Ikm bn user-outreach_3_20180404

Interactive Knowledge Maps (IKM)
[new internet tool interfacing experts & citizens on topics
& options that are updated through both science & uses]
Idea already researched and tested. Platform to develop.
(details: in future slides) ↓
Applied to enact Brain Networking (BN)
[Romanian Experts in Diaspora want co-work via Internet]
Idea already researched & tested (details: in future slides)
↓
To create a web & local Business Nodes
[IKM-BN user points where all-fields experts & business
actors orient & choose; find/make good action options]
↓
To stimulate local talent; development
[in each Romanian (later CE, EU) town/village, economic
activities to start-grow via good professional networks]
CHRONIC PROBLEM:
a slow economic growth
in Central Europe & EU is
brewing a systemic crisis
… no, they didn’t.
(an Athenian passing by)
PROPOSED SOLUTION:
A web-based Science-Technology-Business action platform
with an international network of experts & business actors
Contact: ioan.ciumasu@gmail.com;
ioan.ciumasu@uvsq.fr
 photos: Suceava Seat Citadel, Romania (top), and
The Stone, Michigan State University, USA (bottom)
START CONCEPT - details
From here on: platform building-testing iteration cycles

Both scientific and societal knowledge (expertise) can be mapped; operated through a minimal common denominator,
i.e., map of topics of priority interests, completed with practical details; freely accessible online [Software as a Service]
Users navigate IKM for orientation; seeing combinations of relevant infos, experts & possibilities
1 (of 4) – Interactive Knowledge Maps
Contact:
Ioan M. Ciumasu
ioan.ciumasu@gmail.com;

In society: Despre brain networking. Interviu cu Dr.
Ioan M. Ciumașu. Institutul ProDiaspora Romana
(15 May 2014; text in Romanian language).
http://prodiasporaromana.org/wp-
content/uploads/2014/05/Interviu-cu-I.-Ciumasu-2014.05.25.pdf
In research (to date - 30.09.2017, cited 41 times):
Ciumasu, IM, 2010. Turning brain drain into brain
networking. Science & Public Policy 37(2):135-146
https://academic.oup.com/spp/article-abstract/37/2/135/1619256
Brain Drain at the origin of global expert networks
Romanian Science-Tech Diaspora wants to help out projects in Romania
as experts, via Internet  would-be expert networks liaised by culture
2 (of 4) – IKM applied: to enact Brain Networking (BN)

IKM-BN user hubs where experts, entrepreneurs and all business actors get orientation, options, partners and access to
technologies and services available on the market – i.e., presented as practical info active in IKM during user navigation
This strategy is modified from Ciumasu 2010 (references in the previous slide): 1. Extended from ‘science-science’ to ‘science-society’; 2. Built into IKM
SOCIAL UNIT SOCIAL FUNCTION Suggested mechanisms (for start)
Country / region CONTEXT / RULES • Public authorities promoting civic/private initiative & learning-by-doing
• Cultural associations and institutions to promote openness, dialogue
• Professional associations to promote high quality, profession values
COMMUNITY
(any town or village)
LOCAL STRATEGY
(if it exists; priorities & plans)
• Public consultations organized to discern local collective priorities
• Public/private projects for human, technic & economic development
BRAIN
NETWORKING
POINT
BRAIN
NETWORKING
ACTIVITY
• IKM-BN user points: any internet connection - individual (houses, offices,
etc.) or collective (professional clubs, laboratories, SMEs, schools, etc.)
• IKM-BN will start with a survey of user preferences; continue by building
the prototype - distributed to voluntary first users (website access; SaaS)
• User friendly; Internet access to IKM-BN will suffice for any beginner user
to learn quickly to navigate; feedbacks will be very welcome at all times.
DIASPORA
users
LOCAL
users
DIASPORA
interests
LOCAL
interests
• Users generating ideas, projects, publications, products, services, etc.
• Users developing research or/and business capacity and skills
• Users building teams, customers and supply chains
3 (of 4) – IKM-BN to create a web, local Business Nodes
IKM-BN = Interactive Knowledge Maps applied for Brain NetworkingUsers: experts or private citizens, anywhere, having any interest.
IKM-BN aims at helping ALL users advance their
personal and professional interests.

Business Space:
products/services
Personal life Space:
happiness & inquiriesOrientation & Meaning
Science Space:
research & publications
Technology Space:
methods & techniques
[obtained] [obtained]
[demanded] [demanded]
[puzzle solving
/ creativity]
solutions
not yet
known
solutions
known &
available
GENERAL LOGIC FRAMEWORK
Every work starts with a QUESTION.
It continues with steps, pathways &
cycles iterated as / often as needed.
Source: after: Ciumasu IM, 2018. Eco-Cities:
Scenarios for Innovation and Sustainability.
Book, Springer,
http://www.springer.com/us/book/978331914
7017
PRACTICAL DEFINITIONS:
DATA: measured or estimated value
(numbers) of a parameter of interest.
Proof of presence of a phenomenon.
In informatics: all signs encoding info
INFORMATION: the professional
interpretation of the data, e.g.,
whether a pollutant concentration is
above /under an admitted threshold.
KNOWLEDGE: the capacity to place
information into contexts in order to
extract meaning and action options.
In practice, it means: people
These three are often confused.
We can only grow Knowledge inside
minds, we cannot transmit it. What
we transmit is Information & Data.
“Acquiring Knowledge” happens via
either education-and-experience or
recruiting other people.
4 (of 4) – IKM-BN to stimulate local talent; development
TOPICS
maps
BUSINESS
maps
CITIZEN INTERESTS
maps
SCIENCE
maps
TECHNOLOGY
maps
STAKEHOLDERS
& ACTORS
DEVELOPMENT
ENABLERS
KNOWLEDGE
BROKERS
Types of tools 
Types of users 
Domain of SCIENCE Domain of REAL LIFE

Supplementary Work: details on sustainable communities
[ Interactive Knowledge Maps – applied for Brain Networking ]

Each topic or sub-topic* is understood as part of a holistic concept of sustainable management of cities & communities
* e.g., starting with water, energy, transport, landscape, security, population, buildings, climate, waste, health, leisure, food, etc. Model generalized from Eco-City Reference Model - ECRM (modified after: Ntanou K,
Koos-Morar T, Liamidi H, Dean J, Ciumasu IM, 2014. Is it possible to develop a model of sustainable urban water cycle? Talk at Deltas in Times of Climate Change II, Rotterdam, The Netherlands, 24-26 Sept. 2014)
INPUT
[resources]
OUTPUT
[waste]
CITY
LIVEABILITY
How are citizens involved
in the making of their city
City impact upon
natural systems
Source: after: Ciumasu IM, 2018. Eco-
Cities: Scenarios for Innovation and
Sustainability. Book, Springer
83319147017
Urban eco-cycle models
Sensor networks Participatory models
Decision-support systems
Optimization algorithmsModeling platforms
Urban infrastructure systems
Life Quality
Holistic
parameters
URBAN METABOLISM
[ inter-related fluxes of energy,
mater & information ]
Sustainable Community Reference Model – SCRM

Decision-making in cities / human communities: a DELPHI approach
A. FIRSTLY, YOU ADDRESS MULTI-DOMAINS
KNOWLEDGE COMPLEXITY: BY INCORPORATING
IT INTO A COLLECTIVE EXPERT DECISION
B. YOU FORMULATE THE ELECTED PRIORITY TOPICS AS
MANAGEMENT / LOGISTICS QUESTIONS TO BE ANSWERED
IN THE SIMPLEST WAY POSSIBLE: YES / NO
p 7
p 6
p 5
p 4
p 3
p 2
p 1
SELECTEDPRIORITIES
Ranking by voting
in expert group,
& followed by
selection of
priorities
*
Source: after: Ciumasu IM, 2018. Eco-Cities: Scenarios for Innovation and Sustainability. Book,
Springer, http://www.springer.com/us/book/9783319147017 ; Ciumasu IM, 2013. Dynamic decision
trees for building resilience into future eco-cities. Technological Forecasting & Social Change, 80(9):
1804-1814. http://www.sciencedirect.com/science/article/pii/S0040162512003253
DECISION
NODES
Decision question to address: 2
Yes
No
Yes
No
Yes
No
[ best hope ]
[ insufficient ]
[ status quo ]
C. Finally, this helps a lot:
find catchy [relevant names]
for each of these scenarios.
[ promising ]
* Longer lines signify heavier weights of debated priority topics, as
reflected in the number of votes by the end of expert deliberations.
In various projects, deliberations can be very fast or more elaborated.
Each scenario is the technical result of a series of Yes / No answers.
The No answer stops the series and settles it for a given scenario:
Status quo [No], Insufficient [Yes, No], Promising [Yes, Yes, No],
Best Hope [Yes, Yes, Yes]. Because we know the questions,
we already know what each pathway means in practice.
The entire exercise can be repeated when needed.

I.
FIRSTLY, WE TRANSLATE THE PHASE TRANSITION
PERSPECTIVE* into MAJOR THRESHOLDS to pass
II. POLICY QUESTIONS  FORMULATED AS PRIORITY
TOPICS FOR ACHIEVING SUSTAINABILITY; ANSWERABLE
Source: after: Ciumasu IM, 2018. Eco-Cities: Scenarios for Innovation and Sustainability.
Book, Springer, http://www.springer.com/us/book/9783319147017 ; modified after:
Ciumasu IM, 2013. Dynamic decision trees for building resilience into future eco-cities. Technological Forecasting
& Social Change, 80(9): 1804-1814. http://www.sciencedirect.com/science/article/pii/S0040162512003253 ; modified
after: Ntanou K, Koos-Morar T, Liamidi H, Dean J, Ciumasu IM, 2014. Is it possible to develop a model of sustainable urban
water cycle? Talk at Deltas in Times of Climate Change II, Rotterdam, 24-26 Sept. http://www.climatedeltaconference2014.org/
*S-CURVES ARE UNIVERSAL PATTERNS OF CHANGE.
They describe the process of transformation which takes place between two stable states
Priority 1
Priority 2
Priority 3
Note: The order of priorities is determined by the logic of the phase transition
between two stable states, the first unsustainable, the second sustainable
Each scenario is the technical result of a series of Yes / No answers.
The No answer stops the series and settles it for a given scenario:
Status quo [No], Insufficient [Yes, No], Promising [Yes, Yes, No],
Best Hope [Yes, Yes, Yes]. Because we know the questions,
we already know what each pathway means in practice.
The entire exercise can be repeated when needed.
III. ↑ Generic names of
scenarios for communities /
cities in transformation.
DECISION
NODES
Yes
No
Yes
No
Yes
No
City of Future
City of Past
Fatalistic City
City in
Transformation
2. The city passed
the innovability threshold?
1. The city started
pioneering projects?
3. The city passed
the final sustainability threshold?

A. FIRSTLY, the Urban Sustainability Nexus
[USN, a core of interdependent topics] to map &
rank priority topics for a given city ↓
B. POLICY QUESTIONS  FORMULATED AS PRIORITY
TOPICS FOR ACHIEVING SUSTAINABLE UWM, answerable
DECISION
NODES
Yes
No
Yes
No
Yes
No
scenarios for the responses
of a city to its crisis situation
[insert name ]
city
[ insert name ]
city
Hopeless
city
[ insert name ]
city
Each topic has three levels:
natural, social & economic.
Idem the entire city system.
Source: * after: Ciumasu IM, 2018. Eco-Cities: Scenarios for Innovation and Sustainability.
Book, Springer, http://www.springer.com/us/book/9783319147017 ;
* Ciumasu IM, 2013. Dynamic decision trees for building resilience into future eco-cities. Technological Forecasting
& Social Change, 80(9): 1804-1814. http://www.sciencedirect.com/science/article/pii/S0040162512003253 ;
* Ciumasu et al., 2012. Complex risks from old urban waste landfills: sustainability perspective from Iasi, Romania. Journal of
Hazardous, Toxic, and Radioactive Waste 16:158-168. http://ascelibrary.org/doi/abs/10.1061/(ASCE)HZ.2153-5515.0000090;
* after: Ntanou K, Koos-Morar T, Liamidi H, Dean J, Ciumasu IM, 2014. Is it possible to develop a model of sustainable urban
Urban strategies must be based on
negotiated common denominators.
Complexity is tractable by dialogue.
A strategy for Priority Issue 2 ?

A.
FIRSTLY, we use the Urban Sustainability Nexus*
to map & rank priority topics linked to climate↓
DECISION
NODES
2. City plan for curbing
greenhouse gas emissions?
1. City plan for adaptation
to climate changes?
3. City plan for strong mitigation
responses (comprehensive)?
Yes
No
Yes
No
Yes
No
of a city to climate changes.
Deep
sustainability
Adapt
to risk
Do
nothing
Efficient
Development
*Urban Sustainability Nexus (USN) is a detailed map of topics in
the transition to sustainable cities. It is also incorporated into
the Sustainable Community Reference Model (ECRM) & into
the Interactive Knowledge Maps (IKM) & its applications.

A.
to map & rank priority topics on urban waters↓
DECISION
NODES
2. A cross-sectoral & integrated
urban water policy
1. An urban metabolism-
-based water policy?
3. A long-term policy of innovation
for urban sustainability?
Yes
No
Yes
No
Yes
No
III. Generic scenario names
on the path to better Urban
Water Management (UWM).
Sustainable
UWM
Smart
UWM
Reactive
UWM
Holistic
UWM

I. FIRSTLY, WE USE THE SYSTEM PERSPECTIVE*
to define three NESTED SUSTAINABILITY FILTERS
II. POLICY QUESTIONS  FORMULATED AS PRIORITY
TOPICS FOR ACHIEVING SUSTAINABILITY; ANSWERABLE
Book, Springer, http://www.springer.com/us/book/9783319147017;
Ciumasu et al., 2012. Complex risks from old urban waste landfills: sustainability perspective from Iasi, Romania. Journal of
Hazardous, Toxic, and Radioactive Waste 16:158-168. http://ascelibrary.org/doi/abs/10.1061/(ASCE)HZ.2153-5515.0000090
* Any economic system is a sub-system of a social system which is itself a sub-system of
a natural system. Nature can exist without humans, humans cannot exist without nature.
An economy is a phenomenon inside a social system >> and cannot exist outside society.
Failing at least one (any) of the three filters makes a community / project unsustainable.
SOCIAL
Sustainability
filter
ECONOMIC
Sustainability
filter
ECOLOGIC
Sustainability
filter
A
B C D
E
scenarios for communities /
cities in transformation.
The priority order: derived from the nested inclusion relation logic.
When the Ecologic SF is failed, then there is no point of continuing
(except for intellectual speculation); if it is failed, the others will
fail too; if it is ok but then the social SF fails, we already know
that the situation cannot be sustainable.
DECISION
NODES
Yes
No
Yes
No
Yes
No
City of Future
Primal Hamlet
Poor Town
Fatalistic Clan
2. We passed the social SF ?
1. We passed the ecologic SF ?
1. We passed the economic SF ?

A.
to map & rank priority topics for a chosen city ↓
DECISION
NODES
Yes
No
Yes
No
Yes
No
of a city to its crisis situation
Attractive
city
Dreaming
city
Hopeless
city
Productive
city
Book, Springer, http://www.springer.com/us/book/9783319147017; modified after:
Modified after the applied course works with graduate students at the University of Versailles (UVSQ), France, 2016-2017
Explicit sets (lists) of topics can be used as start reference
for a community of citizens or/& experts to build a basis
of common denominators & work out the priorities for
subsequent actions.
Priorities can be ranked by voting; and combined with debate scenarios in 2x2 matrix cells,
as illustrated here with the whiteboard and MS Excel sheet drafts (from a French context).
2. City strategy for infrastructure ?
1. City strategy for education ?
3. City strategy for better housing ?

Supplementary Work: BIG PICTURE details on IKM-BN

ECOLOGIC
systems
ECONOMIC
systems
SOCIAL
systems
VALUE
systems
KNOWLEDGE
systems
TECHNOLOGY
systems
CHANGE BY CYCLES
[it starts with culture, it growths by
learning; peaks by techno-economic
progress, i.e., the basis for wellbeing]
CULTURE
systems
TECHNO-BIOSPHERE
systems
SCIENCE
systems
MORAL
systems
TECHNO-SOCIAL
systems
LEARNING
systems
POLITICAL
systems
TECHNO-ECONOMIC
systems
BUSINESS
systems
Local
Source: after: Ciumasu IM, 2018. Eco-Cities: Scenarios
for Innovation and Sustainability. Book, Springer,
B
A
A – short cycle of change generated by science
B – long cycle of change generated by science

Book, Springer, http://www.springer.com/us/book/9783319147017General SCRUM cycles for Science–Business
Objectives’ Backlog
INTENDED RESULTS
• List of (sub-)deliverables
Sprint Backlog
PRIORITY WORKS
• Lists of priorities
Delphi methods* for agile trans-disciplinary work
starting with agreements on values & knowledge
Usable result
RESEARCH
PRODUCT
• Item 1
• Item 2
• Item n
24h
5 days
40 days
SPRINT
RESEARCH ROUND
• Desk/lab/field work
• Surveys, interviews
• Special workshops
• Literature reviews
*e.g., Ciumasu IM, 2013. Dynamic decision trees for building resilience into future
eco-cities. Technological Forecasting and Social Change, 80(9): 1804-1814.
http://www.sciencedirect.com/science/article/pii/S0040162512003253

SENSORS
(conditions)
PROGRAM
(algorithms)
ACTUATORS
(triggers)
RESULT
(effects)
BEHAVIOR
(actions)
Role
1.1
Role
1.5
Role
1.3
Role
1.7 CO-EVOLUTION OF SITUATIONS & ROLES IN GROUPS
 Coordinated behavior within a group: a ring of roles
 Complementary functions and structures in groups
 Collaborative maximization of energy dissipation
SITUATION OF A GROUP
SITUATION OF AN AGENT
Book, Springer, http://www.springer.com/us/book/9783319147017
Agents develop individual identities out of distinct roles:
in (a holarchy of) groups through in-/cross-group games

Normative values
Innovation culture
Short-term
public / people
priorities
Long-term
sustainability
priorities
Economic & All
Interests
Opportunity & Risk
Management
Capacity &
Resources
Technology
Performance
Source: after: Ciumasu IM, 2018. Eco-Cities: Scenarios for
Innovation and Sustainability. Book, Springer,
SPACE OF
OPTIONS

Technological changes (“revolutions”): Why big companies fail?
PRODUCT
PERFORMANCE
TIME
Incumbent market leader – business relying on ‘Sustaining technologies’: improved product performance, but costlier
Entrant market underdog – business relying on ‘Disruptive technologies’: lower (start) product performance, but cheaper
Source: after: Ciumasu IM, 2018. Eco-Cities: Scenarios for
Innovation and Sustainability. Book, Springer,
Adapted after: Christensen C, 2011 (1997). The
Innovator’s Dilemma. Harper’s Business, New York.
New market = the gap between
a product’s max. price acceptable
and its min. performance (for the
‘job to be done’ of C. Christensen).
Firms must keep doing what they
do best … but only up to a point:
the upper market limit. Or they
get disrupted.

CONCURRENT
 Agile (continuous improvement)
 For complex products, with many variables
 Non-linear, co-evolutionary dynamics, iterative cycles
 Dependent on efficient communication & operations
Approaches to solution design
Requirements
Design
Implementation
Verification
Maintenance
SEQUENTIAL
 Traditional (one-off)
 For rather simple products
 Linear, unidirectional “waterfall” dynamics
 Dependent on fixed requirements & stable context
INITIAL
PLANNING Requirements Design
TestingEvaluation
DEPLOYMENT

Accuracy Low Low = The closeness of a measurement
to the actual (true) value
Precision Poor Good = The closeness of agreement
among a set of measurements
Trueness Good Poor = The closeness of the mean of a set of
measurements to the actual (true) value
What is the quality of your DATA?
( ISO 5725 )
ABOUT RIGHT OR
PRECISELY WRONG?
YOUR
MEASUREMENTS
probability
density
mean
value
TRUENESS
PRECISION
values
ACCURACY
actual
value

From lab to market
PUBLIC
funding
PRIVATE
funding
COMPANIES
UNIVERSITIES
University spin-offs
Science-business
joint projects
Institutes,
PPPs, etc.
Other startups
Scientific success Commercial success
Science-business
joint projects
VALLEY OF
DEATH
*PPP: Public-Private Partnerships
RDI: Research, Development & Innovation
Research
laboratories
Product
development
Scientificpublications
Commercialoffers

Supplementary Work:
details on Human Communities & Projects & IKM-BN

HUMAN COMMUNITIES
A CITY HAS A DUAL CHARACTER:
 It is embedded in a local context
 It is connected to global networks
A CITY IS THE BEST TRADE-OFF BETWEEN SCALES:
 Large enough to account for realistic system complexity
 Small enough to allow feasible project management
Thus a city (any community) can serve as platform and unit of test
and governance in the transition to sustainable development.
Definitions of a city – PERSPECTIVES:
 Physics: A complex material and informational system
 Engineering: Built environment and infrastructure
 Ecology: A colony of the species Homo sapiens
 Sociology: A social construct, a place of interaction
 Politics: Leadership and community decision making
 Economics: A location of production and consumption
CITIES ARE
civilization hubs; engines
of economic development
The majority of the world
population lives in cities.
Therefore, the transition
to sustainability will start
with cities and citizens.
It has already started.

ECRM
NEW NEEDS
[users’ surveys, expert
analyses, prototypes]
NEW IDEAS
[ideation workshops,
competitions, conferences]
NEW / TEST PROJECTS
[practice & contexts]
COMPUTER MODELING
[methods, tools & feed-ins]
UP-TO-DATE KNOWLEDGE
[environment, society, economy,
health, engineering, models]
NEW SENSORS, DATA & TESTS
[analytical matrices: water, soil, air,
infrastructure, food, human body]
• New models
• Holistic perspective
• Integration methods
• Systemic thinking
• Expert networks
• Open innovation
Creating options for practice = developing KNOWLEDGE INTEGRATION PLATFORMS
OPTIONS /
SCENARIOS
KNOWLEDGE
INTEGRATION
APPROACHES
Source: after: Ciumasu IM, 2018. Eco-Cities: Scenarios
for Innovation and Sustainability. Book, Springer,
Contact: Ioan M. Ciumasu, Interactive Knowledge Maps (IKM),
ioan.ciumasu@gmail.com; ioan.ciumasu@uvsq.fr

Communities are in a 'nested inclusion relation'
between economic, social and ecologic systems
 A SYSTEMIC PERSPECTIVE & ANALYSIS
Ciumasu IM et al. 2012. Complex risks from old urban waste landfills: sustainability
perspective from Iasi, Romania. Journal of Hazardous, Toxic & Radioactive Waste, 16(2):
158-168, http://ascelibrary.org/doi/abs/10.1061/(ASCE)HZ.2153-5515.0000090
CITY
There is a chronic conflict of priorities that
generates a massive loss of opportunities:
• Progress is blocked in opposing priorities
between sustainability (science) vs. the public
• Citizens are lost in a deluge of information
• Experts are isolated by narrow specializations
SOCIAL
Sustainability
filter
ECONOMIC
Sustainability
filter
ECOLOGIC
Sustainability
filter
A
B C D
E
Urban / business project assessment scenarios
based on sustainability filters derived from the
nested inclusion relation between systems
LEGEND: A, B: some desirable, sustainable situations.
C, D, E: usual situations: unsustainable, because
at least one filter is failed

KNOWLEDGE – ACTION MODELS: reconciling priorities in human communities
CONFLICT RESOLUTION – principles:
• Short-term economic incentives do determine
the human priorities and set societal agendas
• Longer-term prosperity does depend on those
solutions which increase system sustainability
• Holistic approaches enable new action models:
• Must start with defining problems based on
the order of priorities expressed by citizens.
• Continue with generating potential solutions
(i.e. options) which all (without exception) take
into account the systemic sustainability order
of priorities (i.e., necessities for viability as
defined by experts)
> | <
> | <
> | <
1.
Short-term issues / economy
2.
Medium-term issues / society
3.
Long-term issues / ecology
3.
Economic sustainability filter
2.
Social sustainability filter
1.
Ecologic sustainability filter
ORDER OF
PRIORITIES
ORDER OF
PRIORITIES
creation of solutions
definition of problems
SOCIETY
SCIENCESource: after: Ciumasu IM, 2018. Eco-Cities: Scenarios for Innovation and Sustainability.
Ciumasu IM et al. 2012. Complex risks from old urban waste landfills: sustainability
perspective from Iasi, Romania. Journal of Hazardous, Toxic & Radioactive Waste, 16(2):
158-168, http://ascelibrary.org/doi/abs/10.1061/(ASCE)HZ.2153-5515.0000090
Key conflicts of priorities (Citizens vs. Experts) + intrinsic complexities of natural, social & economic systems =
Human communities are typically unsustainable

Supplementary Work: details on Projects & IKM-BN

S-CURVES ARE
UNIVERSAL PATTERNS
OF CHANGE
They describe the process
of transformation which
takes place between
two stable states.
GOAL:
SUSTAINABLE
COMMUNITIES
GENERAL EVOLUTION OF HUMAN COMMUNITIES TOWARDS SUSTAINABILITY
Globally,
we are about
HERE
The most advanced
“eco-cities” are about
HERE
Most cities
are about
HERE
WE NEED TOOLS TO PASS
THIS INFLECTION POINT
* ** *
*
*?
*** *
**
*?
** * *
*?
Phase transitions
SOURCE: After: Ciumasu IM, 2018. Eco-Cities:
Scenarios for Innovation and Sustainability. Book, Springer,

Organization of trans-disciplinary work: COORDINATION
[INFORMATION EXCHANGE & PROCESSING which results in generating COMMON DENOMINATORS]
** As spelled down in projects as work objectives and tasks
*** In the largest sense, including all applied knowledge (“science of craft”): techniques, skills, methods and (all non-automated and automated)
processes that are used in the accomplishment of the goals. It comprises both hardware (machines) & software (executable protocols).
* Adapted after: Castle D, Culver K, 2013. Getting to ‘No’: The method of contested exchange. Science & Public Policy 40(1): 34-42.
https://academic.oup.com/spp/article-abstract/40/1/34/1648344/Getting-to-No-The-method-of-contested-exchange
AGREEMENT ON TECHNOLOGY ***
not agreed AGREED
AGREEMENT
ON GOALS **
not agreed
(4.1) Unprepared endeavor (where
endeavors = problem solving attempts)
(4.3) Partly prepared endeavor,
with disagreements about goals
AGREED
(4.2) Partly prepared endeavor,
with disagreements about technology (4.4) Well-coordinated endeavor
AGREEMENT ON KNOWLEDGE
not agreed AGREED
AGREEMENT
ON VALUES
not agreed (1) Unstructured problems (3) Partly structured problems,
with disagreements about values
AGREED
(2) Partly structured problems,
with disagreements about knowledge (4) Well-structured problems
Primary degrees of
problem structuredness in
pioneering, trans-disciplinary projects *
Primary degrees of
coordination of endeavors
to solve well-structured problems

*** As described in the innovability threshold; **** As described in the sustainability threshold
***** Project portfolio selection is based on non-violation of constraints, then on the order of priorities identified in the program management process
(for a start reference, see eg, Hassanzadeh F, Nemati H, Sun M, 2014. Robust optimization for interactive multiobjective programming with imprecise information applied to R&D project portfolio selection. European Journal of Operational Research, 238(1): 41-53)
* Understood as agent within the DIKAR_process framework
** Cluster or Network; can be understood as either set of agents (with common goals) and/or unitary collective agent
ADEQUACY TO SUSTAINABILITY ****
not adequate ADEQUATE
ADEQUACY
TO CHANGE ***
not adequate
(4.1) Inadequate project (or series of
projects, i.e., a program *****)
(4.3) Partly adequate project,
with inadequacies to the change
ADEQUATE
(4.2) Partly adequate project,
with inadequacies to sustainability (4.4) Adequate project
SUITABILITY TO TEAM **
not suitable ADEQUATE
SUITABILITY
TO INDIVIDUAL *
not suitable (1) Unfeasible project (3) Partly suitable project,
with unsuitabilities for the individual(s)
ADEQUATE
(2) Partly suitable project,
with unsuitabilities for the group (4) Feasible project
Primary degrees of feasibility in
pioneering, trans-disciplinary projects
Primary degrees of adequacy in
pioneering, trans-disciplinary projects
Organization of trans-disciplinary work: ADEQUACY
[INFORMATION EXCHANGE & PROCESSING which results in generating COMMON DENOMINATORS]

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