Discussions of whether or not one type of impact analysis - economic, social, or environmental - deserve precedence over the other are ill-founded and miss the fact that all three are necessary to inform good decision making and each other.

That said, economic analysis carries obvious advantages, being a robust way to weigh the impacts between different physical, financial, and subjective intangible effects for individual people, and then weight the balance of those effects between people. That dollars are only a convenient, but arbitrary, yardstick of relative preferences and therefore well-being is aside to the actual aims of economic analysis. Albeit one often poorly explained by economists, and therefore, commonly misunderstood by non-economists through no fault of their own.

Sparowly Group’s Senior Economist, Sam Miller provides a explainer to help demystify misperceptions.

The formalisation of data and algorithms has recently been the purview of computer science. And of course, the application of data and algorithms, in particular from the tech sector, has become essential to how we solve problems in our daily lives. We use data and algorithms to help us decide what movie to watch, or how to get directions in an unfamiliar city. But are there limits to the problems we can solve and decisions we can make by simply throwing an algorithm at a bunch of data? Sparrowly Group’s Ben Lever explores this.

Program evaluation is a crucial component of many government interventions, initially designed as pilot programs. Evaluating the successes and failures of a pilot enables highly informed decisions to be made about the program, whether it continues and scales up or not. What do you need to consider to ensure program evaluation is truly objective? Sparrowly Group’s Federico Moreno explains.