Universal Science Discovery

Map the unknowns.
Accelerate discovery.

Phase 1 · Discovery & adoption 1123 cross-domain bridges 1408 unknowns · 1274 hypotheses · 10 pre-formal observations Git-native · Open source

The Universal Science Discovery Repository — a version-controlled, AI-augmented knowledge engine for tracking what humanity doesn't yet know. Unknowns, hypotheses, and cross-domain bridges live together with rigorous separation between what's established and what we're still trying to falsify. No tunnel vision: every entry explicitly names the fields that should be talking to each other but aren't.

Find entries: full-text search (titles and claims), filter by domain chip, then explore the interactive knowledge graph. Press / anywhere to focus search after you scroll to it.

Jump to catalog search Browse domains Knowledge graph

Live catalog snapshot
1123bridges 1408unknowns 1274hypotheses 10phenomena 3857graph nodes 4517graph edges

Updated by python scripts/update_dashboard_stats.py --apply (catalog globs + docs/knowledge_graph.json meta). Wave milestones stay in ROADMAP.md.

GitHub Stars
Contributors
1274
Active Hypotheses
1408
Tracked Unknowns
1123
Cross-domain Bridges
10
Pre-formal Observations
4517
Knowledge Graph Edges
Heads up: Live panels need a local server. From repo root: python -m http.server 8765 — then open localhost:8765/dashboard/ · or view the hosted version at GitHub Pages ↗

Curated cross-domain engines

Six curated thematic lenses — shortcut entry points into representative bridges in the catalog, not exhaustive domain coverage.

Maintainer playbook (regenerate stats, domain pages, breakthrough cards): docs/DEV_DASHBOARD.md.

Scientific Pioneers

Foundational scientists whose work seeds cross-domain bridges — including underappreciated contributions ripe for rediscovery.

Nikola Tesla

AC power · Wireless energy · Bladeless turbine · Earth-ionosphere resonance

🌊

James Clerk Maxwell

Unified electromagnetism · Statistical mechanics · Maxwell's demon

🔥

Ludwig Boltzmann

S = k ln W · Arrow of time · Statistical foundations

🔮

Emmy Noether

Symmetry → conservation laws · Abstract algebra · Gauge invariance

📡

Claude Shannon

Information entropy · Channel capacity · Boolean circuits

🤖

Alan Turing

Turing machine · Halting problem · Morphogenesis reaction-diffusion

⚛️

Richard Feynman

QED path integrals · Feynman diagrams · Quantum computing pioneer

🌽

Barbara McClintock

Transposable elements · Genome plasticity · Epigenetic regulation

🐢

Charles Darwin

Natural selection · Common descent · Sexual selection · Earthworm geology

🔬

Rosalind Franklin

Photo 51 · DNA X-ray crystallography · Virus structure · Carbon microstructure

🎮

John von Neumann

Stored-program computer · Game theory · Quantum formalism · Self-reproducing automata

🌌

Albert Einstein

Special & general relativity · Photoelectric effect · Brownian motion · Bose–Einstein condensate

💻

Ada Lovelace

First algorithm · General-purpose computing vision · Analytical Engine programming

Breakthrough Gaps

World-reshaping breakthroughs stalled by cross-domain knowledge gaps. Cards below are generated from the breakthrough-gaps catalog (same YAML CI validates). Click a card to open the source YAML on GitHub; Alt-click (Option-click on macOS) jumps to Catalog search with a prefilled query.

TRL 7

Economically Viable Direct Air Capture of CO2

Direct air capture (DAC) at ~$100/tonne CO₂ (from current $400–1,000/tonne) would make it economically viable to remove atmospheric CO₂ at the gigatonne scale required to meaningfully address climate change. At $100/ton…

TRL 6

Programmable mRNA Therapeutics Beyond COVID Vaccines

The COVID-19 mRNA vaccines (BioNTech/Pfizer, Moderna, 2020–2021) proved the mRNA platform at TRL 9: design-to-manufacture in months, high efficacy, large-scale production. The platform is now being extended to personali…

TRL 5

High-Bandwidth Brain-Computer Interfaces for Restoring and Augmenting Neural Function

High-bandwidth brain-computer interfaces (BCIs) — capable of reading and writing neural activity at the resolution of individual neurons across large brain areas — would enable restoration of motor function in paralysis…

TRL 4

Commercial Fusion Energy — From NIF Ignition to Grid-Scale Power

Nuclear fusion — combining hydrogen isotopes to release energy via E=mc² — offers effectively unlimited, low-carbon electricity with no long-lived nuclear waste and inherent safety (no chain reaction, self-extinguishing…

TRL 4

Liquid biopsy for universal early-stage cancer detection

Detecting any cancer type at stage I from a blood draw — using circulating tumor DNA (ctDNA), cell-free methylation signatures, exosomes, or protein biomarkers — with less than 1% false positive rate and greater than 90…

TRL 4

Low-Temperature Electrochemical Water Splitting for Green Hydrogen

Scalable, low-cost water splitting using earth-abundant catalysts operating near room temperature would make green hydrogen competitive with natural gas reformation, enabling carbon-neutral fuels, long-duration grid sto…

TRL 4

Net energy gain controlled nuclear fusion at commercial scale

In December 2022, the National Ignition Facility achieved Q_fusion > 1 for the first time — the fusion reaction released more energy than the laser energy deposited in the fuel capsule. However, accounting for wall-plug…

TRL 3

Artificial and Enhanced Photosynthesis — Closing the Efficiency Gap from 1-2% to Theoretical Maximum

Natural photosynthesis captures ~1-2% of incident solar energy as chemical energy in biomass — orders of magnitude below the theoretical maximum efficiency (~11% for oxygenic photosynthesis, limited by thermodynamics of…

TRL 3

Cross-Disciplinary Scientific Discovery — Systematic Infrastructure for Cross-Domain Mathematical Bridge Translation

Scientific literature grows at approximately 4% per year, doubling every 17 years. As of 2024, PubMed alone indexes over 37 million articles; the total corpus of peer-reviewed science across all fields exceeds 100 milli…

TRL 3

Disease-Modifying Alzheimer's Therapy — Resolving the Causal Mechanism

Alzheimer's disease (AD) affects 55 million people worldwide and is the leading cause of dementia. After 25 years and >100 failed clinical trials, the amyloid hypothesis (Hardy & Higgins 1992) received partial vindicati…

TRL 3

Fault-Tolerant Quantum Computation at Practical Scale

A fault-tolerant quantum computer with ~1,000 error-corrected logical qubits would break RSA-2048 encryption, simulate quantum chemistry at pharmaceutical-design accuracy (protein folding, drug binding), and solve optim…

TRL 3

Fault-tolerant scalable quantum computing with more than one million logical qubits

Current quantum computers have 1,000-10,000 physical qubits but physical error rates of 0.1-1% per gate, far above the threshold needed for useful computation. Quantum error correction using surface codes requires appro…

TRL 3

Mechanistic understanding and reversal of biological aging

Aging is the largest single risk factor for cancer, heart disease, neurodegeneration, and metabolic disease, yet its mechanism is debated. The leading candidate theories include: epigenetic entropy (information theory o…

TRL 3

New Antibiotic Classes and Alternative Strategies to Overcome Antimicrobial Resistance

Antimicrobial resistance (AMR) is projected to cause 10 million deaths per year by 2050 (O'Neill Review 2016), exceeding cancer mortality. The WHO classifies AMR as one of the top 10 global public health threats. The la…

TRL 3

Rational de novo protein design for arbitrary function

AlphaFold2 and ESMFold solve the forward problem — predicting 3D structure from amino acid sequence — with near-experimental accuracy. The inverse problem remains largely unsolved: designing a novel sequence that will f…

TRL 2

Ambient-Pressure Room-Temperature Superconductivity

A material that superconducts at room temperature and ambient pressure would eliminate resistive losses in electrical grids (~5–10% of generated power), enable compact MRI and fusion magnets without cryogenic infrastruc…

TRL 2

Identifying the neural correlates of consciousness and subjective experience

The hard problem of consciousness — why and how physical processes in the brain give rise to subjective experience (qualia) — has no agreed scientific framework. The easy problems (explaining cognitive functions like at…

TRL 2

Whole-brain single-neuron resolution recording in awake behaving mammals

No technology can simultaneously record all ~86 billion neurons in a human brain at single-neuron resolution during natural behavior. Current state-of-the-art (Neuropixels probes) records roughly 10,000 neurons simultan…

TRL 3

Kilometer-scale global climate model for decadal regional prediction

Current operational global climate models run at 25-100 km horizontal resolution. At this resolution, key processes governing regional climate — mesoscale convective systems, cumulus convection, cloud microphysics, orog…

TRL 3

Neuromorphic computing at scale — brain-matched energy efficiency for AI inference

The human brain performs general-purpose intelligence at approximately 20 watts. Running a 70-billion parameter large language model requires ~70 watts per token generated at the GPU level, and a full inference data cen…

TRL 3

Post-Treatment Lyme Disease Syndrome (PTLDS) — Mechanism and Cure

Borrelia burgdorferi, the Lyme disease spirochete, causes persistent debilitating symptoms in 10–20% of patients even after standard antibiotic treatment. PTLDS (sometimes called chronic Lyme disease) involves fatigue,…

TRL 3

Rational engineering of soil microbiomes for carbon sequestration and crop yield

Soil contains approximately 10^9 microorganisms per gram, representing more than 10,000 species per sample interacting through metabolic exchange, competition, and mutualism in networks too complex to model from first p…

TRL 2

Programmable matter — reconfigurable materials that change shape and function on demand

Materials that can autonomously reconfigure their macroscopic shape, stiffness, and function in response to external commands do not exist beyond proof-of-concept demonstrations at millimeter scale. Shape memory alloys…

TRL 2

Scalable removal and degradation of ocean microplastics

Approximately 170 trillion plastic particles are estimated to be in the ocean, with an additional 8-10 million tons entering annually. Macro-plastic removal by systems such as The Ocean Cleanup is technically feasible b…

Automated knowledge-graph analysis

Three scripts that continuously mine the knowledge graph — surfacing gaps, proposing novel cross-domain connections, and flagging low-quality entries for human review.

Loading AI proposal counts…
🔭

Bridge Proposals

Domain pairs with high unknown density and no existing bridge — the most fertile candidates for the next cross-domain discovery.

View proposals ↗
🎯

Priority Targets

Unknowns with no hypothesis or bridge edge — the highest-impact contribution opportunities in the graph today.

View targets ↗

Quality Audit

Automated quality checks across all 401 catalog entries — errors, warnings, and improvement opportunities surfaced automatically.

View audit ↗
🧪

Hypothesis Generator

Pattern-matching engine that detects which mathematical framework (phase transitions, information theory, scaling laws) best connects two domains, then drafts bridge YAMLs for expert review.

How it works →
📚

Citation Index

Papers cited across multiple bridges — the most cross-domain influential works in the scientific literature. Shannon, Turing, Fisher, and their equivalents.

View index →

Static JSON endpoints

No authentication. No rate limits. Served directly from GitHub Pages. Base URL: https://kr8zysho3.github.io/Universal-Science-Discovery/api/v1/

Cross-domain connection map

Force-directed graph of the full catalog — bridges, unknowns, hypotheses, and phenomena (counts update live when the JSON loads). Hover a node to inspect it. Click a node for full details. Drag to reposition. Scroll or pinch to zoom.

3857 nodes  ·  4517 edges
Loading knowledge graph…
Bridge
Unknown
Hypothesis
Phenomenon
Connections
addresses_unknown
suggests_hypothesis
related_bridge
cross_pollination
scroll to zoom · drag to pan · click node for details

New here? Follow this order

Same path as CONTRIBUTING.md and docs/ONBOARDING.md, laid out as steps. Clone the repo so file links open directly in your editor.

  1. Know what you're joining

    Vision, motivation, and why this infrastructure matters for science.

  2. Scope and quality bar

    What lives here, what doesn't, and the rigor expected of every entry.

  3. Rigor: hypotheses vs. findings

    The evidence bar, claims discipline, and output conventions. Read before proposing any scientific claims.

  4. Integrity, data, and conduct

    Ethics policy, what data may be committed, and community norms.

  5. Make your first contribution

    Stream A: validate setup → add a u-… unknown → add a h-… hypothesis → open PR.

Pick a workstream, own it

Development is divided into independent areas. Find one that fits your skills, comment on an open issue to claim it, and open a draft PR early. Full details: WORKSTREAMS.md.

Step 1 — Claim
Find an issue labeled status:needs-owner. Comment "I'm taking this." A maintainer assigns it to you.
Step 2 — Branch
Create feat/<area>/<slug> from main. Open a draft PR immediately to signal what you are working on.
Step 3 — Ship
All CI must pass. Mark ready for review. One maintainer approval required. main is branch-protected — no direct pushes.
Content
⚛️ Physics
Add unknowns and hypotheses in quantum, particle physics, cosmology.
type:contentarea:physics
Browse issues ↗
Content
🧬 Biology
Seed unknowns in aging, oncology, ecology, and molecular biology.
type:contentarea:biology
Browse issues ↗
Content
💻 Computer Science
First CS unknowns needed. AI/ML, algorithms, and discovery systems.
type:contentdifficulty:starter
Browse issues ↗
Content
🌐 New Discipline
Propose Chemistry, Neuroscience, Climate Science, or another domain. Needs 3 seed entries and maintainer sign-off.
area:new-disciplinedifficulty:intermediate
Propose ↗
Engineering
📡 Ingest Pipeline
Extend the arXiv OAI-PMH harvester. Add OpenAlex, PubMed, or Semantic Scholar sources. Python + pytest.
type:toolingarea:ingest
Browse issues ↗
Engineering
📐 Schema & Validation
Improve YAML schemas, add new entry types (method, dataset), tighten CI validation rules.
type:toolingarea:schema
Browse issues ↗
Engineering · Phase 1
🕸️ Knowledge Graph
Build graph layer from YAML entries. RDF/JSON-LD export, NetworkX or Neo4j. Coordinate before starting.
area:knowledge-graphdifficulty:advanced
Browse issues ↗
Engineering
⚙️ Infrastructure & CI
GitHub Actions workflows, dependabot, link checking, CI reliability. YAML + shell.
type:toolingarea:infrastructure
Browse issues ↗
Docs & Design
📚 Documentation
Improve policy docs, onboarding guides, methodology. Good first workstream for non-coders.
type:docsdifficulty:starter
Browse issues ↗
Docs & Design
🖥️ Dashboard & Site
This hub and the MkDocs site. Vanilla HTML/CSS/JS and Markdown. Ship hub changes with the PR that motivated them.
area:dashboardtype:tooling
Browse issues ↗
Issue label key
difficulty:starter difficulty:intermediate difficulty:advanced status:needs-owner status:in-progress type:content type:tooling type:docs type:bug
Start with difficulty:starter + status:needs-owner. Full label guide in WORKSTREAMS.md.

Phase 1 — Discovery & adoption (2026–2027)

Phase 0 — Foundation is complete (governance, schemas, CI, catalog seed, graph, hub). Below are calendar- and community-dependent milestones; development and catalog growth continue in parallel.

Milestone progress

Active
Phase 0 Foundation complete — governance, schemas, CI, catalog seed, graph, hub (see ROADMAP.md).

0 / 7 Phase 1 milestones complete

Ring = completed Phase 1 items only. In-progress items still appear in the checklist below.

    Recent commits

    All commits ↗
    Loading activity…

    CI Pipelines

    Actions ↗
    Loading pipelines…

    Where to add knowledge

    Start with HAPPY_PATH_FIRST_RECORDS.md — the guided walk from zero to your first unknown + hypothesis PR.

    ⚛️
    Physics
    u-dark-matter-microphysics
    1
    Unknowns
    1
    Hypotheses
    🧬
    Biology
    u-aging-interventions-translatability
    1
    Unknowns
    1
    Hypotheses
    💻
    Computer Science
    cross-domain discovery algorithms
    0
    Unknowns
    0
    Hypotheses

    Stream A — first records

    Step-by-step: validate setup → add u-… unknown → add h-… hypothesis → open PR.

    Unknowns catalog

    Research gaps tracked as u-… YAML files under unknowns-catalog/.

    Hypotheses

    Testable proposals as h-… YAML with evidence links and falsification criteria.

    Cross-domain bridges

    Explicit connections between fields studying the same phenomenon — the anti-tunnel-vision layer. Schema: b-… YAML.

    Schemas & templates

    YAML schemas for validation and PR/issue templates for structured contributions.

    Contribution guide

    Rules of the road, AI use policy, and ingest integration notes.

    AI assistants (Cursor)

    If you use Cursor or other agents — rules and agent-specific policy.

    Understand the architecture

    Vision, roadmap, system architecture, and outreach framing.

    Repo entry & narrative

    Default landing for new visitors; overview of all major areas.

    Roadmap & phases

    North-star vision through 2035, phase milestones, and guiding principles.

    System architecture

    Discovery Core, Human Layer, AI Layer, and the Integration & Data Layer.

    Outreach framing

    Accurate language for external conversations and contributor recruiting.

    Trust, licensing, and how we run it

    Governance, legal framework, conduct, and the quality bar that makes contributions credible.

    Legal & licensing

    What the repo may host; third-party attribution and IP policy.

    Governance & ethics

    Decision-making structure, ethics framework, and integrity requirements.

    Quality bar

    CI gates, review lanes, definition of done — the anti-sloppiness playbook.

    Collaboration & reviews

    Review expectations, issue labels, and working group norms.

    Cadence & operations

    Branch protection, CI gates, and the daily operating rhythm.

    Maps & traceability

    From "this file" to "what policy it enforces" — audit trails and the full onboarding path.

    Doc map

    Guiding document → behaviours it governs.

    Repository manifest

    Full path index with governing policy per file — used for audits.

    Full onboarding path

    ~30-minute walkthrough covering every major document.

    Data & ingestion (technical)

    Phase A/B metadata plans, ingest envelope schema, and example data.

    Live checklist & roadmap

    Doc discipline: at each milestone or feature merge, update README, CHANGELOG (Unreleased), relevant docs/, and this hub if links change. · Pull requests · Open issues · CHANGELOG.md

    .planning/STATE.md

    Workspace state
    Loading…

    ROADMAP.md

    Phase 0–4 → 2035
    Loading…