This repository contains a number of blog posts on various aspects of decision making. Integration and Implementation Insights (also known as i2Insights) is a community weblog (blog) for sharing methods, frameworks, processes, concepts, theories and competencies to better understand and act on complex societal and environmental problems (problems like refugee crises, global climate change, and inequality).

This repository contains a number of resources on various aspects of evidence-based management, produced by the Center for Evidence-Based Management (CEBMa).

This repository contains explanations of a number of common biases, especially as they are relevant to behavioural economics.

The basic idea of evidence-based practice is that good-quality decisions should be based on a combination of critical thinking and the best available evidence.

There is a spectrum of decision making - at one end of the spectrum we use our intuition and experience to make decisions, where there are typically a high volume of simple decisions to be made. At the other end of the spectrum, there may be complex decisions to be made, where the level of uncertainty is high and an analytical and evidence-based approach is needed to support the rules-based heuristics or experience we have gained over time in 'similar' situations.

As a new leader, learning to make good decisions without hesitation and procrastination is a capability that can set you apart from your peers. While others vacillate on tricky choices, your team could be hitting deadlines and producing the type of results that deliver true value. That’s something that will get you — and them — noticed.

Have you heard about The Cynefin Framework? You may well ask ”What are you talking about and how to you even pronounced the word “Cynefin”?”

If you’ve been online much recently, chances are you’ve seen some of the fantastical imagery created by text-to-image generators such as Midjourney and DALL-E 2. This includes everything from the naturalistic (think a soccer player’s headshot) to the surreal (think a dog in space). Creating images using AI generators has never been simpler. At the same time, however, these outputs can reproduce biases and deepen inequalities, as our latest research shows.

As somebody born and raised in Sicily, I reacted to ChatGPT’s joke with disgust. But at the same time, my computer scientist brain began spinning around a seemingly simple question: Should ChatGPT and other artificial intelligence systems be allowed to be biased?.