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.
Invitation to Participate — Assumptions in Program Design and Evaluation
We are actively seeking contributions to this blog on assumptions in program design and evaluation
Introducing a Blog Series on Assumptions in Program Design and Evaluation
Assumptions in Program Design and Evaluation
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.
Workshop: Logic Models — Beyond the Traditional View
We will move beyond the traditional view of logic models to examine their applicability, value, and relatability to attendees’ experiences.
Workshop: Grappling With the Unexpected From Firefighting to Systematic Action
All evaluators deal with unintended events that foul their evaluation plans. Either the program does not work as planned, or the evaluation does not work as planned, or both. Usually we treat these situations as fires, i.e. we exercise our skills to meet the crisis.
