An independent nonprofit research institute in Austin, Texas.

The discovered architecture of reality.

Reality has one forced shape. A recognition is one thing told from another: a comparison actually made. Recognition Science starts from three facts that every question already uses, adds the stated conditions of each part of that shape, and proves that under them only one answer is possible. We follow that shape into gravity, matter, morality and meaning.

Start with the overview
Read the foundation paper
The Forced Core of Physical Reality. Manuscript (PDF), not yet peer reviewed.

Film · The Idea · 2 min 23 s

The three facts

Some things can be told apart.
Comparing two readings needs both.
Reading an old record is a new event.

Each fact, with an example

The forced shape in one view

Five answers, each the only one its conditions allow.

Each answer links to its worked example on the overview, and each example links to its proof.

Our mission

Derive all of reality.

One square for each thing reality has to account for, from counting to minds, grouped by domain. 11.7% are derived, in full or given a premise; grey squares are not yet derived. Point at a square to see its name; select it to open it on the map.

Open the map

Research

Peer-reviewed and published papers.

Each designed page shows one paper’s result working in your browser.

25 peer-reviewed journal papers in 2026, in 11 journals

Open The Papers

Long-form manuscripts
Book-length works from Recognition Science. Each follows one question and keeps the conditions of its results with them.
Cambrian
Our program for discovering new theorems, which ran until 6 November 2026. It joined pairs of proved results from the institute’s library of theorems into new claims; in its last week it settled ten problems the library had listed as open.

Our Science

Feature pages.

Each of these pages states one part of the structure, shows it working live and names the conditions it rests on.

Featured

Mathematics · Morality · Meaning

The Actuals

Mathematics, morality and meaning are built into reality: physical structures forced by the same act that forces physics.

Watch the film and explore The Actuals

Mathematics

δ is the mathematics that distinction forces.

From one repeatable act, telling two things apart, it builds arithmetic, the integers, the ratios and the line of real numbers. Every proof in it carries its price: the principles it uses beyond what distinction forces.
Gravity

Gravity from a lattice of events.

Events are records on a four-dimensional lattice. At long wavelengths, its weak waves obey Einstein’s linearized equations and travel on the light cone: proved at κ = 1, the value of the one free number in the lattice’s metric at which each step runs at light speed.
Simulation

Every lawful history of one recognizer, computed exactly.

A recognizer is any system that makes comparisons. We run the recognition law forward from the empty record, carrying every history the law allows.

Our people

Different disciplines. A shared ambition.

Our work connects mathematical foundations with molecules, plasmas, light and computation. The team brings the expertise needed to move between a formal result and a physical experiment.

Jonathan Washburn
Founder and Lead Scientist
Jonathan discovered and formalized Recognition Science and leads its development across intelligence, quantum computing and the physics of protein folding.
Dr. Elshad Allahyarov
Research Scientist
Elshad studies how particles interact in complex systems, from plasmas to advanced materials. He has served as a Senior Scientific Researcher at the Joint Institute for High Temperatures of the Russian Academy of Sciences since 1988.
Dr. Sebastian Pardo-Guerra
Research Scientist
Sebastian studies mathematical structures and their connections, working in category theory, graph theory and the foundations of Recognition Science. He completed postdoctoral work at the University of California, San Diego.
Dr. Megan Simons
Research Scientist
Megan uses theory and computation to study how molecules interact and respond to light, and how Recognition Science can help explain their behavior.
Dr. Anil Thapa
Research Scientist
Anil studies neutrinos, dark matter and the mathematical laws that describe how physical systems change, including those developed through Recognition Science.
Dr. Philip Beltracchi
Research Scientist
Philip studies gravity, rotating compact objects and the behavior of matter under extreme conditions. His earlier work includes the computational study of solids and renewable energy.
Dr. Roman Shugayev
Research Scientist
Roman develops radio-frequency and plasma technologies for semiconductor manufacturing and quantum devices. He built and operated a diagnostic ion accelerator at MIT’s Alcator C-Mod tokamak.
Dr. Dylan Funk
Research Scientist
Dylan uses mathematical models and simulations to study how plasmas behave, including how magnetic fields and electrically charged dust affect their motion.
Dr. Sajid Ahmed
Research Scientist
Sajid combines aerospace engineering and plasma physics to study how electrons move and instabilities develop in magnetized plasmas, using both experiments and computational models.
Emma Tully
Chief Operating Officer
Emma leads institute operations, bringing together research planning, budgets, partnerships and the publication process to support the team’s work.