Evidence-based practice is important but there is debate on how best to achieve evidence-based behavior change.
Agile science targets three products that, when combined, match the complexity of real-world behavior change.
- Behavior change modules, which are self-contained and repurposable intervention components.
- Computational models, which specify complex interactions between modules, individuals, and context.
- Personalization algorithms, which are decision rules for intervention personalization and adaptation.
The Agile Science process emphasizes early-and-often sharing to support the collective development and evaluation of highly precise behavior change interventions.
For more details, read the paper. To get involved, join the Agile Science community!
If the thesis of agile science is correct, policy decisions should be explored that better enable early-and-often sharing of all scientific products, particularly early-and-often sharing of operations/ operational definitions of the three product types of behavior change modules, computational models, and personalization algorithms.