ORIOpen Research Institute
Independent research initiative

Intelligence.
Evidence.
Cooperation.

We examine what published research supports, where explanations diverge, and which questions deserve the next careful test.

Seven programmes · three reading paths

A connected research map

Reliable knowledge

How can we distinguish a persuasive answer from a result we can verify?

Mind & identity

What can consciousness research measure, and what would continuity of identity mean?

Human cooperation

How do belief, institutions, values and accountability shape collective action?

01

Reliable AI research

When does an answer deserve trust?

Read programme →
02

Learning from verified results

What counts as useful verification?

Read programme →
03

Consciousness & measurement

Competing theories, observable indicators and limits of interpretation.

Read programme →
04

Digital continuity of identity

Memory, neural structure and the difference between a model and a person.

Read programme →
05

Religion, ritual & cooperation

Belief, group membership and collective action.

Read programme →
06

Voluntary coordination

Shared resources, participation and accountability.

Read programme →
07

Philosophy & meaning

Values, pluralism and the limits of measurement.

Read programme →
Available today

A public foundation you can inspect

7research programmes
21literature reviews
2formats: PDF + Markdown

Each programme includes an overview and two focused reviews with source references and explicit limitations. The existing library is in Russian; this website and presentation provide the English introduction.

English presentation · October 2026

Open Research Institute

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Intelligence. Evidence. Cooperation.

An independent research initiative.

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What can we know, and how can we check it?

Exploring AI, consciousness, identity and human cooperation through accessible reviews of published knowledge.

Current stage: literature synthesis and collaboration development.

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Seven programmes, three reading paths

Reliable knowledge · Mind & identity · Human cooperation.

The groups provide navigation. Each programme retains its own questions and evidence standards.

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Reliable knowledge

Reliable AI research: citation support, research agents and evaluation limits.

Learning from verified results: training signals, process checks and synthetic data.

No model-performance improvement is claimed.

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Mind and identity

Consciousness & measurement: theories, indicators and limits of interpretation.

Digital continuity: memory, neural structure and the difference between a model and a person.

No consciousness transfer or digital immortality result is claimed.

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Human cooperation

Religion, ritual & cooperation · Voluntary coordination · Philosophy & meaning.

Local findings require context. Philosophical arguments and empirical results remain distinct.

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The public research foundation

7 programmes · 21 literature reviews · PDF + Markdown.

One overview and two focused reviews per programme, with source references, objections and explicit limits.

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What the current work establishes

  • Published literature syntheses
  • Programme and reading catalogues
  • References and source-access notes
  • A public route for corrections

No external scientific peer review or original experiments are claimed.

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People, AI and research

People set questions, assess claims and take responsibility for decisions.

AI assistance supports finding, comparing and drafting material. Outputs still need scrutiny.

Experiments are a proposed next stage with agreed protocols and qualified collaborators.

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A first joint project: claim review

Choose one review and 20 jointly selected claims. Use two independent reviewers. Resolve disagreements explicitly.

Output: source passages, support ratings, corrections and a short English summary.

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A concrete contribution for each partner

Researchers — independent claim review.
Universities — supervised reading seminar.
Technical teams — bounded evaluation pilot.
Business partners — evidence brief for one decision.

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The next proof of progress

01 Agree one question.
02 Complete the review.
03 Release a useful output.

Completion criterion: every sampled claim has evidence and a disposition. A negative result is valid.

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What is one question we could examine together?

Start with a bounded, checkable collaboration.

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Collaboration

Start small. Make the evidence checkable.

Researchers & universities

Review a bounded set of claims or use a programme in a supervised reading seminar.

Engineering teams

Define one evaluation question and a limited technical pilot.

Business partners

Bring one decision where an evidence brief would be useful.

Current stage. Literature synthesis and collaboration development. “Institute” names the initiative; it does not imply accreditation, a registered scientific institution or a permanent research staff.