Workgroups are the heart of how The Metaweb coordinates contributions. Each workgroup advances one Design Principle (DP) – pick yours and join an active community of contributors.
Workgroups are small, focused teams that move a single Design Principle (DP) from concept to working draft. Each workgroup has a charter, a coordinator, and a flexible roster of members who contribute as their time allows. There is no requirement to attend every meeting or write every line – workgroups run on async collaboration, with synchronous time reserved for moments that need it.
Every workgroup has seven named positions. Pick the role that fits the contribution you want to make.
Leads the workgroup, sets agenda, and coordinates contributors.
Shares recruitment, member approvals, and contributor coordination with the lead.
Edits drafts, coordinates document revisions, and maintains quality.
Presents workgroup output at meetings, webinars, or public sessions.
Facilitates meetings and helps the group reach consensus.
Coordinates with other workgroups, layers, or external partners.
Captures meeting notes, decisions, and action items.
Already a GovHub member? Pick a workgroup below and click "View workgroup," then use the Join button on the workgroup page. You can join as many workgroups as you have time for.
Browse workgroupsWant to step into a Coordinator, Editor, or other leadership role? Open any workgroup below and use the Nominate button – you can nominate yourself or someone else, and the nominee reviews the nomination before it goes to layer admins.
Open a workgroup to nominateApproved workgroups from every active layer, with The Metaweb listed first. Click any card to view details, members, and the Join button.
Developing standards for federated authentication systems that enable cross-platform identity verification while maintaining accountability and audit trails.
MoreCreating frameworks that empower participants with full control over their digital presence, decision-making authority, and ability to shape their environment.
MoreDesigning governance systems that can scale with exponential community growth while maintaining fairness, participation, and adaptability to emerging challenges.
MoreEstablishing protocols for complete data ownership, privacy by design, and user-controlled data portability across the Meta-Layer ecosystem.
MoreDeveloping decentralized naming systems that provide persistent, user-controlled identifiers and namespaces independent of centralized authorities.
MoreCreating secure, transparent commerce protocols that enable value exchange, micropayments, and economic interactions within the Meta-Layer.
MoreDesigning systems that reduce complexity while ensuring seamless interoperability between different platforms, tools, and communities.
MoreBuilding frameworks for meta-communities that span multiple platforms and enable fluid collaboration across organizational boundaries.
MoreCreating incentive structures that reward developers and communities for contributing to the ecosystem while aligning with long-term sustainability.
MoreDeveloping educational frameworks and tools that help participants understand and effectively use the Meta-Layer capabilities.
MoreEstablishing ethical frameworks and safety protocols for AI systems operating within the Meta-Layer to ensure alignment with human values.
MoreCreating community-driven governance models for AI systems that ensure transparency, accountability, and collective oversight.
MoreDeveloping containment strategies and technical measures to prevent AI systems from exceeding intended boundaries or causing unintended consequences.
MoreBuilding trust through transparent decision-making, auditable processes, and verifiable system behaviors throughout the Meta-Layer.
MoreEnsuring security through comprehensive provenance tracking, secure infrastructure, and verifiable data lineage across all interactions.
MoreDeveloping structured roadmaps with clear milestones that guide the evolution of the Meta-Layer while maintaining community alignment.
MoreCreating financial models and incentive structures that ensure the long-term sustainability and equitable growth of the Meta-Layer ecosystem.
MoreImplementing feedback mechanisms and reputation systems that reward positive contributions and maintain community standards.
MoreDeveloping systems that amplify community participation, enhance visibility of contributions, and strengthen community bonds.
MoreEnsuring community ownership through decentralized governance, shared decision-making, and equitable distribution of value and control.
MoreEnabling seamless interaction across multiple communication modalities including text, voice, video, AR/VR, and emerging interaction paradigms.
MoreExploring how the Meta-Layer can preserve the continuity of civic meaning across artifacts, evidence, interpretation, AI transformation, governance, and feedback over time. The group focuses on building the conceptual, governance, and technical foundations for durable, navigable, and plural collective memory systems that support civilization-scale collective intelligence without collapsing into surveillance, narrative capture, or synthetic consensus.
MoreCurates, evaluates, and surfaces desirable properties the current 22 may have missed. The Discovery workgroup triages community submissions, runs open calls for emerging challenges and missing requirements, and shepherds any promising new property from candidate to draft to Challenge inclusion. Responsible for keeping the set of DPs honest — closing gaps, merging duplicates, and capturing signals from practice (implementations, failures, regulatory shifts) that point to properties not yet on the list.
MoreMeta-Layer Governance provides the processes through which the community develops, evaluates, adopts, and maintains the standards that define the Meta-Layer ecosystem. Governance is centered on the progression of ML-Drafts into ML-RFCs (Meta-Layer Requests for Comment), ensuring that ideas move from exploration to constitutional status through transparent deliberation, implementation experience, and rough consensus. ML-Drafts serve as experimental and discussion-oriented documents, while ML-RFCs represent stable standards, governance frameworks, protocols, terminology, or Desirable Properties that have achieved broad community support. Advancement from Draft to RFC requires demonstrated utility, open review, documented feedback resolution, and evidence of community adoption or implementation where applicable. RFC approval and retirement decisions are made through a combination of rough consensus, public comment periods, and formal voting mechanisms when consensus cannot be clearly established. Beyond standards stewardship, governance also encompasses working group formation, dispute resolution, versioning and classification systems, archival practices, community representation, delegated authority, transparency requirements, and integration with DAO-based governance processes. The objective is not merely efficient decision-making, but the cultivation of a regenerative, accountable, and participatory process through which the Meta-Layer can evolve while remaining aligned with its foundational values and Desirable Properties.
MorePick a workgroup, click Join, and start contributing at the level that fits your time. If you want to lead, nominate yourself – the path from member to coordinator is open to everyone.
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