Rob Leland Sandia National Laboratories - Los Alamos …€¦ ·  · 2006-10-31Rob Leland Sandia...

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Technology Convergence and National Security Rob Leland Sandia National Laboratories

Transcript of Rob Leland Sandia National Laboratories - Los Alamos …€¦ ·  · 2006-10-31Rob Leland Sandia...

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Technology Convergence and National Security

Rob LelandSandia National Laboratories

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To Be Determined

T.B.D.

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Outline

• Part 1: National Security

• Part 2: Technology Convergence

• Part 3: An example

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Part 1: National Security

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What is national security?

Global

ConstructiveDestructive

• Resource conflicts

• Sustainable dev.

• Ecomigration

• Conventional engage.

• Nuclear deterrence

•Military containment

• Prosperity

• Health care

• Education

• Terrorism

• Crime

Environmental

Local

Human need

War

Homeland

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Basic thesis

• Breakdown in Red and Green leads to conflict in Grey and Black

• Prevention is more efficient

• Do we have the right balance of effort?

Current relative effort

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Basic algorithm

• Describe the problem in full dimension• Understand the threat• Work back from the future• Formulate a systems solution• Choose the leverage point• Apply technology if appropriate

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A sampling of the space

An observation

An observation

Problemfocus

Solutionfocus

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Red: Some perspective

Warfare 37m

Government action 170m

Smallpox >300m

Infectious disease few billion

All causes ~10B

Deaths worldwide, 1900-2000

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Black: Historical cycles

Era Crisis Period Peak Yrs. since previous

Late Medieval

Wars of Roses

1459-1487 1485

Reformation Armada Crisis

1569-1594 1588 103

New World Glorious Revolution

1675-1704 1689 101

Revolutionary American Revolution

1773-1794 1781 92

Civil War Civil War 1860-1865 1863 82

Great Power Depression & WWII

1929-1946 1944 81

Millennial Millennial 2005-2026? 2024? 80?

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Green: The Malthus challenge

2000: 6B people, $30T economic output

2025: 8B people, $60T economic output

2100: Expect ~2X as many people, Expect ~5X per capita consumption

Implies an order of magnitude greater environmental stress on the planet

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One perspective

“The political and strategic impact of surging populations, spreading disease, deforestation and soil erosion, water depletion, air pollution, and, possibly, rising sea levels … will prompt mass migrations and, in turn, incite group conflicts … and become the core foreign policy challenge from which most others will ultimately emanate”

“It is time to understand “the environment” for what it is: the national security issue of the early twenty first century.”

- Robert Kaplan,The Atlantic Monthly

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The national security connection

• Green links to NS directly through– Impact on our health, safety & prosperity

• e.g. ozone and fishery depletion– Conflict over resources

• e.g. with China over green house gas emissions or the pollution plume approaching the West Coast

– Strategic linkage• e.g. defense agreements and deployments to protect access

to oil resources in Middle East• And indirectly through

– Ecomigration leading to conflict• e.g. India/Bangladesh

– Destabilization of critical regions• e.g. Turkey/Syria

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For example: The freshwater shortage …

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… is acute globally

3.4 x 1012 m3 captured------------------- = 340 m3/person

10 x 109 people

WHO: <1700 Stress; <1000 Shortage; <500 Crisis

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Which means …

•80 Countries with 40% of the world•population suffer from water shortage

•1 billion people drink unsafe water each day

•A child dies every eight seconds from•contaminated drinking water

•Countries with the highest population growth rates have inadequate resources

•Increased regional tensions and ecomigration

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Two case studies

Middle East

Water avail. (m^3/cap) 1990 2025Israel 470 310Jordan 260 80Saudi Arabia 160 50

> 95% of available water in use

4.8M people living along border900,000 ecomigrants/year2250 km2 of farmland are lost/yearWater table dropping 1-3 / year

US/Mexico

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Gray: Clear and Present

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Effective bio-attack appears feasible

Prevailing Wind

20 km

5 k

m

“Bio-ICBM”

Adapted from Hotzone ‘99 (Potomac Inst,) & National Guard Stakeholder’s Conference Materials

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Early action is key

Anthrax - 100K Exposed)

0

5

10

15

20

25

30

35

0 1 2 3 4 5 6

Start of Intervention (days)

Dea

ths

(1,0

00's

)

Adapted from Hotzone ‘99 (Potomac Inst,) &, CDC Economic Impact of Bioterrorism

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… but difficult

0

25000

50000

75000

100000

125000

150000

0 2 4 6 8 10Days

# Af

fect

ed

Adapted from Defense of cities against Chemical and Biological Attack (DTRA, SNL/CA, Washington Inst.)

Detection of attack/medical surveillance

Infections

Illnesses

Fatalities

2 days

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Note

• Our competence is predominantly in the physical sciences

• The new threats depend strongly on– Informational awareness– Biology– Ecology– Individual psychology– Small group behavior– Social, political and cultural dynamics

Decreasingfamiliarity

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Part 2: Technology Convergence

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What is covergence?Generation index Technological Event

-10,000 Tool use-500 Drawing-400 Agriculture, writing-40 Universities-24 Printing-16 Modern scientific method, accurate clocks-10 Industry-5 Telephone-4 Radio-3 Television-2 Digital computers-1 Space age, microbiology-.5 Internet, nanoscience0 ?

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One answer

Cogno

Nano

InfoBio

Cogno

Nano

InfoBio

NBIC

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One answer

Cogno

Nano

InfoBio

Cogno

Nano

InfoBio

•Bits

•Atoms

•Neurons

•Genes

NBIC

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One answer

Cogno

Nano

InfoBio

Cogno

Nano

InfoBio

•Bits

•Atoms

•Neurons

•Genes

The little “BANG”

NBIC

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Edge examples

Cogno

Nano

InfoBio

Cellular sensors

Cellular signaling

Cellular i

nstrumenta

tion

Neural interface

Neural networksNeu

ral h

ardw

are

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Plane examplesCogno

Nano

InfoBio

Cellular sensors

Cellular signaling model

Cellular i

nstrumenta

tion

Neural interface

Neural networksN

eura

l har

dwar

e

• Neuron “tunnel” (SNL)• “Digital” antibodies … viral sized logic chips (HP)• Tissue based and in-vivo sensors

- nanotube monitors in brain blood vessels (NYU)- optical nanosensors for chemical analysis within cells (U Mich.)

• DNA regulated nano assembly of circuit devices (U Minn.)

Live neural net (Cornell)

Neural “nMOS” architecture (Tokyo U)

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Neuromorphic-nano engineeringCraighead Group, Cornell University

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Biomechanical-nano engineeringMontemagno Group, UCLA

ATP-ADP motorVoltage gated nano-valve

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The “cognohedron”Cogno

Nano

InfoBio

Physical

Behavioral

Cellular sensors

Cellular signaling model

Cellular i

nstrumenta

tion

Neural interface

Neural networksN

eura

l har

dwar

e

• Neuron “tunnel” (SNL)• “Digital” antibodies … viral sized logic chips (HP)• Tissue based and in-vivo sensors

- nanotube monitors in brain blood vessels (NYU)- optical nanosensors for chemical analysis within cells (U Mich.)

• DNA regulated nano assembly of circuit devices (U Minn.)

Synthetic intelligence

Artificial immune system

Cognitive prosthetics

Brain-machine interface

Live neural net (Cornell)

Neural “nMOS” architecture (Tokyo U)

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Part 3: Terrorism detection as an example

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An assessment of the need

• Interpreters and analysts with language skills• Better intelligence filtering and fusion• Automated conversion of intelligence from

paper to electronic form• Greater use of open sources for intelligence• More use of red teaming• Greater investment in technology research and

development• More staff and resources to cover simultaneous

threats• … etc.

“Nothing will be more important to the success of the campaign against terrorism than meaningfully improving the intelligence

community’s capabilities and performance” -CSIS

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Terrorism detection architecture

Capabilities

Inclinations

Database of

Possible Planned Events

Database of

DetectedActivities

Hypotheticalactions

Plausibilityevidence

RefineCollection

Interdict/prepare

Proposed new hypotheses

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Understanding and anticipating the threat

The quest to avoid surprise will require optimal use of humans and machines

Study the enemy

Assess our weaknesses

Filter &

prioritizeAnalyze

Anticipateunfoldingevents

Gaming,Modeling

&Simulation

Sense situation details

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Three types of terrorism gaming

Hunter Games• developing scenarios for intelligence analysis• experimenting with tools for information extraction and

analysisPolicy Games• exploring counterterrorism strategies

– deterrence, disruption, dismantlement…– economic, political, military…– national and international law

Responder Games• providing realistic experience for defenders• assisting response planning• exploring future defensive tools

InfoInfoGatekeepersGatekeepers

TerroristTerroristCell 1Cell 1

TerroristTerroristCell 2Cell 2

TerroristTerroristCell 3Cell 3

LocalLocalDefenderDefender

StateStateDefenderDefender

NationalNationalDefenderDefender

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Scenario-driven data mining

FrameScenario

NominateSpecificSet of

Actions

ScoreScenario

DiscoverIndicators

Hunt forEvidence

ProposeAlternateSets ofAction

ScoreAlternateScenarios

HunterGame

IdentifySignals &Signature

Normal approach

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Social prediction challenge

Group

Actor

• Psychological models

• Cognitive models

Physiology/ biology

• Network analysis

• Agent models

• Religion models

• Language models

• Gender roles

• Ethnicity

• Values and beliefs

• Social learning thy.

How to model behavioral phenomena computationally?

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Social/psychological simulation approach

• Underpin approach with social theoretic framework

Social Learning Theory

Terrorist Management Theory

• Develop computational formalism for modeling socio-psychological systems:

Agent-Based Modeling

Social Network Analysis

Cognitive Models

• Guide model development with data classification using neural networks

• Validate approach on data-rich analog: street gangs

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Summary thoughts

• Our concept and sense of national security will change dramatically over the next decade

• An emerging confluence of key technologies will prove vital in addressing the coming challenges

• Our community has a pivotal role to play in that confluence.

• We should think more broadly and creatively, and to understand better the “softer” sciences.

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Acknowledgements

Reference/CreditThreat space mapping – SNL Advanced Concepts Group/Gerry YonasConflict deaths - The Economist; Disease deaths- Al Zelicoff; total deaths - a simple exponential growth modelPopulation/Economic figures for 2000/2025 – WorldWatch/Homer-DixsonHistorical crisis chart (adapted) - The Fourth Turning, Strauss & HoweThreat illustrations – ACG/Ken MillerConvergence in time - NSF NBIC reportThe cognohedron/NIBC – ACG/Rob Leland

Behavior modeling paradigm – ACG/Ben Wu

The Big Down, ETC Group – BANG name for NIBC

To Prevail: An American Strategy for the Campaign Against Terrorism; Campbell and Flournoy, CSIS.

Terrorism detection architecture – ACG

Sensor element concept – ACG/Ron Pate

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A system solution

Stakeholder Collaboration

DataAcquisition

DataInterpretation

ResourceManagement

Decisions

Alternate Development

Reuse technologies

Protected Agriculture

Evaporation Suppression

Monitoring and Information System