how we can use co-design to create a participatory system of institutional decision-making

potential structure

Thesis: Participatory Decision-Making Using Co-Design and Partial Order

Claim: Many complex system design problems involve stakeholders with divergent or incommensurable preferences; instead of aiming for total consensus, participatory processes can yield partially ordered sets of solutions that reflect trade-offs transparently and support informed co-evolution.

Gap

Most participatory frameworks focus on facilitation and dialogue, but lack formal structures for comparing competing preferences or compositions of solutions.

Optimization frameworks assume total orders; real decisions often involve incomplete, evolving, or non-comparable preferences.

Existing design processes rarely show participants the structured space of possibilities or how solutions emerge from trade-offs.

Hypothesis

Co-design processes can be formally modeled using partial orders (posets), revealing where preferences align, conflict, or compose.

This model enables more transparent, explainable, and iterative participatory decision-making.

Theoretical Foundations

Category theory: posets as thin categories, functors as structured preference mappings

Decision theory: partial orders, Pareto frontiers, multi-objective trade-off spaces

Co-design (Zardini lab, Oikos, Urban Co-Design): participation as structured iteration, not consensus-seeking

Ethics of participation: transparency and agency arise from structured intelligibility, not necessarily from agreement

Method Overview

Model co-design outcomes as elements in a partially ordered solution space

Define functors that map stakeholder preference structures into solution-space rankings

Use case study data from participatory workshops (e.g., Oikos, public space planning) to extract preference structures

Build tooling or visualizations to show emerging posets of design options

Analyze how changes in stakeholder framing affect the partial order over time

Expected Contributions

A formal framework for co-design as participatory ordering, not forced convergence

Practical tools for participatory planning that reveal structure without reducing complexity

A generalizable model of participatory reasoning as partial epistemic consensus