SlideShare ist ein Scribd-Unternehmen logo
1 von 12
11
Multi-Dimensional Manoeuvre
in the Contemporary Operating Environment
Professor Jonathan Githens-Mazer
Associate Professor in Ethno-Politics, Institute of Arab
and Islamic Studies, Exeter University
Brigadier Richard Stanford MBE
Chief Joint Fires and Influence, HQ ARRC
22
What is HQ ARRC?
• UK’s primary LAND contribution to NATO
• Held at permanent readiness with lead elements always at
5 days NTM or less
• During 2013 HQ ARRC is NATO Response Force (NRF)
Land Component at shorter NTM
• Ability to experiment and develop concepts through
exercises
• Draw on operational experience from 16 nations
33
Future Character of Conflict
• Contested
• Congested
• Cluttered
• Connected
• Constrained
• How to gain an advantage relative to the enemy in this
environment?
• Technological advantage likely to be eroded / countered
• Rapid expansion of Information environment
44
Multi-Dimensional Manoeuvre
• Gain advantage over an opponent in the cyber and
information dimensions as well as land, maritime and air
• Attacking the opponent’s will and cohesion.
• Multi-dimensional tempo that aims to achieve battle-
winning shock and surprise.
• Information operations may be more decisive at times than
ground based tactical activity
55
OODA Loop
66
Big Data
• Need to UNDERSTAND the context, content and
background to the production of the data
• Large amounts of data, when interpreted correctly with
contextual awareness and cultural understanding can
produce very insightful results - quickly
• SOCMINT is one type of INT – all types are required to
develop balanced UNDERSTANDING
– No silver bullet but adoption o Big Data is needed
• Some commentators state a recent over reliance on
SIGINT at the expense of HUMINT and comprehension of
local populations. SOCMINT can complement both SIGINT
and HUMINT
77
Information Operations
• UNDERSTAND is only one side
• Importance of Perception
– C20th wars of national survival – clear win and lose.
– C21st conflict resolution shaped by perception and public opinion
• How use new media to communicate our message?
• How generate tempo in information operations?
• Can the tenets of Mission Command be applied to
Information Operations?
• What are our vulnerabilities which will be attacked?
– different values on human life and proportionality?
88
Information Techniques and Contingency
• How to develop rapid UNDERSTANDING of an area or
region in line with readiness?
– Horizon scanning
– Regional and thematic experts – upstream knowledge
• How does Big Data enable us to make up for the speed vs
depth?
• How do we use Big Data to identify enemy weakness and
mask our own?
• Use of Big Data to measure our own effectiveness much
more quickly
99
Applicatons of Expert Calibrated Big
Data (I)
• Potential for profound academic (yawn!) methodological
transformation at moment
– New opportunities to embrace complexity within massive open-
ended dynamic systems (snapshot and observation in motion)
• Public Health
• Climate Change
• Urban Environments
• Big Data allows for shift from deductive logic to inductive
logic – constant adjustment of probabilistic expectations
against a Criterion of Adequacy
– Not correlations – real time adjustment to (potentially infinite) set of
probabilistically possible explanations
– Moving away from thinking about cause and effect and towards flow
and interaction
1010
Applicatons of Expert Calibrated Big
Data (I)
• Using Big Data via Bayesian influenced pattern
searching and expert calibration:
• Does not discount the unimaginable
• Allows the data (eventually) in real time, to guide
knowing/understanding and insight/foresight (JDP 04)
with respect to requisite quanta of data necessary to
analyse a given Contemporary Operating Environment
(COE)
• Big Data as complement to existing Intelligence to allow for
better/deeper understanding (insight/foresight) for
Contingency Policy/Planning and to measure effectiveness
of Information Operations?
• Starting points: Janus Headed Approach - case study
research and DCDC Future Character of Conflict (2010)
1111
Conclusion
• Information superiority = gaining advantage over an
opponent in the cyber and information dimensions
• OODA loop valid but
– Speed of rotation
– Amount of information to understand
• Big Data on its own of no use, has to be interpreted in
context of culture, language and nuance
• New tactics and techniques required to respond to the
technological changes
• Using momentum of technological change and
methodological innovation to contribute to contingency
readiness and measure success of Influence in real time
and reflective of COE
1212
Questions?

Weitere ähnliche Inhalte

Ähnlich wie Brigadier Stanford and Professor Githens-Mazer - Multi-Dimensional Manoeuvre in the Contemporary Operating Environment

OC3 STRATEGIC CONVERSATION FEB 2009
OC3 STRATEGIC CONVERSATION FEB 2009OC3 STRATEGIC CONVERSATION FEB 2009
OC3 STRATEGIC CONVERSATION FEB 2009
Ian van Vuuren
 
Multi-Tenancy and Virtualization in Cloud Computing
Multi-Tenancy and Virtualization in Cloud ComputingMulti-Tenancy and Virtualization in Cloud Computing
Multi-Tenancy and Virtualization in Cloud Computing
Alexandru Iosup
 
Everbridge Webinar - Ten Years After 9/11
Everbridge Webinar - Ten Years After 9/11Everbridge Webinar - Ten Years After 9/11
Everbridge Webinar - Ten Years After 9/11
Everbridge, Inc.
 
BIMCV: The Perfect "Big Data" Storm.
BIMCV: The Perfect "Big Data" Storm. BIMCV: The Perfect "Big Data" Storm.
BIMCV: The Perfect "Big Data" Storm.
maigva
 

Ähnlich wie Brigadier Stanford and Professor Githens-Mazer - Multi-Dimensional Manoeuvre in the Contemporary Operating Environment (20)

Infiltrate 2015 - Data Driven Offense
Infiltrate 2015 - Data Driven Offense Infiltrate 2015 - Data Driven Offense
Infiltrate 2015 - Data Driven Offense
 
Disruptive as Usual: New Technologies and Data Value Professor Severino Mereg...
Disruptive as Usual: New Technologies and Data Value Professor Severino Mereg...Disruptive as Usual: New Technologies and Data Value Professor Severino Mereg...
Disruptive as Usual: New Technologies and Data Value Professor Severino Mereg...
 
Data Science, Knowledge Discover, Mining and Learning
Data Science, Knowledge Discover, Mining and LearningData Science, Knowledge Discover, Mining and Learning
Data Science, Knowledge Discover, Mining and Learning
 
Keynote: Graphs in Government_Lance Walter, CMO
Keynote:  Graphs in Government_Lance Walter, CMOKeynote:  Graphs in Government_Lance Walter, CMO
Keynote: Graphs in Government_Lance Walter, CMO
 
Graham Pryor
Graham PryorGraham Pryor
Graham Pryor
 
2004 07 intelligence new rules seminar
2004 07 intelligence new rules seminar2004 07 intelligence new rules seminar
2004 07 intelligence new rules seminar
 
OC3 STRATEGIC CONVERSATION FEB 2009
OC3 STRATEGIC CONVERSATION FEB 2009OC3 STRATEGIC CONVERSATION FEB 2009
OC3 STRATEGIC CONVERSATION FEB 2009
 
Multi-Tenancy and Virtualization in Cloud Computing
Multi-Tenancy and Virtualization in Cloud ComputingMulti-Tenancy and Virtualization in Cloud Computing
Multi-Tenancy and Virtualization in Cloud Computing
 
Accelerator Innovation Network Event: Session 2
Accelerator Innovation Network Event: Session 2 Accelerator Innovation Network Event: Session 2
Accelerator Innovation Network Event: Session 2
 
Data mining with big data
Data mining with big dataData mining with big data
Data mining with big data
 
CD Spring 2018 - Humanitarian Support Challenge (Royal Engineers)
CD Spring 2018 - Humanitarian Support Challenge (Royal Engineers)CD Spring 2018 - Humanitarian Support Challenge (Royal Engineers)
CD Spring 2018 - Humanitarian Support Challenge (Royal Engineers)
 
Computational intelligence for big data analytics bda 2013
Computational intelligence for big data analytics   bda 2013Computational intelligence for big data analytics   bda 2013
Computational intelligence for big data analytics bda 2013
 
Everbridge Webinar - Ten Years After 9/11
Everbridge Webinar - Ten Years After 9/11Everbridge Webinar - Ten Years After 9/11
Everbridge Webinar - Ten Years After 9/11
 
Big data session five ( a )f
Big data session five ( a )fBig data session five ( a )f
Big data session five ( a )f
 
Exploring Shared Situational Awareness using Serious Gaming in Supply Chain D...
Exploring Shared Situational Awareness using Serious Gaming in Supply Chain D...Exploring Shared Situational Awareness using Serious Gaming in Supply Chain D...
Exploring Shared Situational Awareness using Serious Gaming in Supply Chain D...
 
Module4-PolicyFormulation.pdf
Module4-PolicyFormulation.pdfModule4-PolicyFormulation.pdf
Module4-PolicyFormulation.pdf
 
Big data and education 2015 leon
Big data and education 2015   leonBig data and education 2015   leon
Big data and education 2015 leon
 
BIMCV: The Perfect "Big Data" Storm.
BIMCV: The Perfect "Big Data" Storm. BIMCV: The Perfect "Big Data" Storm.
BIMCV: The Perfect "Big Data" Storm.
 
State of Florida Neo4J Graph Briefing - Keynote
State of Florida Neo4J Graph Briefing - KeynoteState of Florida Neo4J Graph Briefing - Keynote
State of Florida Neo4J Graph Briefing - Keynote
 
Security Analytics Beyond Cyber
Security Analytics Beyond CyberSecurity Analytics Beyond Cyber
Security Analytics Beyond Cyber
 

Mehr von Royal United Services Institute for Defence and Security Studies

Mehr von Royal United Services Institute for Defence and Security Studies (20)

NCSC Speaker
NCSC Speaker NCSC Speaker
NCSC Speaker
 
Dr Stuart Eves
Dr Stuart Eves   Dr Stuart Eves
Dr Stuart Eves
 
Professor Steve Roberts
Professor Steve RobertsProfessor Steve Roberts
Professor Steve Roberts
 
Air Vice Marshal Stubbs
Air Vice Marshal StubbsAir Vice Marshal Stubbs
Air Vice Marshal Stubbs
 
Air Marshal Leo Davies
Air Marshal Leo DaviesAir Marshal Leo Davies
Air Marshal Leo Davies
 
Colonel (Retd) Thomas X Hammes USMC
Colonel (Retd) Thomas X Hammes USMC Colonel (Retd) Thomas X Hammes USMC
Colonel (Retd) Thomas X Hammes USMC
 
Professor John Louth
Professor John Louth Professor John Louth
Professor John Louth
 
Clive Wright
Clive Wright Clive Wright
Clive Wright
 
Andrew Wilson
Andrew WilsonAndrew Wilson
Andrew Wilson
 
Dr Christina Balis
Dr Christina BalisDr Christina Balis
Dr Christina Balis
 
Mr Simon Fovargue - RUSI Land Warfare Conference 2015
Mr Simon Fovargue - RUSI Land Warfare Conference 2015Mr Simon Fovargue - RUSI Land Warfare Conference 2015
Mr Simon Fovargue - RUSI Land Warfare Conference 2015
 
Mr Claes-Peter Cederlöf - RUSI Land Warfare Conference 2015
Mr Claes-Peter Cederlöf - RUSI Land Warfare Conference 2015Mr Claes-Peter Cederlöf - RUSI Land Warfare Conference 2015
Mr Claes-Peter Cederlöf - RUSI Land Warfare Conference 2015
 
Lieutenant General Timothy Evans - RUSI Land Warfare Conference 2015
Lieutenant General Timothy Evans - RUSI Land Warfare Conference 2015Lieutenant General Timothy Evans - RUSI Land Warfare Conference 2015
Lieutenant General Timothy Evans - RUSI Land Warfare Conference 2015
 
Major General William Hix - RUSI Land Warfare Conference 2015
Major General William Hix - RUSI Land Warfare Conference 2015Major General William Hix - RUSI Land Warfare Conference 2015
Major General William Hix - RUSI Land Warfare Conference 2015
 
Brigadier Richard Toomey - RUSI Land Warfare Conference 2015
Brigadier Richard Toomey - RUSI Land Warfare Conference 2015Brigadier Richard Toomey - RUSI Land Warfare Conference 2015
Brigadier Richard Toomey - RUSI Land Warfare Conference 2015
 
Mr Allan Mallinson - RUSI Land Warfare Conference 2015
Mr Allan Mallinson - RUSI Land Warfare Conference 2015Mr Allan Mallinson - RUSI Land Warfare Conference 2015
Mr Allan Mallinson - RUSI Land Warfare Conference 2015
 
Professor Malcolm Chalmers
Professor Malcolm ChalmersProfessor Malcolm Chalmers
Professor Malcolm Chalmers
 
Professor Trevor taylor
Professor Trevor taylorProfessor Trevor taylor
Professor Trevor taylor
 
Professor Peter Dutton
Professor Peter DuttonProfessor Peter Dutton
Professor Peter Dutton
 
Michael Keegan
Michael KeeganMichael Keegan
Michael Keegan
 

Kürzlich hochgeladen

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 

Kürzlich hochgeladen (20)

Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
A Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source MilvusA Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source Milvus
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 

Brigadier Stanford and Professor Githens-Mazer - Multi-Dimensional Manoeuvre in the Contemporary Operating Environment

  • 1. 11 Multi-Dimensional Manoeuvre in the Contemporary Operating Environment Professor Jonathan Githens-Mazer Associate Professor in Ethno-Politics, Institute of Arab and Islamic Studies, Exeter University Brigadier Richard Stanford MBE Chief Joint Fires and Influence, HQ ARRC
  • 2. 22 What is HQ ARRC? • UK’s primary LAND contribution to NATO • Held at permanent readiness with lead elements always at 5 days NTM or less • During 2013 HQ ARRC is NATO Response Force (NRF) Land Component at shorter NTM • Ability to experiment and develop concepts through exercises • Draw on operational experience from 16 nations
  • 3. 33 Future Character of Conflict • Contested • Congested • Cluttered • Connected • Constrained • How to gain an advantage relative to the enemy in this environment? • Technological advantage likely to be eroded / countered • Rapid expansion of Information environment
  • 4. 44 Multi-Dimensional Manoeuvre • Gain advantage over an opponent in the cyber and information dimensions as well as land, maritime and air • Attacking the opponent’s will and cohesion. • Multi-dimensional tempo that aims to achieve battle- winning shock and surprise. • Information operations may be more decisive at times than ground based tactical activity
  • 6. 66 Big Data • Need to UNDERSTAND the context, content and background to the production of the data • Large amounts of data, when interpreted correctly with contextual awareness and cultural understanding can produce very insightful results - quickly • SOCMINT is one type of INT – all types are required to develop balanced UNDERSTANDING – No silver bullet but adoption o Big Data is needed • Some commentators state a recent over reliance on SIGINT at the expense of HUMINT and comprehension of local populations. SOCMINT can complement both SIGINT and HUMINT
  • 7. 77 Information Operations • UNDERSTAND is only one side • Importance of Perception – C20th wars of national survival – clear win and lose. – C21st conflict resolution shaped by perception and public opinion • How use new media to communicate our message? • How generate tempo in information operations? • Can the tenets of Mission Command be applied to Information Operations? • What are our vulnerabilities which will be attacked? – different values on human life and proportionality?
  • 8. 88 Information Techniques and Contingency • How to develop rapid UNDERSTANDING of an area or region in line with readiness? – Horizon scanning – Regional and thematic experts – upstream knowledge • How does Big Data enable us to make up for the speed vs depth? • How do we use Big Data to identify enemy weakness and mask our own? • Use of Big Data to measure our own effectiveness much more quickly
  • 9. 99 Applicatons of Expert Calibrated Big Data (I) • Potential for profound academic (yawn!) methodological transformation at moment – New opportunities to embrace complexity within massive open- ended dynamic systems (snapshot and observation in motion) • Public Health • Climate Change • Urban Environments • Big Data allows for shift from deductive logic to inductive logic – constant adjustment of probabilistic expectations against a Criterion of Adequacy – Not correlations – real time adjustment to (potentially infinite) set of probabilistically possible explanations – Moving away from thinking about cause and effect and towards flow and interaction
  • 10. 1010 Applicatons of Expert Calibrated Big Data (I) • Using Big Data via Bayesian influenced pattern searching and expert calibration: • Does not discount the unimaginable • Allows the data (eventually) in real time, to guide knowing/understanding and insight/foresight (JDP 04) with respect to requisite quanta of data necessary to analyse a given Contemporary Operating Environment (COE) • Big Data as complement to existing Intelligence to allow for better/deeper understanding (insight/foresight) for Contingency Policy/Planning and to measure effectiveness of Information Operations? • Starting points: Janus Headed Approach - case study research and DCDC Future Character of Conflict (2010)
  • 11. 1111 Conclusion • Information superiority = gaining advantage over an opponent in the cyber and information dimensions • OODA loop valid but – Speed of rotation – Amount of information to understand • Big Data on its own of no use, has to be interpreted in context of culture, language and nuance • New tactics and techniques required to respond to the technological changes • Using momentum of technological change and methodological innovation to contribute to contingency readiness and measure success of Influence in real time and reflective of COE