Design Cybernetics

Feedback, Systems & Creative Intelligence

Type

Course

Taught by

Mriganka Madhukaillya

Format

30% theory · 40% studio · 30% case studies

Prerequisites

None

Final project

Redesign a system using cybernetic principles

About the course

Cybernetics is the study of feedback and control in systems. This course shows how it can transform design practice — linking systems theory with creative problem-solving so students can build products, services and experiences that respond intelligently to change.

In an increasingly complex world, static designs fail. The most resilient, innovative and human-centred designs behave as adaptive systems. The course introduces feedback loops, circular causality, self-regulation and emergence, and treats interactions between people, artefacts and environments as ongoing exchanges rather than one-way inputs and outputs. No maths or engineering background is needed — only curiosity about how living, connected, changing systems work.

What you'll learn

01Apply second-order cybernetics to reframe design problems as dynamic systems of observers and participants.

02Map positive and negative feedback loops to anticipate unintended consequences and encourage desired behaviour.

03Design for adaptation — interfaces, services and products that evolve with user needs.

04Use circular causality to move beyond linear, A-to-B thinking towards relational, systemic logic.

05Prototype reflexive systems using low-code tools, behavioural models and participatory methods.

06Critique and redesign existing products through a cybernetic lens — smart devices, social platforms, urban interfaces.

Key topics

01What is cybernetics? From Wiener to Pask to Bateson

02Feedback as form: how information loops shape behaviour

03The observer effect: designing with, not for, users

04Requisite variety: matching system complexity to environmental complexity

05Conversation theory: human–machine communication as ongoing negotiation

06Black boxes, grey boxes and transparency in design

07Ethical cybernetics: avoiding control traps and unintended lock-in

Course format

0130% theory, 40% hands-on studio exercises, 30% case-study analysis

02Weekly readings from Ashby, Meadows and Glanville, with plain-language guides

03Real-world design critiques — the Nest thermostat, adaptive dashboards, AI assistants

04Final project: redesign an existing physical, digital or social system using cybernetic principles

05Optional no-code simulation tools, such as Insight Maker and Miro for causal loop diagrams

Prerequisites

None. Familiarity with basic design methods, such as user journeys and prototyping, is helpful but not required.

Reading list

01W. Ross Ashby — An Introduction to Cybernetics (1956)

02W. Ross Ashby — Design for a Brain: The Origin of Adaptive Behavior (1960)

03Thomas Fischer & Christiane M. Herr (eds.) — Design Cybernetics: Navigating the New (2019)

04Kybernetes special issue — “Cybernetics and design”, Vol. 36, No. 9/10 (2007)

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