J'ai assisté stratégiquement Patrick Dubé lorsqu'il a réalisé la cartographie de ce processus d'innovation sociale intégrant une importante activité de recherche ethnologique.

1. Fundamentals of the model
Non linear Innovation Support model for Living Labs. V. 1.0
Dubé and Belisle (2010)
Approach is based on a “Creation experience design” imodel joining
creativity facilitaton strategies (bottom-up and top-down)
to promote self-organisation in creator community.
Self organisation is de ned here as a vector of metrics describing
the psycho-socio-cultural state of an indivudual / crative group (PSC Mandala)
enhancing innovation through extrinsic disturbances
Study PSC patterns in relationship to global innovation outcomes
(emergent business models, etc.) Linear Ethnographic Non Equilibrium Ethnographic Dialogue (NEED)
Top-down Facilitation
Learn from the transcient and long-term dynamics of the model at
ne and coarse temporal scale to understand non equilibrium
Dialogue (LED) (Complex Systems iterative Farming)
innovation dynamics
Energy
input Reframe
De ne attractor state
Touch-up
De ne non equilibrium hierarchies
Premises of the model Use of Positive Feedback and Breaching events
Promote attractor Gradation ?
Play with Adaptive tension
Play with critical Boundaries (de ne the “ZONE”)
Creative Structures and strategies emerge from selforganized Present unconstrainsed alternate Scenarios
bottum-process arising to dissipate of external energy in the system
Cross-pollinate (play with contrasting elements, etc.)
Social and Tech. Innovation emerges from usages
Values are strong attractors, Play with them Self-organisation Learning / insights
(usages in uence cognition, cognition in uence usages
Create force di erentials (like in weather)
PSC State Mandala (pattern) Characterize Sensitivity to critical values
Promote risk taking
Social reality builds itself continuously on social dialogue Identify opportunities and issues
Adaptive response / Describe emergent innovation (social / tech)
alignment
Self-organisation arises at the “edge” of chaotic dynamics, therefore it is
fundamentao to bring the system far from equilibrium by means of disturbance
Emergent innovation in groups is associated to
Search strategies
Interaction rules
Energy Characterize emergence
unconscious social and cognitive processes and short lived events
Initial conditions Modify Ecosystem Structure
dissipation (dynamics/structure)
Project
Stating the problem Organize Work and De ne Ecosystem Explore (within agile iteration) Capture Processing
spino s
Frame the Project Set-up material context Facilitation rules Monitor Symptoms of emergence
Transform ideas into Concepts
In praize of Paradoxes
innovation toolsets & empowerment methods
Motivations Variation in communication levels Experiment on delivery formats
Motivations Co-working space Detect apparent attractors (obstacles)
Promote space appropriation Network formation Evaluate and rank innovations attributes
Alignment Embrace Weirdos Motivational Valence
Bottom-up Facilitation
Resonance of individual Find Tweakers (unusual users) Unexpected events from sensitivity De ne functional models
Hypotheses of the model and collective goals
Objective and expectations
Set-up human context
Find New Situations Crossed- Competences acquisition
Extract analogies and metaphors
De ne values Practice Everywhere
PSC identity Deal with Limits Extract Common categories and Tags
Team-up (Trust, Commitment, Roles etc)
Mood
Set-up Connectivity and Flow Orbit the Giant hairball Select concepts and opportunities
Set-up Conversation and vocabularies
Get rid of Noise and Static
Agile project Management Ideation techniques
Measure PSC pattern using prede ned metrics
Frame the Project Idea Sur ng Context Panorama
Narratives / diaries / life stories
Set-up technological context Tomorow’s headlines Journey map
Dialog Participant observation
BrainStorm Moodboard
Service Diagram Surveys
GameStorming GameStorm Evidencing
Context Panorama Shadowing
Mindmapping Interaction table Cultural probes
PSC Mandala
Mockup Conceptual models
De ne Hunting GRound
Ethnomethology tools
Co-designing
De ne Scale Indexality state
De ne setting Group Sketching Storyboard
Re exivity state
De ne very few but strong rules A nity Diagrams Storytelling
Design games Accountable structure
Motivation matrix
Evidencing Service Blueprinting Meaning creation
Issue cards
Set-up Ontological Context Audits
Incremental Prototyping workspace “body language” audit
Set-up vorabularies Mental Models
before every meeting
Incremental reviews and feedback loops Usability testing
Engage all senses Exploratory Data Analysis
Knowledge Multidimensional visualization
Experience Prototype Historygrams
Demos Statistical Dashboards
PSC variables
PSC State Mandala to model
Coarse temporal Scale System study
Brownian movement (mechanism independent)
Meaning
Identity Identify Quasi causality Emergent business models
Beliefs
Identify Self simlarity Requirements for innovation
Connectivity ...
Mood Identify Self replication
... Identify Scale of emergence Mapping of self orgnaized
Identify bifurcations and tipping points. patterns to innovation outcomes
using machine learning algorithms