The CIVIC Data Library of Context is a community hub that spans disciplines, lived experiences, regions, and cultures to engage the stories told and untold by data. This novel public resource is grounded in social justice and centers those the data seek to represent through participatory collaboration.
CIVIC is now seeking data publisher partners including government, academic, and nonprofit institutions who are excited to be a part of creating these new data processes and technology. We are also seeking expert contributors including librarians, data scientists, artists, storytellers, anthropologists, historians, software creators, and more.
The CIVIC Platform is open technology infrastructure for public data that embeds the principles of equity and impact with uncommon transparency into the process of data science, design, and visualization. Industry-grade technology, built for scale and owned in the public interest.
When you become a CIVIC contributor, we invest in your training, onboarding, and continuous support in a production environment. That means teams of talented people, worthwhile projects to work on, and a realistic plan for delivery and success.
Even for experts, contributing starts with a volunteer experience in our unique collaboration environment. But we know that volunteering isn't sustainable forever, especially for people who want to expand their participation.
That's why we created CIVIC Master Builders, a peer-nominated network of experienced contributors. We look to this network first for paid CIVIC team roles, from project-based consulting to part-time and full-time positions.
Become a Contributor
For institutions who are custodians of data in the public interest, we can create specialized teams to take your vision into production.
Every project we take on benefits from CIVIC's vast contributor network and extensible technical infrastructure. Individual projects are supported by a vast body of knowledge created over years of interdisciplinary work.
Each project improves our interconnected systems. This then accelerates future development and the adaptation of data models and tools across the nation and disparate focus areas, which has the added benefit of making this technology increasingly faster, more reliable, and cost efficient to build over time.
Start the Cycle
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