Systemic Altruism
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Justice & public goodsPreliminary editorial review

Data & Society Research Institute

Data & Society produces public-interest technology research and supports peer learning through its Public Technology Leadership Collaborative. Common evidence and specialist connections may help civic and government teams make better technology decisions.

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Systemic Altruism practice potential: 64–74/100
90% of weighted axes reviewed. A mechanism hypothesis, not proven effectiveness or a donation recommendation.

Who this work enables

Tools & support for charities: Research, peer learning, specialist matchmaking and policy analysis can help public-interest teams avoid repeatedly solving the same sociotechnical governance problems.

Humanity’s Checklist source match

Coordination · Gatekeepers — editorial, partial alignment.

Sharing research expertise coordinates institutional learning and can reduce dependence on vendor-led knowledge. This does not establish that procurement authority or community power changed.

Explicit checklist adoption: not verified. A mechanism match is not an affiliation, endorsement, evidence of effectiveness or a scoring bonus. Read the practice.

Focus classification: 2026-10-27. Based on the organization’s dated official sources below; earlier axis-review dates are unchanged.

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The proposed pathway

Build shared sociotechnical research and public-sector policy capacity

Six dimensions, with rationale

Structural depth

3 / 4

Research and policy support address the institutional assumptions behind technology procurement and use, not just isolated digital-service problems.

Institutional reach

3 / 4

A peer network spanning researchers and government can influence multiple institutions; its self-reported membership does not establish improved public outcomes.

Durability

2 / 4

Published research and institutional learning can persist, but networks and fast-changing technology policy still require ongoing support.

Scalability

3 / 4

Shared analysis, peer learning and expert matchmaking can reduce duplication, while specialist staffing, trust and policy context constrain replication.

Funding additionality

Unreviewed

Unknown: publishing financial statements and inviting support does not establish an audited marginal funding gap or the projects another donation would uniquely enable.

Community agency

Unreviewed

Unknown: advisory groups and public-interest values do not establish binding affected-community control over research questions, budgets or government decisions.

Evidence and selection

Primary-source programme and identity documentation; no independent impact validation in this review

Illustrative inclusion to examine this mechanism. Inclusion is not an external recommendation or a verified comparative ranking.

A testable next question

For a defined group of public or nonprofit teams using the collaborative, does peer learning and expert access change documented procurement or governance decisions compared with similar teams without that support?

Review confidence: Low–medium for the documented mechanism; low for causal effectiveness and donation comparisons. Data & Society Research Institute’s public research and Public Technology Leadership Collaborative, not a separate collaborative charity or every decision by a participating institution.

What remains uncertain

Assessed as the named nonprofit Data & Society Research Institute and its shared research/peer-learning work, not the authority or results of participating governments. Its financial index lists recent reports, but this review did not audit the underlying accounts or current marginal finances. Self-reported network size is not a causal outcome. The collaborative is not a separately counted charity. Public reports and convening are capacity resources, not inspected code, so there is no software-license badge.

Sources to inspect

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Axis review: 2026-10-27 · weighting method v0.2 (2026-10-26) · Method, conflicts and coverage