The Case of the ATLAS Experiment at CERNbaoman.files.wordpress.com/2009/12/max...Dec 03, 2009 · Experiment at CERN, 3 December 2009 4 ATLAS Plenary Meeting Collaboration Board Resource

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

[email protected]

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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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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ATLAS is one of four LHC detectors

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The ATLAS Detector

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4

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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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


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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.

1 ©

Max

Boi

sot

1999

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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

© M

ax B

oiso

t

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Sharing Information DiffusedUndiffused

Codifiedand

Abstract

UncodifiedAnd

Concrete

ZenBuddhists

BondTraders

StructuringInformation

Ref.

1.1.

2.1

© M

ax B

oiso

t

The I-Space: Examples

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Scarcity

Codifiedand

Abstract

Uncodifiedand

ConcreteUndiffused Diffused

Maximum ValueRegion

Utility

The Paradox of ValueRe

f. 1

.1.1.1

© M

ax B

oiso

t 19

99

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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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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 ©

Max

Boi

sot

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Cultural & Institutional NetworksBureaucracy

Fief

Market

Clan

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ICTs and the Diffusion Curve

DiffusedUndiffused

Codified

Uncodified

Ref

. 1.1

.1.2

© M

ax B

oiso

t

DiffusionEffect

BandwidthEffect

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The Impact of ICTs on Culture

DiffusedUndiffused

Codified

Uncodified

Ref

. 1.1

.1.2

© M

ax B

oiso

t

Bureaucracies

Fiefs

Markets

Clans

DiffusionEffect

BandwidthEffect

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Culture and Complexity

DiffusedUndiffused

Codified

Uncodified

Ref

. 1.1

.1.2

© M

ax B

oiso

t

Bureaucracies

Fiefs

Markets

Clans

Order

Complexity

Chaos

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Codified/Abstract

Uncodified/Concrete

Undiffused Diffused

Ref.

1.1.

2.4 © M

ax B

oiso

t

IndividualResearcher

Research Group

SponsoringOrganization

ScientificCommunity

Epistemic Boundaries

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Applying the I-Space to theATLAS Puzzle


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Bureaucracies

Clans

Fiefs

Markets

A Distributed Network?

DiffusedUndiffused

Codifiedand

Abstract

Uncodifiedand

Concrete

The ATLASNetwork?

Ref.

1.1.

1.3 ©

Max

Boi

sot

1999

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Clans

Bureaucracies

Fiefs

Markets

Why Doesn’t ATLAS Fly Apart?

DiffusedUndiffused

Codifiedand

Abstract

Uncodifiedand

Concrete

Order

Complexity

Chaos

Ref.

1.1.

1.3 ©

Max

Boi

sot

1999

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Traffic Lights asHierarchical

Coordinationand Control

HierarchicalControl Can Get

Complicated!


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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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Bureaucracies

Clans

Fiefs

Distributed Networks/Boundary Objects

DiffusedUndiffused

Codifiedand

Abstract

Uncodifiedand

Concrete

Markets

Networks

The ATLAS Detector

Ref.

1.1.

1.3 ©

Max

Boi

sot

1999

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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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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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THANK YOU

[email protected]

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Documents

The Case of the ATLAS Experiment at CERNbaoman.files.wordpress.com/2009/12/max...Dec 03, 2009 · Experiment at CERN, 3 December 2009 4 ATLAS Plenary Meeting Collaboration Board Resource