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Four network models

The foundation is shared. The institution is not.

Each model below describes a problem we have seen repeatedly, the member experience that answers it, the operator experience behind it, and the systems it must live alongside. The engine is the same in all four. Everything above it is designed once, for one institution.

Where each network model concentrates effort. Every capability is available to every model.
What variesEvents and summitsGovernment and expertsAssociations and membershipInnovation and challenges
Claimed historyImporting and claiming who was already therePrimary emphasisSubstantialPrimary emphasisPresent, lighter
Restricted spacesPrivate circles beside public discoverySubstantialPrimary emphasisSubstantialSubstantial
Issued credentialsRecognition with expiry and revocationPrimary emphasisSubstantialPrimary emphasisSubstantial
Contribution reviewEvidence, review pathways, outcomesPresent, lighterPrimary emphasisPresent, lighterPrimary emphasis
Identity integrationSSO and the authoritative recordSubstantialPrimary emphasisPrimary emphasisPresent, lighter
Data residencyWhere the workload is allowed to runPresent, lighterPrimary emphasisSubstantialPresent, lighter
Scroll the table sideways to compare all four →
Identical in all fourProvenance · Notary · Verify · Attestation · Disclosure · Subjects · Operations console · APIs and export
Primary emphasis Substantial Present, lighterThis shows emphasis, not availability. Every capability is available to every model. Where the weight falls is decided in discovery, for one institution.
Events and summits

Turn a moment in time into a network that compounds.

A valuable audience gathers, contributes and disperses. The website stays public, the event app goes dormant, and participation history fragments across registration, CRM and content systems. Next year begins from almost nothing.

The network model. A persistent, branded network connects verified participants, speakers, partners, topic communities, credentials and year-round opportunities around the institution’s mission. The event itself becomes one moment inside that network, rather than the whole of it.

Member experience

  • Claim historical participation
  • Discover people and expertise
  • Join topic and expert spaces
  • Carry credentials across editions

Operator experience

  • Manage claims and eligibility
  • Curate year-round knowledge
  • Activate cohorts and partners
  • Promote approved outcomes publicly

Integrations

  • Registration and accreditation
  • Event application
  • CRM
  • Public website and CMS

Outcomes measured

  • Year-round continuity
  • Institutional memory
  • External checks per profile
  • Visible contribution pathways
Government and experts

Create a trusted space where expertise becomes action.

Expert relationships live in spreadsheets, inboxes and one-off working groups. Knowledge becomes difficult to discover, harder to verify, and effectively impossible to carry forward between initiatives or administrations.

The network model. A controlled institutional network combines credible profiles, affiliations, public knowledge, restricted circles and contribution workflows around defined policy or programme priorities. Where required, it deploys inside the institution’s own jurisdiction.

Member experience

  • Maintain a trusted expert identity
  • Enter restricted working spaces
  • Discover relevant peers
  • Contribute evidence and ideas

Operator experience

  • Review claims and credentials
  • Control space-level access
  • Curate expert knowledge
  • Track programme participation

Integrations

  • Enterprise identity and SSO
  • Government CRM
  • Document and CMS systems
  • Existing public portals

Outcomes measured

  • Trusted participation
  • Persistent expert knowledge
  • Cross-institution discovery
  • Clearer programme governance
Associations and membership

Make membership worth more than a row in a database.

The membership system knows who is eligible. It rarely creates a compelling place for professional identity, contribution, recognition and peer discovery, so members renew out of obligation rather than value.

The network model. The authoritative membership record stays exactly where it is. A branded network activates identity, communities, knowledge, credentials and relationships around it, and turns membership itself into a dated, checkable fact rather than an unverifiable claim.

Member experience

  • Claim and enrich a professional profile
  • Find peers and expertise
  • Join relevant communities
  • Receive and verify recognition

Operator experience

  • Import and manage rosters
  • Review profile claims
  • Issue credentials
  • Curate member content and access

Integrations

  • Membership management system
  • CRM
  • Learning systems
  • Public website and CMS

Outcomes measured

  • Stronger member identity
  • Peer discovery
  • Recognised contribution
  • Renewal driven by value

Money can buy membership. It cannot buy competence. The data model keeps those two facts apart, not just the policy.

Innovation and challenges

Connect ideas to evidence, people and opportunity.

Challenges and accelerators generate applications, ideas and relationships, but the surrounding ecosystem resets between cohorts and programmes. What one cycle learns is unavailable to the next.

The network model. A persistent innovation network connects participants, organisations, topic communities, evidence, review pathways, credentials and future opportunities. A cohort can end without the ecosystem ending with it.

Member experience

  • Build a credible innovation profile
  • Submit ideas with evidence
  • Find collaborators and expertise
  • Carry recognition forward

Operator experience

  • Configure submission context
  • Manage access and review
  • Curate shortlisted work
  • Connect outcomes to future programmes

Integrations

  • Programme CRM
  • Application systems
  • Public innovation portal
  • Event and awards systems

Outcomes measured

  • Programme continuity
  • Discoverable innovation
  • Stronger contributor identity
  • Reusable ecosystem intelligence
Choosing a model

Most institutions recognise themselves in one of these, then vary it.

All four share the same foundation, so the differences are in emphasis rather than in what is available. Where the weight falls for your institution is decided in discovery.