ALL IS
MOTION
A research programme investigating how past activity can be reconstructed from the traces, signals and transformations it leaves behind.
From motion to trace.
From trace to inference.
The programme treats archaeology as an inverse problem: given incomplete material traces, what can be scientifically inferred about the processes that produced them?
Motion
Processes occur through time. Change is fundamental.
Signal
Processes leave measurable information in their environment.
Trace
Archaeology encounters transformed and incomplete signals.
Reconstruction
Inference moves from observed traces toward generating processes.
Prediction
Models become useful when they generate testable expectations.
Research areas
A connected programme rather than a collection of unrelated projects.
Foundations of the method
Ontology, motion, materiality, organisms, environments and the assumptions underlying scientific inference.
Explore → Signal scienceSignals and inverse problems
How processes become observable signals, how signals are transformed, and how hidden processes can be reconstructed.
Explore → ArchaeologyArchaeological research
Material traces, lithics, landscapes, spatial processes and computational approaches to archaeological inference.
Explore → EngineeringEngineering & design
Robotics, automation and computational systems developed from the same underlying theory of processes and signals.
Explore → EssaysEssays & commentary
Long-form investigations into science, philosophy, archaeology, technology and the history of ideas.
Explore → MethodsData & computation
Machine learning, spatial analysis, modelling and computational methods for scientific archaeology.
Explore →Archaeology as signal reconstruction.
Past activity is inaccessible directly. What remains is a transformed signal: objects, sediments, spatial arrangements, surfaces and other traces.
Research in progress
The homepage should lead directly from the research programme to the actual work.
An Ancient Method for a New Science
Long-form theoretical research series
Archaeological inference as signal reconstruction
Conference research · IEEE Xplore
Research notes and developing methods
Archaeology · AI · data science · computational modelling
Peer-reviewed papers, conference contributions and technical work should have a permanent, easily accessible home rather than being buried among ordinary posts.
View publications →* “ποταμοῖσι τοῖσιν αὐτοῖσιν ἐμβαίνουσιν, ἕτερα καὶ ἕτερα ὕδατα ἐπιρρεῖ.”
Heraclitus, Fragment DK22 B12 (Eusebius (in his Preparation for the Gospel) quoting Arius Didymus who probably knew Heraclitus’ original words from Cleanthes, the 3rd-4th century B.C. Stoic)
