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Learning Speed
The extent to which knowledge about deliberative processes can be generated, shared, and applied to improve the field.
To what extent can:
- Research opportunities be coordinated and data systematically collected?
- Trials be conducted rapidly enough to enable iterative learning?
- Are experimental designs rigorous enough to generate actionable insights?
Related Capabilities
Collectivize data
Ability to make data open and easily available to researchers.
Simulate prototyping
Urgent
Ability to run trials that are good enough to learn from, and fast enough to enable rapid testing of new methods and process comparisons.
Simulate processes
Urgent
Ability to simulate the interactions and decisions of actors (e.g., participants, stakeholders, facilitators, experts), subprocesses, or entire processes (e.g., for rapid process iteration and learning).
Related Product gaps
Research Observatory
Urgent
Research hub that coordinates deliberation data, standardized evaluations, and researcher-practitioner collaboration, providing secure access to historical process data, optimizing limited participant research time, and developing comparative evaluation frameworks for the field.
Process Design Simulation Sandbox
Urgent
Simulation environment that tests deliberative process designs by running multiple simulated processes, and predicting outcome distributions to show how design choices impact results.