compdemocracy/polis

What it solves

Polis is designed to gather public sentiment more organically than traditional surveys and with less effort than focus groups. It aims to scale deliberation by mapping high-dimensional opinion spaces to understand how different groups within a population feel about various issues.

How it works

The platform uses an AI-powered math engine (specifically a Python-based ML service called "delphi") to analyze participant responses. It maps opinions into a high-dimensional space to identify patterns and group participants based on their shared views, allowing for a visualization of consensus and disagreement.

Who it’s for

Polis is primarily intended for nonprofits and governments who need to gather large-scale public input and facilitate deliberation on complex topics.

Highlights

• AI-Powered Sentiment Analysis: Uses machine learning to map opinion spaces and identify groups.
• Scalable Deliberation: Designed to handle large numbers of concurrent conversations.
• Open Source: Available under the AGPLv3 license.
• Deployment Flexibility: Supports Docker-based infrastructure for both development and production environments.