About the Institute
An independent research institute running a free, fast, fully-public peer-review process. Accepted authors are gathered into Persistence, the Institute's annual print paperback and ebook.
The Institute for Complexity Science and Advanced Computing is an independent research organization dedicated to the formal study of pattern persistence, dimensional scaling, and nonlinear dynamics across substrates. ICSAC operates outside traditional academic gatekeeping structures, answering instead to the standards of reproducibility, mathematical rigor, and open access. Its founding premise is straightforward: the conditions under which structured systems emerge, persist, and dissolve are amenable to precise quantification, and that work need not wait for institutional permission.
Research at ICSAC proceeds from first principles. Results are published under open licenses, datasets and code are made available for independent verification, and claims are bounded by their demonstrated domains of validity. Where a framework fails, the failure is reported alongside the success. This is not a policy choice but a methodological commitment: science that cannot be checked cannot be trusted.
Why ICSAC Exists
The peer-review publishing system is extractive by design. Journals charge authors thousands of dollars in article-processing charges to publish their work — then charge readers to access it. The research is often publicly funded. The authors receive nothing. The publishers collect the margin.
The peer review system — the supposed quality gate — runs on the same incentive structure. Reviewers are drawn from the same insular sub-communities as the authors they judge: the same institutions, the same grant competitions, the same citation networks. Publication decisions reflect prestige and curation politics as much as scientific merit. The replication crisis is not an accident. It is the predictable output of a system optimized for publication, not truth.
ICSAC was built as an alternative without apology for what it isn't. The work should speak for itself. Every paper published here arrives with its complete curation record attached — panel reviews, quality audits, methodology assessments — publicly available for anyone to read and challenge. Submissions are evaluated on technical soundness and reproducibility. The author's affiliation, credentials, and institution are not factors.
If the science holds, it publishes. If it doesn't, the review record explains why. That is the entire model.
Principles
- Rigor over affiliation. Work is judged by its mathematics and reproducibility, not by the institution that produced it.
- Open by default. Papers, data, and code are published under open licenses. Verification requires access.
- Honest boundaries. Every framework has limits. Reporting where a model fails is as important as reporting where it succeeds.
- Scope without walls. Rigorous research across all scientific domains is welcome. The review standard is the same regardless of field: sound methodology, honest boundaries, reproducible results.
- Accessibility of rigor. Research communicated without sacrificing precision.
- No credentials required. Research is evaluated on its merits. A spare room produces the same mathematics as a laboratory.
- Full curation transparency. Every review, every quality audit, every curation decision is published alongside the work. The record is permanent and open.
For authors, the principles take a concrete form. See what accepted authors get.
Code & Data
The curation system, panel orchestration, rubric prompts, scoring code, Review Quality Control audit, and citation verification — the entire machinery that produces a verdict — are published openly. Read it, audit it, fork it, run it on your own corpus.
Accountability
The Institute operates as Institute for Complexity Science and Advanced Computing LLC, a limited liability company organised in Indiana, USA. General correspondence: [email protected].
Curation work is conducted by a rotating advisor panel. The panel composition that evaluated a given paper is named in that paper's published review record. Each accepted paper carries the panel's scores, comments, and the Review Quality Control audit alongside the manuscript, so the people who made an curation call are identifiable on the record they produced. Aggregate panel performance is monitored and published at /stats.
Verification of an Institute-issued credential or accepted paper is available at /verify.