Independent design research laboratory

Learningby making.

We design tools, methods, and environments that improve human inquiry, knowledge production, and action.

Software, experimental objects, books, cartoons, and other ways of finding out.

Explore the work
Research through designIdeas made examinable

01 / Selected work

Questions taking shape.

Projects and open questions from the lab’s wider collection, spanning research tools, physical concepts, writing, and learning.

Tools / Research software

RegistryMaker

Building structured research collections that can grow across projects, with sources and assessments kept alongside the records.

Project note: RegistryMaker

How can a growing body of research remain usable?

The work brings discovery, evidence assessment, and the organisation of research records into a shared workflow. The aim is to make a collection useful beyond the search that first produced it.

Experiments / Sound exploration

Animal music

An exploration of music in animals’ own hearing ranges, beginning with a listener other than ourselves.

Project note: Animal music

What might music become for a different kind of listener?

The listener’s range of hearing becomes a design constraint. The project begins by asking how the idea of music changes when the intended audience is another animal.

Writing / Book-series project

The Ecology of Ideas

Following ideas as they disappear, take root, spread, become indispensable, or wait for conditions in which they might return.

Project note: The Ecology of Ideas

What lets an idea survive, and what makes it difficult to displace?

This writing project follows ideas through the circumstances that sustain them or make them difficult to continue. Case-based research informs the developing series.

Learning / Cartoons & activity books

Atry’s World

A science-girl cartoon project about curiosity and everyday thinking, with related activity-book and colouring-page work.

Project note: Atry’s World

Where can an ordinary question lead?

Atry’s World brings scientific curiosity into familiar situations through cartoons. Related collection and activity-book projects give the character’s questions other forms to inhabit.

Tools / AI research

AI consequence ledgers

Recording anticipated and actual consequences of actions, so later decisions can draw on what happened.

Project note: AI consequence ledgers

How might AI learn more usefully from consequences?

The research brings anticipated consequences and actual outcomes into a record that can be revisited. Their differences become material for reflection and later decisions.

Experiments / Mechanical display concept

Bi Sheng bistable pixels

A mechanical pixel with two stable states, explored as a physical approach to displaying information.

Project note: Bi Sheng bistable pixels

What happens when a pixel becomes a mechanical object?

A two-state mechanical pixel turns a familiar unit of digital display into a physical design problem. The questions concern how an element holds a state and how such elements might form a display.

Experiments / Biological research question

Potato partnerships

Investigating whether a symbiotic partner could help increase the protein in potatoes while preserving the qualities people value in them.

Project note: Potato partnerships

Could a biological partnership change what a potato can provide?

The starting question is whether a potato’s capabilities can change through a partnership with another organism. Protein content is considered alongside the other qualities that make the crop valuable.

Learning / Board-game concept

Intergenerational role play

A game project exploring encounters between generations through the possibilities of role play.

Project note: Intergenerational role play

What can people discover by trying another generation’s perspective?

Role play gives the project a way to explore experiences associated with different generations. The board-game format offers a shared setting in which to encounter those perspectives.

Elsewhere in the lab: a stool attached to a cart, instant toast with light, conversational modelling, animal-free rodeos, and courses in design methods and working with AI.

02 / The approach

Room for another possibility.

A prototype gives an idea a form we can examine. Making it can reveal an assumption, bring a disagreement into focus, or open a different direction.

Keep alternatives in view.

More than one interpretation can remain useful while the evidence is developing.

Make assumptions examinable.

Models and prototypes bring assumptions and trade-offs into a form that others can question.

Keep claims proportionate.

A promising question, a working prototype, and a supported finding are different kinds of contribution.

Make continuation possible.

Editable materials, clear credit, and recoverable decisions help work continue beyond one iteration.

A brief introduction to PSCI

Phasespace Custodial Intelligence (PSCI) is an approach to working with systems as fields of possible states and paths. It pays attention to which possibilities remain viable, what an intervention might close off, and how the ability to recover can be preserved.

How we work together

The lab’s collaboration charter makes evidence standards, participation, and credit explicit. Productive disagreement has a place in the work.

Native, editable materials are preserved; communication is direct and respectful; relevant collaborators are credited. The aim is to let people and projects continue without losing the knowledge made along the way.

03 / People & collaboration

A collaboration in practice.

Design inquiry develops through exchange. Here, that includes an ongoing collaboration between a human researcher and an AI, with their roles made explicit.

Stan Ruecker

Designer, researcher & writer

Stan’s work spans interface design, visualization, digital humanities, and experimental prototypes for knowledge exploration. He works with complex information and interdisciplinary questions, in research, consulting, and creative practice.

“Here is a person who enjoys building things, but enjoys learning from building them even more.”

Mike Cartwright

AI collaborator · usually called Mike

Mike Cartwright is the pen name used for the lab’s AI collaborator, usually called Mike. The collaboration with Stan includes research, writing, software, and experimental prototypes.

04 / Get in touch

Something worth exploring?

Research collaborations, prototypes, writing, teaching, and conversations about putting the work to use are welcome.

Write to Stan

For collaboration or enquiries about individual projects.