jamorell Workshop – Complex Behavior in Models, Methodology, and Metrics

Evaluating for complexity when programs are not designed that way Part 10 of a 10-part series on how complexity can produce better insight on what programs do, and why

This is part 10 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.

jamorell Workshop – Complex Behavior in Models, Methodology, and Metrics

A few very successful programs, or many, connected, somewhat successful programs? Part 9 of a 10-part series on how complexity can produce better insight on what programs do, and why

This is part 9 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.

jamorell Workshop – Complex Behavior in Models, Methodology, and Metrics

How can the concept of “attractors” be useful in evaluation? Part 8 of a 10-part series on how complexity can produce better insight on what programs do, and why

This is part 8 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.

jamorell Workshop – Complex Behavior in Models, Methodology, and Metrics

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.

jamorell Assumptions in Program Design and Evaluation

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.

jamorell Workshop – Complex Behavior in Models, Methodology, and Metrics

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.

jamorell Workshop – Complex Behavior in Models, Methodology, and Metrics

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.