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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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The Case of the

ATLAS Experiment at CERN

Max Boisot

ESADE, Barcelona

&

The I-Space Institute

boisot@ispaceinstitute.com

The ATLAS Experiment at CERN

• The  ATLAS  experiment  at  CERN  is  one  of  four  that,working  with  the  Large  Hadron  Collider  (LHC),  willexplore  new  physics  in  the  14  TeV  energy  range.

• The  ATLAS  detector  is  one  of  the  largest,  most  complex,and  most  ambiHous  experimental  machines  ever  built.

• Its  construcHon  involved  over  2500  physicists  from  135research  insHtutes  spread  across  33  countries.

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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How  does  knowledge  emerge  in  anorganizaHon  as  extended  and  complex

as  the  ATLAS  CollaboraHon?

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The Large Hadron Collider (LHC)

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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ATLAS  is  one  of  four  LHC  detectors

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The ATLAS Detector

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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ATLASPlenary Meeting

CollaborationBoard

ResourceReview Board

CB ChairAdvisory Group Spokesperson

ResourcesCoordinator

TechnicalCoordinator

ExecutiveBoard

InnerDetector

ComputingCoordination

LArCalorimeter

Data Prep.Coordination

TileCalorimeter

Physics b>Coordination

MuonInstrumentation

Upgrade SGCoordinator

Trigger/DAQ

Pub. Comm.Coordinator

Commissioning/Run Coordinator

AdditionalMembers

TriggerCoordination

The ATLAS Organization

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Detection

Luminosity (Collision Rate)

Data acquisition

ATLAS  Performance  Spidergraph

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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The ATLAS Puzzle

• The  CollaboraHon  is  held  together  by  MoUs

• Decision  making  is  boWom-­‐up

• Decision  making  is  distributed

     How  does  the  Collabora/on  manage  to  reach    the/ps  of  the  spidergraph?

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The Information-Space(I-­‐Space)

A  Conceptual  Framework

Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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Three  Kinds  of  Knowledge

• Experien(al  –  what  can  I  see,  hear,  feel,  smell,  ortouch?

• Narra(ve  –  what  can  I  say  about  it?

• Abstract  Symbolic  –  what  can  I  extract  from  itwhich  is  stable  or  durable?

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       Structuring Information

Codifiedand

Abstract

Uncodifiedand

Concrete

Abstract Symbolic Knowledge

Narrative Knowledge

Experiential Knowledge

Ref.

1.1.

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Max

Boi

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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The I-Space: The Key Concept

DiffusedUndiffused

Codifiedand

Abstract

Uncodifiedand

Concrete

StructuringInformation

Sharing Information

Experiential

Narrative

Abstract Symbolic

Ref.

1.1.

2.1

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Sharing Information DiffusedUndiffused

Codifiedand

Abstract

UncodifiedAnd

Concrete

ZenBuddhists

BondTraders

StructuringInformation

Ref.

1.1.

2.1

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The I-Space: Examples

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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Scarcity

Codifiedand

Abstract

Uncodifiedand

ConcreteUndiffused Diffused

Maximum ValueRegion

Utility

The Paradox of ValueRe

f. 1

.1.1.1

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Codified & Abstract Knowledge

• You  gain  manipulability  and  predictability• It  behaves  like  an  object• It  can  generalize  to  new  cases• You  can  store  it• You  can  write  contracts• You  can  sell  it

But:• You  may  lose  contextual  richness,  feeling,  andunderstanding

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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Lost for Words?

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Bureaucracies

Clans

Fiefs

Markets

DiffusedUndiffused

Codifiedand

Abstract

Uncodifiedand

Concrete

     Institutions & Cultures in I-Space

Ref.

1.1.

1.3 ©

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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Cultural & Institutional NetworksBureaucracy

Fief

Market

Clan

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 ICTs and the Diffusion Curve

DiffusedUndiffused

Codified

Uncodified

Ref

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.1.2

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DiffusionEffect

BandwidthEffect

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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The Impact of ICTs on Culture

DiffusedUndiffused

Codified

Uncodified

Ref

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Bureaucracies

Fiefs

Markets

Clans

DiffusionEffect

BandwidthEffect

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Culture and Complexity

DiffusedUndiffused

Codified

Uncodified

Ref

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.1.2

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Bureaucracies

Fiefs

Markets

Clans

Order

Complexity

Chaos

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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Codified/Abstract

Uncodified/Concrete

Undiffused Diffused

Ref.

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2.4 © M

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IndividualResearcher

Research Group

SponsoringOrganization

ScientificCommunity

Epistemic Boundaries

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Applying the I-Space to theATLAS Puzzle

Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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Bureaucracies

Clans

Fiefs

Markets

A Distributed Network?

DiffusedUndiffused

Codifiedand

Abstract

Uncodifiedand

Concrete

The ATLASNetwork?

Ref.

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Clans

Bureaucracies

Fiefs

Markets

Why Doesn’t ATLAS Fly Apart?

DiffusedUndiffused

Codifiedand

Abstract

Uncodifiedand

Concrete

Order

Complexity

Chaos

Ref.

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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Traffic Lights asHierarchical

Coordinationand Control

HierarchicalControl Can Get

Complicated!

Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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The Traffic Roundabout as Boundary Object

Detector as Boundary Object?

Group 2 Group 6

Group 3

Group 1 Group 7

Group 4

Group 5

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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Bureaucracies

Clans

Fiefs

Distributed Networks/Boundary Objects

DiffusedUndiffused

Codifiedand

Abstract

Uncodifiedand

Concrete

Markets

Networks

The ATLAS Detector

Ref.

1.1.

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Matrix vs. Ecology

Pro

ject

Axi

s

Technical Axis

The NASA Matrix

CERN

ATLAS

The ATLAS/CERN Ecology

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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The ATLAS Hypothesis:

• The  ATLAS  CollaboraHon  has  to  navigate  mulHple  stakeholder  cultures

• Each  operates  with  different  truth  and  jus(fica(on  condiHons

• The  ATLAS  challenge  is  then  to  manage  a  cultural  ecology

       Hypothesis:      The  Detector  acts  as  a  boundary  object  that  binds  the  cultural  ecology

into  a  complex  adap/ve  system  (CAS)

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Implications:• A  socio-­‐technical  example  of  what  Andy  Clark  (2008)  refers  to  as

the  extended  mind

• Also  an  example  of  Per  Bak’s  (1997)  Self-­‐Organized  Cri(cality(SOC)

• The  ATLAS  CollaboraHon  sits  at  the  edge  of  chaos

• The  binding  agents  are  trust,  based  on  shared  values  and  sharedinteracHons  with  a  boundary  object:  the  detector

Could  such  a  phenomenon  be  replicated  within  or  across  commercialorganiza/ons?

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Prof. Max Boiset: The case of the ATLASExperiment at CERN, 3 December 2009

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THANK  YOU

boisot@ispaceinsHtute.com

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