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Systems mapping for international benchmarking of UK science and innovation . Ian M Mitchell FORS March 2015

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Systems mapping for

international benchmarking of

UK science and innovation .

Ian M Mitchell FORS

March 2015

Agenda

• Systems thinking in BIS

– Catalyst for policy

• Science and Innovation

Question

• Systems approach

• What we did

• Outputs

• Discussion

2

Outline

• O.R. structures problems

• Systems Thinking catalyses policy definition

• Systems Thinking with Causal Loop Diagrams

builds frameworks for complicated areas by

creating maps from stakeholder views.

• Maps summarise areas in terms acceptable to

policy leads and stakeholders.

• Success depends on a Socio-technical process

rather than an analytical exercise.

• Early is better: in the ROAMEF cycle, but also to

structure studies

3

Roundtable of ROAMEF

Z

Rationale

Objectives

Appraisal

Monitoring

Evaluation

Feedback

5

Spectrum of rigour and complexity for models of a system, components and interactions

Low High

Components and

Boundaries

•Things

•Information

•Groups

Influences

•Flows

•Quantity

•Time

•Positive

•Negative

Patterns

•Feedback loops

•Reinforcing

•Balancing

•Pinch-points

•Levers

Systemigrams

Complex layered views

Quantitative models

Software: eg Vensim

Informal to formal methods

Lists - Sketches - Mind maps

Causal Loop Diagramming

Post it - paper - pencil – pen

Software: eg Vensim

A

B

E

C

D

F

-

+

+

+

+ +

+ A

B

E

C

F

D hazard management

detection

Warning And

Reporting

protection

medical

countermeasures

PRETREATMENTS

POST

TREATMENTS

casualtiescaused by nbc

attack

COLLECTIVE

PROTECTION

INDIVIDUAL

PROTECTION

DECONTAMINATION

NBC HARDENING

in protection

effectiveness ofprotection

reduced tempo due to

degradation

casualties caused by

protection

rate of nbc casualties

loss of tempo due to

hazard management

total effect on tempo

reduced combat

effectiveness

attack type

effectiveness ofmedical

countermeasures

able to detect

casualties from direct

attack

Persistent Area

Contamination

casualties from persistent

contamination

nbc threat

rate of nbc useDETERRENCE

Outcome

POINT

DETECTION

MONITORING

proportion suffering

degradation effects

<time of day>

Enemy

Manoeuvre

Capabil ity

MEDICAL

SURVEILLANCE

NBC RECCE AND

SURVEY

Own

Manoeuvre

Capabil ity

GENERIC

THERAPY

WATER TEST

effectiveness of hazard

management

confirmationof use

attack identified

PROCESS

disseminate

ENEMYDEGRADATION

EFFECT

<Enemy

Manoeuvre

Capabil ity>

OPPORTUNITIES

TO USE NBC

ENEMY NBC

CAPABILITY

HEAT STRAIN

CASUALTY

TABLE

credibi li ty ofdeterrent

AGENT

PERSISTENT

HAZARD

AGENT

PERSISTENCE

TIME

ABILITY TO DETECT

PROPORTION

IN COLPRO

TIME FOR DECON

rate own capabil i ty

reduces enemy

rate enemycapabil ity

reduces own

INITIAL ENEMY

CAPABILITY

ENEMY COMBAT

EFFECTIVENESS

OWN COMBAT

EFFECTIVENESSINITIAL OWN

CAPABILITY

CASUALTIES PER

DIRECT ATTACK

AGENT

DOWNWIND

HAZARD

MANOEUVRE

DEGRADATION

EFFECT

EFFECT OF HEAT STRESS ON TEMPO

CAPABILITY USED

TO LAUNCH ATTACK

Nbc Attacks Used

Total

Manoeuvre

Casualties

<rate of

arrival in

theatre>

<conflict begins>

information

decay time

Decision To

Use Nbc PERCEIVED UTILITY

OF NBC

<currentenemy force

ratio>

NBC ATTACKS

AVAILABLE

CASUALTIES PERPERSISTENTENCOUNTER

PERSISTENTENCOUNTER

RATE

casualties from

downwind hazards

CASUALTIES PERDOWNWINDENCOUNTER

FORWARDENCOUNTER

RATE

potential encounters

with persistent

NUMBER OF UNITSencounters with

downwind hazards

action

collect

C3IDELAY

INFORMATION

PER ENCOUNTER

detection

made

ANY

DETECTION

INFORMATION

NEEDED

GENERIC

IDENTIFICATION

agent identi fied

SPECIFIC

IDENTIFICATION

specific therapy given

<mean persistent

encounter rate>

<MEDICAL

SURVEILLANCE>

ENEMY RELEASE

OF AGENT

generic

therapy given

AREA

DETECTION

DECON

FREQUENCY

direct

contamination

WARNING

EFFECTIVENESS

ENEMY STRIKE

NBC CAPABILITY<Enemy Strike

Capability>

<own strike

effects on

manoeuvre>

<time of day>

<time in ipe

vs agent>

proportion of

time in ipe

<time in ipe due to

conventional>

Rate Persistent

Areas Lost

<personnel

multiplier>

CONFIRMATION

SPECIFIC

THERAPY

<detection

made>

<detection

made>

<AGENT

PERSISTENCE TIME>

<TIME OFDOWNWIND

HAZARD>

COLLECTION

EFFECTIVENESS

<proportionvs

manoeuvre>

PRETREATMENT

TAKE UP

PERSONNEL

LOSS RATE

<Personnel In

Theatre>

PROPORTION

WORKING AT

MAX RATE

<enemy

surrender>

<effectiveness of

locs>

<conflict

begins>

Downwind Hazards

In Forward Area

<rate forward

hazards disperse><rate forward

hazards move on>

<total

hazards>

information from

recce and survey

INFORMATION PER

RECCE AND SURVEY

<rate of nbc

use vs locs>

<rate of nbc

use vs strike>

<rate of nbc use>

<information from

recce and survey>

<total encounter

rate>

rate persistent

hazard laid

<AGENTFALLOUTHAZARD>

WARNING

FACTOR

<rate of nbc

use vs locs>

System Models A regularly interacting or interdependent group of items forming a unified whole

Workshop Brief

Activity 1 Introduction Background and Brief overview of the method

Activity 2 Agree broad areas Consider and agree broad areas of influence that should be covered by the map,

Activity 3 Generate Variables Generate key variables that reflect the interest of the client

Activity 4

Identify Causes, Effects, Feedbacks and Data Map how each variable affects the variable of interest and other variables in the diagram. Identify additional variables and how they impact on the system Consider the data available on these

Activity 5 Wash Up Review workshop output

SAI Question

• What does international comparative evidence tell

us about the priority actions for the UK’s Science

and Innovation System and its contribution to the

economy, if we are to maintain a global leadership

position in this domain?

Components 8

Seed Sequence

• From Science and Innovation to a more vibrant

economy in 10 years time:

– Developing people, firms and ideas from initial

discovery or invention to application in

commercially merchantable goods and services

Ideas

Discoveries

Ideas Goods

Goods

Services

Example - Bullpup

Ideas

Discoveries

Ideas

?

Goods

Goods

Services

1842 – Brown Bess 1864– Prof Potter 1989-SA-80 Ensign

Workshop Approach

• The map grew through three workshops with

participants from policy areas in Higher Education,

Further Education and Research

• Large group – small group then individual by

phone

11

Workshop 1

Workshop 2

• Research area

• Two variables from Workshop 1 as seeds and

connectors

13

Single view

Needs

Business

Needs

National

Security Needs Health

NeedsGovernmentIncentives egCyber Sy,Longitude

Challenges

"Sparks" -

Innovation

ideas

Innovation

Attempts

Connections

Complacency

-

Buying In

"Upstream"

Number ofStudents in

qualityeducation

++

+

+

+ +

+

+InnovationSuccesses

Innovation

failures

Severity ofImpact of

failure

Regulatory

Barriers -Risk

averse prohibition

Tempo of

Innovation

Monetarycost of

Innovation

Numbers ofBottom ofPyramid

Innovators

Uncertainty

of Policy

Independence

from Politics

Number ofSpin Offs

(academicsresearch)

Number of

Start Ups

Infrastructure for

Innovation -

Technical

University

Autonomy

Stock of

knowledge

+

AcceptablePaybackPeriod

Motivation

Regulation ofUniversitysystems

"Governance"

per OECD

Standards

Metrology

Conferences

+

-

Number ofcurious

academics

Number ofpersistantpeople

Relativeavailabilty of

researchfunding

Incentives:

Tax credits

Distractions eg

Publications for

academic

assessments

Numbers of

Inspirational

Innovators

(Edisons)

Clusters ofSMEs andUniversities

Anglophones: number of

English speakers

Finance for

innovation

Numbers ofinterestedbusinesspeople

Technology:How to make

this work

+

-

Managementskills in

application

Degree ofCultural risk

aversion

-

-

+

+

Acceptance offailure as a

Badge of Honor

Number of

Curious

People

Mobility of

People - eg

career

structures

Knowledgeof how

people willreact to idea

Openness to

New ideas

Confidence

of Investors

Viable

Business

Plans

Number of moves to

Other OccupationsOGDResearch

Funds

ResearchCouncil

InstitutionResearch

funds

+

Population of

Innovators

+

-

Services

sold

Goods

sold

Benefits to Society

++

+

+

-

-

+

+

Rewards

++

+

Fitness ofIntellectual

Proprty rightprotection

Funding for

Undergraduates

Funding for

MSc

Funding for

PhD

Numbers of

UK students

Number ofOverseasStudents

Number ofScientists

andEngineers

Size of UK

Market

Size ofEuropeanMarketsavailable

Leakage

outside UK of

exploitation

(eg Skylon)

Number offacilities to

"mix" eg MIT

+

+

+

+

+

+

+

-

+

++

-

+

++

++

+

-

+

-

-

+

Government

Revenue

+++

+

+

++

+

+

Prestige of

area +

++

-

+

ExcellentResearch

conducted

+

+

+

Partnerships

International

Investment

Access to

Researchers of

choice

Business - UserUniversity

interactions

Extent ofdiffusion ofknowledge

Publications

of Research

Intellectual

Property

Solutions to

National

challenges

+

New

Technologies

designed

Quality andquantity ofResesearchtechnology

facilities

Discoveries

made

+

+

+

+ +

+

+

+ +

+

Degree of

excellence of

research

+

+

TrainedSkilled

Individuals

AbsorbativeCapacity for

Researchelsewhere

Quality ofresearch

environment

+

+

+

+

+

+

+

+

++

+

+

+

+

+

+

+

+

+

+

-

+

+

-

Valley of death

+

HE Establis

hments

FE Establish

ments

Size of local

economies

Apprentices

hips

ERDFClean money

Hubs eg

Shoreditch

Techniums

Science

Cities

Licences

software

licences -

otherIP based

companies

Graduate

firms

Industrial

investment CPD

participants

Innovative

Companies

Overseas

alumni

UK Trade

Trade

network

+

+

Funds for

HE

+

+

+

+

+

+

IDEAS

MONEY

PEOPLE

FIRMS

COMMERCE

+

CULTURE

Profile of

Area

+

Coverage of

Area

+

+

Mk 6A Summary

Needs

Sparks

Innovation

ideas

Innovation

Outputs

Innovation

Successes

Goods and

Services Sold

Rewards

Confidence

of Investors

Innovation

Resources

+

+

+

++

+

+

Connections

+

<Caution>

-"Valley of

Death"

Commerce

InnovationPipeline

Knowledge assets

Talent

Feedback

<Friction>

-

Structures andIncentives

++

+

+

+

+

Money

+

+

Mk 6A – Cycles

Needs

Challenges

Sparks

Innovation

ideas

Innovation

Outputs

Innovation

Successes

Goods Sold

Services

Sold

Rewards

Coverage

Profile

Confidence

of Investors

Innovation

Resources

+

+

++

+

+

+

+

+

+

+

+

Connections

+

<Number of Inspirational

innovators (Edisons)>

+<Population of

innovators> +

<P7 : Absorptive

Capacity>

+<Viable Business

Plans>

+<Extent of diffusion of

Knowledge>

+

<Demand>

+ +

<Caution>

- <Leakage outside UK of

exploitation (eg Skylon)>

-

<Knowledge of how

technology works>

+"Valley of

Death"

Commerce

InnovationPipeline

KnowledgeAssets

Talent

Feedback

<National Security

Needs>+

<Health Needs>

+

<Friction>

-

Structures andIncentives

<Finance for

innovation>

+

O2: Sales of

new to market

and new to firm

innovations

Talent

Number of

Moves to

Other

Occupations

Distractions eg

Publications

for academic

assessments

CPD ParticipantsTrained

Skilled

Individuals

Population of

innovators

Mobility ofPeople eg

careerstructures

Number of

Curious

People

Number of

Scientists and

engineers

Number ofCurious

academics

Number ofUK

students

Number ofOverseasstudents

Number of

apprentices

Number of

Inspirational

innovators (Edisons)

Number of

persistant

people

++

+

++

+

--

Number ofStudents in

QualityEducation

+

+ Number ofBottom ofPyramid

Innovators

++

+

+

Access to

Researchers

of Choice

+Partnerships

+

Overseas

alumni

+

<Funding for

Undegraduates>

P1: Educational

Attainment

P2: % of totalfirst-stage

graduates withscience andengineering

degrees

P3:Researchersheadcount

per thousandemployed

P4: Newdoctorate

graduates as a% of populationin reference age

cohort

P5: Netflow

of

internaltional

Students P8:Numeracy

andLiteracy

level

E3: Skills

intensity of

manufacturing/

services

O1: Labour

Productivity

Structures & Incentives

S3: State of

Clusters of

SMEs and

Universities

Number of

facilities to

"mix" eg MIT

Standards

Metrology

Anglophones-

numbers of

english

speakers

IP Based

companies

ViableBusiness

Plans

P7 :

Absorptive

Capacity

+

+

+

+

+

Innovative

Companies

AcademicSpin offs(academicresearch)

Hubs eg

Shoreditch

+

E5: Start uprates per

100kpopulation=Number ofStart Ups

+

+

+

Technicums

+

Graduate

Firms+

+

Conferences+

<New Technologies

designed>

+HE

EstablishmentsFE

Establishments

Science

Cities

S2: FirmsCollaboratingon innovation= Business

UserUniversity

Interactions

+

+

Infrastructure

for Innovation

- Technology

+ +

Numbers of

Interested

Business People

+ Management

Skills in

Application

+

+

P6:management

andleadership

skills

O6: SMESintroducingproduct orprocess

innovations

O7: SMEsintroducing

marketing ororganisation

alinnovations

Knowledge Assets

Excellent

Research

Conducted

Degree of

excellence of

research

K3: Quality

and quantity of

Research

Technology

facilities

Discoveries

Made

Stock of

Knowledge

Intellectual

Property

Licenses -

Other

Licences -

software

+

+

Extent ofdiffusion ofKnowledge

Research

Publications

+

+

+

+

New

Technologies

designed

+

+ +

Absorptive

capacity for

Research

elsewhere

+

Quality of

Research

Environment +

+

<Access to Researchers

of Choice>

+

<University

Autonomy>

+

Knowledgeof how

technologyworks+

<Innovation

Successes>

+ <Innovation

Failures>+

<Relative availability of

Research funds>

+

K1: Shareof the

world'smost cited

publications

K2:Co-authorship

and co-inventionas a % ofscientific

publications andPCT patentapplications

K4:Patents per

millionpopulation

S1:Attractiveness

to scientistsand

researchers

O4: Firmshaving

introduced anew tomarket

innovattion

Money

Finance for

innovation

Clean

Money

AcceptablePaybackperiod

+ +

Investor

Confidence

+

Funding for

PhD

Funding for

MSc

Funding for

Undegraduates

Government

Revenues +

+

+

Research council

Institution

Research Funds

+

OGD

Research

Funds

Relative

availability of

Research funds

Incentives

Tax Credits

-

+

Industrial

Investment

+

ERDF

International

investment+

+

+

Size of UK

Market

Size of

European

Market

UK trade

Trade

network

+

+

Demand

++

<Overseas

alumni>

+

Local

economies

+

<Science Cities>

+

State of

economy+ +

+

M1: R&Dfundingfrom

abroad as% of GERD

M2: Extentto which FDIbrings newtechnology

into thecountry

M3:

BERD

intensity

M4:Percentage

of GERD

financed by

Goverrnment

M5: Venture

Capital as %

of GDP

M6: Abilityto finance

through localequity

markets

M8: NonR& D

innovationexpenditureas % of totalexpenditure

E2: Intensity

of

Competition

E4:Quality ofdemand

conditionsO3:

Knowledgeintensiveservicesexports

O5:

Technology

balance of

payments

Government

Government

Incentives eg

Longitude

Cyber Sy

Uncertainty

of Policy

-

Regulatory

Barriers - Risk

averse ProhibitionNational

Security

Needs

Fitness of

Intellectual

Property

ProtectionHealth

Needs

Complacency

of firms

Independence

from politics

-

"Rug-pulling"

policy changes

on funding

+

Administrative

Burden+

Political

stability

-

S5:

Government

Procurement of

technology

S4:Intellectualproperty

rightsprotection

E1: OverallAssessment

of the ease ofdoing

business

Challenges

Leakage outside UK

of exploitation (eg

Skylon)

Degree ofCultural

aversion torisk

Innovation

Failures

Severity and

Impact of

failures

Acceptance of

failure as a

badge of honor

-

-

+

+

Caution

+

<Uncertainty of

Policy>+

Fear of loss

of reward

+

<Fitness of Intellectual

Property Protection>

-

Friction

<Administrative

Burden>

+

Needs

Business

Needs

National

Security Needs Health

NeedsGovernmentIncentives eg

Cyber Sy,Longitude

Challenges

"Sparks" -

Innovation

ideas

Innovation

Attempts

Connections

Complacency

-

Buying In

"Upstream"

Number ofStudents in

qualityeducation

++

+

+

+ +

+

+InnovationSuccesses

Innovation

failures

Severity ofImpact of

failureRegulatory

Barriers -Risk

averse prohibition

Tempo of

Innovation

Monetarycost of

Innovation

Numbers ofBottom ofPyramid

Innovators

Uncertainty

of Policy

Independence

from Politics

Number ofSpin Offs

(academicsresearch)

Number of

Start Ups

Infrastructure for

Innovation -

Technical

University

Autonomy

Stock of

knowledge

+

AcceptablePaybackPeriod

Motivation

Regulation ofUniversitysystems

"Governance"

per OECD

Standards

Metrology

Conferences

+

-

Number ofcurious

academics

Number ofpersistant

people

Relativeavailabilty of

researchfunding

Incentives:

Tax credits

Distractions eg

Publications for

academic

assessments

Numbers of

Inspirational

Innovators

(Edisons)

Clusters ofSMEs andUniversities

Anglophones: number of

English speakers

Finance for

innovation

Numbers ofinterestedbusinesspeople

Technology:How to make

this work

+

-

Managementskills in

application

Degree ofCultural risk

aversion

-

-

+

+

Acceptance offailure as a

Badge of Honor

Number of

Curious

People

Mobility of

People - eg

career

structures

Knowledgeof how

people willreact to idea

Openness to

New ideas

Confidence

of Investors

Viable

Business

Plans

Number of moves to

Other Occupations

OGDResearch

Funds

ResearchCouncil

InstitutionResearch

funds

+

Population of

Innovators

+

-

Services

sold

Goods

sold

++

+

+

-

-

+

+

Rewards

++

+

Fitness ofIntellectual

Proprty rightprotection

Funding for

Undergraduates

Funding for

MSc

Funding for

PhD

Numbers of

UK students

Number ofOverseasStudents

Number ofScientists

andEngineers

Size of UK

Market

Size ofEuropeanMarketsavailable

Leakage

outside UK of

exploitation

(eg Skylon)

Number offacilities to

"mix" eg MIT

+

+

+

+

+

+

+

-

+

++

-

+

++

++

+

-

+

-

-

+

Government

Revenue

++

+

+

+

++

+

+

Prestige of

area+

++

-

+

ExcellentResearch

conducted

+

+

+

Partnerships

International

Investment

Access to

Researchers of

choice

Business - UserUniversity

interactions

Extent ofdiffusion ofknowledge

Publications

of Research

Intellectual

Property

Solutions to

National

challenges

+

New

Technologies

designed

Quality andquantity ofResesearchtechnology

facilities

Discoveries

made

+

+

+

+ +

+

++

+

+

Degree of

excellence of

research

+

+

TrainedSkilled

Individuals

AbsorbativeCapacity for

Researchelsewhere

Quality ofresearch

environment

+

+

+

+

+

+

+

+

++

+

+

+

+

+

+

+

+

+

+

-

+

+

-

Valley of death

+

HE Establis

hments

FE Establish

ments

Size of local

economies

Apprentices

hips

ERDFClean money

Hubs eg

Shoreditch

Techniums

Science

Cities

Licences

software

licences -

otherIP based

companies

Graduate

firms

Industrial

investmentCPD

participants

Innovative

Companies

Overseas

alumni

UK Trade

Trade

network

+

+

Funds for

HE

+

+

+

+

+

+

KNOWLEDGE

ASSETS

MONEY

TALENT

STRUCTURES &

INCENTIVES

INNOVATION

OUTPUTS

+

BROADER

ENVIRONMENT

Profile of

Area

+

Coverage of

Area

+

+

STRUCTURES

& INCENTIVES

KEY

MONEY

KNOWLEDGE

ASSETS

TALENT

INNOVATION

OUTPUTS

BROADER

ENVIRONMENT

STRUCTURES

& INCENTIVES

KEY

MONEY

KNOWLEDGE

ASSETS

TALENT

INNOVATION

OUTPUTS

BROADER

ENVIRONMENT

The map

Outputs

System mapping offers a useful

technique to represent the views of a

large number of people, to determine

boundaries, components and relative

dependencies within a system. The OR

Unit in BIS used Causal Loop

Diagramming as described by Peter

Senge in the Fifth Discipline.

The Facilitators built influence diagrams

representing the views of the

participants, creating the components

and relationships with Post-its and

points arising from discussion on

whiteboards. The Systems map that

resulted, drawn in Vensim, illustrates

the complexity of the science and

innovation system and many feedback

loops within it.

The map grew through three

workshops with participants from

policy areas in Higher Education,

Further Education and Research, and

was further informed by discussion with

members of the Intellectual Property

Office and the National Measurement

Office. The map informed discussions

between analytical communities of OR

and the Economists compiling data.

Actors within the system include the

government, public services, higher

and further education, business and

industry, financial markets, customers

and citizens, learned societies and

charities.

A Six-Part Framework

reflecting key elements of

the system allowed

benchmarking of the UK

against key comparator

countries.

This work found broad

consensus and empirical

evidence about the key

features of effective science

and innovation systems.

Foreword from

BIS Permanent Secretary Martin

Donnelly and

Director General, Knowledge

and Innovation Sir John O’Reilly

Britain’s prosperity in a rapidly

changing global economy

depends critically on the quality

and quantity of our science,

innovation and skills.

To achieve sustainable growth

we need to examine carefully the

evidence of how others are

approaching these challenges, to

see what we can learn.

This report takes a longer-term,

strategic view and provides a

valuable contribution to our

evidence base. As such it will

help us to build on the UK’s

world class science base and

innovation infrastructure to

secure our future prosperity.

https://www.gov.uk/government/publications/science-and-innovation-system-international-

benchmarking

Social - Advantages

• Buy in

– The process aggregates participants’ views

• Common understanding

– Context and connections for the participants

become visible

• Immediate Engagement

– Speed in use

– Essential to obtain engagement