Policybot.io aims to foster an open community in learning to use policy analysis, data, and technology to address the challenges of the public sector, social issues, and government efficiency.

We aim to serve our multicultural-multilingual open-source community with sophisticated but easy-to-use software solutions.

We transform labor-intensive analysis pipelines by automating repetitive information retrieval channels and optimise analytical outputs.

We hope to motivate our community users to start passion projects and inspire decision makers to apply innovative methods to global policy, law, and political economy.

Through digital interest groups, we discover new approaches and share thoughtful insights with the community to get feedback on innovative ideas for projects.

1. Stop and notice our emotional reaction to a claim, rather than accepting or rejecting it, because of how it makes us feel
2. Look for ways to combine the "birds-eye" perspective with the "worms-eye" view of personal experience
3. Look at the labels on the data, ask whether we understand what is being described
4. Look for comparisons and context, putting any claims into perspective
5. Look behind the statistics, where they came from, and what other data might have been excluded
6. Ask who/what is missing from the data being shown, whether our conclusions might differ if they were included
7. Ask tough questions about algorithms and big data sets that drive them, recognizing without intelligent openness, they cannot be trusted
8. Pay more attention to the bedrock of 'official statistics' and the sometimes heroic statisticians who try to protect them.
9. Look under the hood of any beautiful charts/graphs being shared with you
10. Be curious, NOT defensive. ask how we might be mistaken, whether the facts have changed

• LASTLY, Constantly update your 'model' that makes up your beliefs & projects your reality of the world.

• 🔭 We are currently working on foreign diplomacy modeling, democratic bipolarization modeling, autocracy policy forecasting
• 🌱 We are currently learning Bayesian Inferences and applying time-series machine learning.
• 👯 We are looking to collaborate on country-specific projects.
• 🤔 We are looking for help with motivating and starting new data-driven projects in law, economics, and politics.
• 💬 Ask us about how to join and collaborate on digital humanities, social data science, and computational politics topics.
• 📫 How to reach us: [email protected]