Why should evaluators care about emergence? Part 7 of a 10-part series on how complexity can produce better insight on what programs do, and why

This is part 7 of 10 blog posts I’m writing to convey the information that I present in various workshops and lectures that I deliver about complexity. I’m an evaluator so I think in terms of evaluation, but I’m convinced that what I’m saying is equally applicable for planning.

Uncovering program assumptions

Assumptions are what we believe to hold true. They may be tacit or explicit. It is okay to assume. In fact, it’s inevitable, because in order to make sense of a complex world, one needs to prioritize the variables and relationships that matter most. The danger is when the variables that aren’t pri oritized are thought not to exist entirely. That is to assume that we haven’t assumed.

Joint optimization of unrelated outcomes – Part 6 of a 10-part series on how complexity can produce better insight on what programs do, and why

This is part 6 of 10 blog posts I’m writing to convey the information that I present in various workshops and lectures that I deliver about complexity. I’m an evaluator so I think in terms of evaluation, but I’m convinced that what I’m saying is equally applicable for planning.

A pitch for sparse models – Part 5 of a 10-part series on how complexity can produce better insight on what programs do, and why

This is part 5 of 10 blog posts I’m writing to convey the information that I present in various workshops and lectures that I deliver about complexity. I’m an evaluator so I think in terms of evaluation, but I’m convinced that what I’m saying is equally applicable for planning.

Complex systems or complex behavior? Part 1 of a 10-part series on how complexity can produce better insight on what programs do, and why

This is part 1 of 10 blog posts I’m writing to convey the information that I present in various workshops and lectures that I deliver about complexity. I’m an evaluator so I think in terms of evaluation, but I’m convinced that what I’m saying is equally applicable for planning.

Complexity has awkward implications for program designers and evaluators – Part 2 of a 10-part series on how complexity can produce better insight on what programs do, and why

This is part 2 of 10 blog posts I’m writing to convey the information that I present in various workshops and lectures that I deliver about complexity. I’m an evaluator so I think in terms of evaluation, but I’m convinced that what I’m saying is equally applicable for planning.