Add scientific bounty risk controls

scientific-bounty-risk-controls/README.md

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+# Scientific Bounty Risk Controls
+
+Self-contained contribution for SCIBASE issue #18, focused on anti-collusion, duplicate-submission detection, reviewer/sponsor conflict checks, and payout hold decisions for a scientific bounty marketplace.
+
+This module helps a bounty operator answer:
+
+- Are two solver teams submitting the same artifact or near-duplicate method package?
+- Are assigned reviewers or arbitrators conflicted with solver teams or the sponsor?
+- Do timing and anonymized network signals suggest coordination that should be spot-checked?
+- Which submissions are release-ready, which need manual review, and which should be held for arbitration before prize payout or IP handoff?
+
+It is deterministic, dependency-free, credential-free, and uses synthetic sample data only.
+
+## Run
+
+```bash
+cd scientific-bounty-risk-controls
+npm run check
+npm test
+npm run demo
+```
+
+Demo recording: `docs/bounty-risk-demo.mp4`
+
+## What It Includes
+
+- `src/bounty-risk-controls.js` - duplicate-submission checks, reviewer/sponsor conflict checks, timing/network signals, payout decisions, arbitration queue, and audit digest logic.
+- `sample-data.json` - synthetic challenge, solver teams, submissions, artifacts, reviewers, and review assignments.
+- `test.js` - Node assertion tests for text similarity, shared artifact hashes, timing/network signals, conflicted reviewers, payout holds, audit digest changes, and validation errors.
+- `demo.js` - CLI demo that prints a reviewer-ready risk packet.
+- `docs/requirement-map.md` - direct mapping to issue #18 requirements.
+
+## Design Notes
+
+This is intentionally not another broad bounty-system or marketplace mock. It focuses on the trust layer that should run before scientific prize payout:
+
+- Shared artifact hashes produce high-severity duplicate findings.
+- Similar methods and deliverable manifests produce manual-review signals.
+- Reviewer and arbitrator assignments are checked against institutions, prior collaborations, sponsor employment, and sponsor financial relationships.
+- Anonymized network reuse and short submission bursts are treated as review signals, not automatic fraud findings.
+- Payout decisions preserve solver fairness by separating `release-ready`, `manual-review`, and `hold-for-arbitration` states.
+- The audit digest lets future backend work persist and compare risk packets without storing private raw evidence in public logs.

scientific-bounty-risk-controls/demo.js

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+"use strict";
+
+const fs = require("node:fs");
+const path = require("node:path");
+const { analyzeScientificBountyRisk } = require("./src/bounty-risk-controls");
+
+const samplePath = path.join(__dirname, "sample-data.json");
+const sample = JSON.parse(fs.readFileSync(samplePath, "utf8"));
+const report = analyzeScientificBountyRisk(sample);
+
+const demoSummary = {
+  challengeId: report.challengeId,
+  sponsorId: report.sponsorId,
+  summary: report.summary,
+  duplicateFindings: report.duplicateFindings.map((finding) => ({
+    code: finding.code,
+    severity: finding.severity,
+    submissionIds: finding.submissionIds,
+    weightedSimilarity: finding.weightedSimilarity,
+    sharedArtifactHashes: finding.sharedArtifactHashes,
+  })),
+  conflictFindings: report.conflictFindings.map((finding) => ({
+    code: finding.code,
+    severity: finding.severity,
+    submissionId: finding.submissionId,
+    reviewerId: finding.reviewerId,
+    summary: finding.summary,
+  })),
+  timingFindings: report.timingFindings.map((finding) => ({
+    code: finding.code,
+    severity: finding.severity,
+    submissionIds: finding.submissionIds,
+    teamIds: finding.teamIds,
+  })),
+  payoutDecisions: report.payoutDecisions,
+  arbitrationQueue: report.arbitrationQueue.map((decision) => ({
+    submissionId: decision.submissionId,
+    teamId: decision.teamId,
+    payoutStatus: decision.payoutStatus,
+    riskScore: decision.riskScore,
+  })),
+  auditDigest: report.auditDigest,
+};
+
+console.log(JSON.stringify(demoSummary, null, 2));

scientific-bounty-risk-controls/docs/requirement-map.md

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+# Requirement Map for SCIBASE Issue #18
+
+Issue #18 asks for a Scientific Bounty System with challenge posting, secure submissions, arbitration, reward distribution, payout routing, IP controls, and trust on both sides of the marketplace.
+
+This contribution implements a focused risk-control slice that can sit between submission evaluation and payout.
+
+| Issue requirement | Implemented here |
+| --- | --- |
+| Challenge posting portal with evaluation criteria | `sample-data.json` models a challenge with sponsor, prize pool, payout policy, and IP policy metadata. |
+| Submission engine with standardized deliverables | Submissions include titles, abstracts, methods, deliverable manifests, timestamps, anonymized network IDs, and artifact hashes. |
+| Submission package validation | `compareSubmissions` checks shared artifact hashes and near-duplicate method/deliverable text before payout. |
+| Arbitration and third-party review | `evaluateAssignments` checks reviewer and arbitrator conflicts before their review can drive payout decisions. |
+| Reward distribution and payout routing | `payoutDecisionForSubmission` returns `release-ready`, `manual-review`, or `hold-for-arbitration` decisions with reasons. |
+| IP management options | The sample challenge carries `ipPolicy`, and payout holds prevent unsafe release before conflicts or duplicates are resolved. |
+| Trust on both sides | Findings separate high-severity conflicts from softer timing/network signals so sponsors, solvers, and reviewers get auditable decisions. |
+| Reviewer-ready evidence | `analyzeScientificBountyRisk` emits duplicate findings, conflict findings, timing findings, payout decisions, arbitration queue, content fingerprints, and an audit digest. |
+| Local verification | `npm run check`, `npm test`, and `npm run demo` run without credentials, services, or external dependencies. |
+
+## Non-goals
+
+- No real identity, payment, or wallet data is processed.
+- No live sponsor, reviewer, or solver accounts are required.
+- No external fraud-scoring service or ML model is added.
+- No private IP or undisclosed research data is committed.

scientific-bounty-risk-controls/package.json

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+{
+  "name": "scientific-bounty-risk-controls",
+  "version": "1.0.0",
+  "description": "Dependency-free anti-collusion and payout hold controls for SCIBASE scientific bounty submissions.",
+  "main": "src/bounty-risk-controls.js",
+  "scripts": {
+    "check": "node --check src/bounty-risk-controls.js && node --check demo.js && node --check test.js",
+    "demo": "node demo.js",
+    "test": "node test.js"
+  },
+  "license": "MIT",
+  "private": true
+}

scientific-bounty-risk-controls/sample-data.json

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+{
+  "generatedAt": "2026-05-15T07:45:00.000Z",
+  "challenge": {
+    "id": "challenge-biomarker-2026",
+    "title": "Identify reproducible inflammatory biomarkers from single-cell RNA-seq",
+    "sponsorId": "sponsor-neuro-lab",
+    "prizePoolUsd": 100000,
+    "payoutPolicy": "milestone-and-final-award",
+    "ipPolicy": "solver-retains-until-paid"
+  },
+  "teams": [
+    {
+      "id": "team-atlas",
+      "name": "Atlas Immunology",
+      "members": [
+        {
+          "id": "solver-chen",
+          "name": "Mina Chen",
+          "institution": "Northbridge University"
+        },
+        {
+          "id": "solver-owens",
+          "name": "Tariq Owens",
+          "institution": "Northbridge University"
+        }
+      ]
+    },
+    {
+      "id": "team-lattice",
+      "name": "Lattice Bio",
+      "members": [
+        {
+          "id": "solver-varga",
+          "name": "Elena Varga",
+          "institution": "River City Institute"
+        }
+      ]
+    },
+    {
+      "id": "team-mirror",
+      "name": "Mirror Methods",
+      "members": [
+        {
+          "id": "solver-ramos",
+          "name": "Iris Ramos",
+          "institution": "Northbridge University"
+        }
+      ]
+    },
+    {
+      "id": "team-cascade",
+      "name": "Cascade Genomics",
+      "members": [
+        {
+          "id": "solver-patel",
+          "name": "Dev Patel",
+          "institution": "West Harbor Lab"
+        }
+      ]
+    }
+  ],
+  "submissions": [
+    {
+      "id": "sub-atlas",
+      "teamId": "team-atlas",
+      "title": "Microglia inflammatory biomarker atlas with reproducible notebooks",
+      "abstract": "A single-cell RNA-seq workflow identifies microglia markers with confidence intervals and reproducible notebook evidence.",
+      "methodsSummary": "Normalize single-cell RNA sequencing counts, cluster microglia populations, test inflammatory marker enrichment, and validate biomarkers against held-out cohorts.",
+      "deliverableManifest": "Notebook pipeline, biomarker table, confidence interval report, reproducibility container, and summary manuscript.",
+      "submittedAt": "2026-05-15T07:02:00.000Z",
+      "anonymizedNetworkId": "anon-net-17",
+      "artifacts": [
+        {
+          "name": "analysis.ipynb",
+          "hash": "sha256:atlas-notebook-001"
+        },
+        {
+          "name": "biomarkers.csv",
+          "hash": "sha256:atlas-biomarkers-001"
+        }
+      ]
+    },
+    {
+      "id": "sub-lattice",
+      "teamId": "team-lattice",
+      "title": "Independent cytokine response model for biomarker nomination",
+      "abstract": "A graph-guided model ranks cytokine response markers and validates findings against public tissue atlases.",
+      "methodsSummary": "Build a graph model over cytokine pathways, rank candidate biomarkers, test specificity across tissue atlases, and report uncertainty for each marker.",
+      "deliverableManifest": "Graph model code, ranked biomarker JSON, validation summary, uncertainty report, and reproducibility notes.",
+      "submittedAt": "2026-05-15T07:08:00.000Z",
+      "anonymizedNetworkId": "anon-net-41",
+      "artifacts": [
+        {
+          "name": "model.js",
+          "hash": "sha256:lattice-model-201"
+        },
+        {
+          "name": "ranked-biomarkers.json",
+          "hash": "sha256:lattice-ranked-201"
+        }
+      ]
+    },
+    {
+      "id": "sub-mirror",
+      "teamId": "team-mirror",
+      "title": "Microglia inflammatory biomarker atlas with reproducible notebooks",
+      "abstract": "A reproducible single-cell workflow identifies inflammatory microglia markers with confidence intervals and validation cohorts.",
+      "methodsSummary": "Normalize single-cell RNA sequencing counts, cluster microglia populations, test inflammatory marker enrichment, and validate biomarkers against held-out cohorts.",
+      "deliverableManifest": "Notebook pipeline, biomarker table, confidence interval report, reproducibility container, and summary manuscript.",
+      "submittedAt": "2026-05-15T07:10:00.000Z",
+      "anonymizedNetworkId": "anon-net-17",
+      "artifacts": [
+        {
+          "name": "analysis-copy.ipynb",
+          "hash": "sha256:atlas-notebook-001"
+        },
+        {
+          "name": "biomarkers.csv",
+          "hash": "sha256:mirror-biomarkers-002"
+        }
+      ]
+    },
+    {
+      "id": "sub-cascade",
+      "teamId": "team-cascade",
+      "title": "Longitudinal biomarker stability screen for inflammatory disease",
+      "abstract": "A longitudinal validation workflow checks whether nominated markers remain stable across disease stages and instruments.",
+      "methodsSummary": "Estimate biomarker stability across longitudinal cohorts, compare instrument batches, and build a reproducibility score for each marker.",
+      "deliverableManifest": "Stability scoring script, batch comparison report, reproducibility scorecard, and reviewer evidence packet.",
+      "submittedAt": "2026-05-15T07:16:00.000Z",
+      "anonymizedNetworkId": "anon-net-17",
+      "artifacts": [
+        {
+          "name": "stability.js",
+          "hash": "sha256:cascade-stability-503"
+        }
+      ]
+    }
+  ],
+  "reviewers": [
+    {
+      "id": "reviewer-hale",
+      "name": "Dr. Nora Hale",
+      "institutions": [
+        "Northbridge University"
+      ],
+      "priorCollaboratorIds": [
+        "solver-chen"
+      ],
+      "financialSponsorIds": [],
+      "sponsorEmployee": false
+    },
+    {
+      "id": "reviewer-singh",
+      "name": "Dr. Asha Singh",
+      "institutions": [
+        "Independent Review Cooperative"
+      ],
+      "priorCollaboratorIds": [],
+      "financialSponsorIds": [],
+      "sponsorEmployee": false
+    },
+    {
+      "id": "reviewer-miles",
+      "name": "Dr. Owen Miles",
+      "institutions": [
+        "Sponsor Research Group"
+      ],
+      "priorCollaboratorIds": [],
+      "financialSponsorIds": [
+        "sponsor-neuro-lab"
+      ],
+      "sponsorEmployee": true,
+      "employerId": "sponsor-neuro-lab"
+    }
+  ],
+  "assignments": [
+    {
+      "id": "assign-1",
+      "submissionId": "sub-atlas",
+      "reviewerId": "reviewer-hale",
+      "role": "scientific-reviewer"
+    },
+    {
+      "id": "assign-2",
+      "submissionId": "sub-lattice",
+      "reviewerId": "reviewer-singh",
+      "role": "scientific-reviewer"
+    },
+    {
+      "id": "assign-3",
+      "submissionId": "sub-mirror",
+      "reviewerId": "reviewer-miles",
+      "role": "arbitrator"
+    },
+    {
+      "id": "assign-4",
+      "submissionId": "sub-cascade",
+      "reviewerId": "reviewer-singh",
+      "role": "scientific-reviewer"
+    }
+  ]
+}