Testable before argued
Hypothesis, null, rules, measurements and analysis are written down and hashed before any results exist.
- Preregistration
- Falsifiable
- Provenance
selfdriven · Science
An open, distributed home for adversarial, reproducible research. Hypotheses become preregistered experiments. Experiments become independent implementations. Evidence becomes a graph — including the parts that fail.
preregistered experiments in CBR-OEN, E001–E010
participant roles, each performable independently
replication target — three independent institutions
open protocol, shared by every network
The founding commitment
Where a claim about how the world works can be turned into a reproducible experiment, it should be tested openly, independently and adversarially. No organisation owns the conclusions.
No experiment proves the whole theory.
Read the principlesHypothesis, null, rules, measurements and analysis are written down and hashed before any results exist.
Confidence grows when independent programs — not shared code — reproduce the same phenomenon, in any language.
Review hunts for artefacts and hidden assumptions. A good challenge is a contribution — and a failed replication is kept, not dropped.
The lifecycle of a claim
Every result travels the same path. Each stage can be performed by a different group, at a different institution — and each can fail independently, which is itself a result worth keeping.
Hypothesis, null, rules, measurements and analysis are written down and hashed before results exist.
Independent teams build to the specification — not by copying the reference code — in any language.
Registered runs execute across university, HPC and independent nodes. Each emits a signed manifest.
Blinded analysis and independent replication test whether the effect survives new hands and new code.
Adversarial review hunts for artefacts and hidden assumptions. Surviving a challenge strengthens the claim.
The network
Each project is a federation, not a lab — a shared protocol that many independent groups can execute, replicate and contest.
The first network is open for participation. The protocol is domain-agnostic — more will follow.
Have a foundational claim that can be turned into a reproducible experiment? Bring the hypothesis — the network brings the rigour. Submissions open.
Experiment schemas, run manifests, seed registries and the evidence graph are common to every project — build once, reuse across networks.
Specifications, implementations, results and critiques default to public availability, under an open licence.
The commitments every participant shares — whatever they believe about the theory being tested.
Claims are expressed as falsifiable propositions wherever possible — not positions to be defended.
The experiment is the spec. It is defined and frozen before any results are observed.
Confidence grows when independent programs — not shared code — reproduce the same phenomenon.
Hypothesis, implementation, execution and analysis are kept apart wherever practical.
A finding that fails to reproduce is retained, indexed and discoverable — never quietly dropped.
Software version, parameters, seeds and analysis procedure are integral parts of a result.
A result should become stronger by surviving challenge. A good challenge is a contribution.
Participating institutions stay scientifically independent. Contribute one element or many.
Specifications, implementations, results and critiques default to public availability.
Evidence applies to individual claims, not to a worldview.
The selfdriven Foundation organises every entity around the same eight areas — coordinated by human conductors, executed by many independent hands.
Research program, founding questions and the protocol roadmap.
Institutional partnerships, adversarial collaboration and invitations.
Specifications, test vectors and onboarding for independent implementers.
Experiment schemas, run manifests, provenance formats and the evidence graph.
Open infrastructure, compute federation and long-term archival.
Preregistration, execution, replication and the statistical protocol.
Reproducibility status, negative-result retention and challenge records.
Federation of working groups, the Protocol Council and decentralised nodes.
The evidence graph
selfdriven.science doesn't treat the paper as the fundamental unit of knowledge. Results live in a graph of typed relationships — so a disagreement stays represented instead of collapsing into a single consensus sentence.