Polis is an AI-powered conversation platform used by companies, governments, nonprofits, and political parties around the world to inform decision-making. Polis combines quantitative and qualitative methods with advanced statistical methods to function as a state-of-the-art social research tool.
Polis works by creating a “conversation” that participants engage with by adding their opinions and voting on the opinions of others. This is the sort of data usually collected through time-consuming and expensive community forums, interviews, or focus groups.
Then machine learning methods uncover patterns in real-time—mapping out the entire conversation by visualizing correlations between opinions and participants, sorting participants into opinion groups, and surfacing areas of consensus and divisiveness.
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The Computational Democracy Project designs, engineers and maintains Polis, an open source, real-time system for gathering, analyzing and understanding what large groups of people think in their own words, enabled by advanced statistics and machine learning.
CompDem hosts https://pol.is/home, and provides support and services to communities of journalists, academic researchers and public servants innovating future democratic systems.
CompDem also maintains an extensive and growing knowledge base for those implementing Polis, as well as an open data repository and open source Jupyter notebooks for academics and data scientists participating in developing methods.