Data Union DAO

About Data Union DAO

Build, connect, and ethically source data sets like never before. Learn more about Data Union DAO, support each other in building new Data Unions and join our bi-weekly community townhalls.

The community at a glance

Data Union DAO is a Discord Server for Data Scientists and Web3 Developers with roughly 456 members. It has been around since 2021. It has a live chat communication style. It also includes events or meetups and a community token or on-chain element. On the Hive Index it ranks #4 in the Data Science communities list.

On Discord

Established 2021

456 Members

Community Topics

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Frequently asked questions

Who is Data Union DAO for?: Best for Data Scientists and Web3 Developers enthusiasts looking for a Discord-based community with live chat, events or meetups.
Is Data Union DAO free to join?: This listing is not marked as paid-only. Access rules and any fees are decided by the community.
How many members does Data Union DAO have?: Roughly 456 members, based on figures reported by the community or its host. Member counts are approximate and change over time.
What platform is Data Union DAO on?: Data Union DAO runs on Discord. Discord is an American VoIP, instant messaging and digital distribution platform designed for creating communities. Users communicate with voice calls, video calls, text messaging, media and files in private chats or as part of communities called "servers". Discord originally became popular in the gaming communities, but now has spread to software developers, crypto, and beyond.
What topics does Data Union DAO cover?: On the Hive Index, Data Union DAO is organized under Data Scientists, Web3 Developers.
How do I join Data Union DAO?: You can join Data Union DAO by clicking this link, or pressing the "Go to community" button above.
What are the Data Science communities like?: Communities for data scientists and analysts covering machine learning, statistics, Python, and real-world data projects. Slack, Discord, and Reddit all have active communities, ranging from beginner-friendly spaces for breaking into the field to more technical groups discussing research papers and production ML systems.