and meatier stuff. Extracts: (** Part 2 in comments **) · “We have many words for indicator— sign, symptom, omen, signal, tip, clue, grade,… Continue reading “Measuring what’s measurable rather than what’s important” – Better indicators part 1: Donella Meadows
The safety measurement problem revisited
A response from Kjellén to Hopkins’ 2009 article about indicators (link in comments). [See week’s compendium dedicated to Hopkins & Hale] Extracts: · “LTI-rate gives the same weight to injuries with dramatically different consequences; that the measure is easily manipulated; and that natural statistical fluctuations make it useless for feedback control of other than the largest… Continue reading The safety measurement problem revisited
Visualizing what’s missing: Using deep learning and Bow-Tie diagrams to identify and visualize missing leading indicators in industrial construction
This study, among a few other things, compared 633 incidents against >9 inspection reports with similar contexts to understand the overlap. Data was from a Canadian construction project over 3 years. E.g. They used multi-methods, including natural language processing, text mining, bow ties and more to evaluate if field inspections are looking at the same… Continue reading Visualizing what’s missing: Using deep learning and Bow-Tie diagrams to identify and visualize missing leading indicators in industrial construction
SafetyInsights.org 