| Session Title: Fuzzy Logic Models: Embracing and Navigating Complexity |
| Demonstration Session 651 to be held in Avalon A on Friday, Nov 4, 1:35 PM to 2:20 PM |
| Sponsored by the Program Theory and Theory-driven Evaluation TIG |
| Presenter(s): |
| Matt Keene, United States Environmental Protection Agency, mattkeene222@gmail.com |
| Chris Metzner, ChrisMetzner Data Visualization and Graphic Design, chrismetzner@gmail.com |
| Abstract: Evaluation teams use logic models for program description, communications and designing evaluation questions and methods. The development and use of logic models is often limited to the immediate stakeholders of a clearly defined program during the initial stages of the evaluation process. A fuzzy logic model embraces fluid and approximate reasoning and varied context to improve the capacity of logic models to navigate non-linearity, feedback loops, and other key concepts of complexity. Integrating web 2.0, graphic design and data visualization with traditional logic models creates opportunities to account for complexity and expands access and use of the evaluation process to a greater diversity of stakeholders over a longer period of time. In this demonstration, facilitators will introduce an example of a fuzzy logic model (www.paintstewardshipprogram.com) and use a draft wiki-style online handbook to walk session participants through the steps and resources necessary to create a fuzzy logic model. |