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James Bradfield Moody, RMIT, 26 November, 2010
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James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

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Page 1: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Page 2: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Warning:This presentation will contain predictions.

All information within The Presentation is provided “AS IS” and without express or implied representations or warranties (whether from The Presenter or any of its officers, employees or representatives (“Agents”) or any other party) regarding accuracy, operability or use or fitness for a particular purpose. In particular, no representation or warranty is given as to the accuracy, likelihood of achievement or reasonableness of any forecasts, prospects or returns contained in this Presentation. Such forecasts, prospects and returns are by their nature subject to significant uncertainties and contingencies.

The Presentation is the property of The Presenter and must be kept in the strictest confidence and only be used for the purpose for which it has been provided. Any distribution of The Presentation or use of it for any purpose other than that for which it has been provided, whether in whole of in part, or any disclosure of its contents without the prior written consent of The Presenter is prohibited.

The information (financial or otherwise) contained in this The Presentation has not been, nor will be, independently verified by The Presenter or its Agents. Its contents are based on Information and financial data available as at the date of this The Presentation. By accepting this The Presentation, the recipient hereby agrees to use any information herein (financial or otherwise) solely and exclusively at its own risk.

The recipient should make its own independent investigations and analysis of The Presenter and its proposed business ventures and should satisfy itself as to the accuracy, reliability and completeness of such information and material (financial or otherwise). The recipient should consider seeking appropriate professional advice in reviewing this The Presentation and evaluating the suitability of any investment.

To the extent permitted by law, The Presenter and its Agents:• make no warranty, express or implied, as to the accuracy, reliability or completeness of The Presentation or the information (financial or otherwise) contained

herein,• disclaim all liability, direct or indirect (whether or not arising out of the negligence, default or lack of care of The Presenter or any of its Agents) for loss or

damage suffered by the recipient or another person arising out of, or any connection with, any use or reliance on The Presentation or the information (financial or otherwise) contained herein; and

• are under no obligation to correct, update or revise The Presentation or any information or material otherwise provided by any other recipient or any other person in connection with any further investigation or any of its proposed business ventures.

The recipient shall not be entitled to rely on any representations or warranties made to it by The Presenter or any of its Agents other than those representations and warranties expressly included in the definitive agreement regarding an investment in The Presenter .

The Presentation does not constitute and invitation in any place in which, or to any person to whom, it would not be lawful to make such and invitation. The distribution of this Presentation in jurisdictions outside Australia may be restricted by law and persons who come into possession of The Presentation should seek advice on and observe any such restriction. Any failure to comply with such restrictions may constitute a violation of the applicable securities laws.

Dis

clai

mer

Page 3: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

“This ‘telephone’ has too many shortcomings to be seriously considered as a means of communication. The device is inherently of no value to us”

Western Union Internal Memo, 1876

Dan

gers

of P

redi

ctio

n

Page 4: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

“Everything that can be invented has been invented”

Charles H. Duell, Commissioner, US Office of Patents, 1899

Dan

gers

of P

redi

ctio

n

Page 5: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

“Computers in the future may weigh no more than 1.5 tonnes”

Popular Mechanics, 1949

Dan

gers

of P

redi

ctio

n

Page 6: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

“I think there is a world market for maybe five computers”

Thomas Watson, Chairman of IBM, 1943

Dan

gers

of P

redi

ctio

n

Page 7: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

“There is no reason anyone would want a computer in their home”

Ken Olson, Present, Chairman and Founder of Digital Equipment Corp, 1977

Dan

gers

of P

redi

ctio

n

Page 8: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

“640k [of RAM] ought to be enough for anybody”

Bill Gates, Chairman of Microsoft,1981

Dan

gers

of P

redi

ctio

n

Page 9: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Wha

t is

Inno

vatio

n?

Page 10: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Inno

vatio

n

Page 11: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Needs

Technology

Institutions

Inno

vatio

n C

hara

cter

istic

s

Page 12: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Inno

vatio

n? ?

Page 13: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

TextilesCotton, IronCanals

Wave 1:Water Power

(Industrial Revolution) EnginesRailwaysMechanisation

Wave 2: Steam

ElectricityHeavy EngineeringSynthetic Dyes

Wave 3: Electrification Autos

AirlinesPlastics

Wave 4: Mass

Production ComputersTelecomsSoftware

Wave 5: Information &

Communications

1780 1840 1890 1940 1970 2010

Wav

es o

f Inn

ovat

ion

Page 14: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Need

Technology

Institutions

Wha

t hap

pene

d in

IT?

Page 15: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Tech

nolo

gy

Page 16: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Inst

itutio

ns

Page 17: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Mar

kets

Page 18: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Resource Efficiency

TextilesCotton, IronCanals

Wave 1:Water Power

(Industrial Revolution) EnginesRailwaysMechanisation

Wave 2: Steam

ElectricityHeavy EngineeringSynthetic Dyes

Wave 3: Electrification Autos

AirlinesPlastics

Wave 4: Mass

Production ComputersTelecomsSoftware

Wave 5: Information &

Communications

1780 1840 1890 1940 1970 2010

Wav

es o

f Inn

ovat

ion

Page 19: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Needs

Technology

InstitutionsExternalities

Rights definitionInfrastructure

Trading

Resource Efficiency

(Human, Natural Information)

CleantechEnergyWaterWaste

Res

ourc

es

Page 20: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Old Mode of Operation

New Mode of Operation

Harvesting resources that are

plentiful andcheap

Managing resources that are

scarce and valuable

In a resource-limited world:

The

Win

ning

For

mul

a

Page 21: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Nat

ural

Res

ourc

es

General Trend

Declining ore grades

Oil finds: 1930 to 2050

Page 22: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Nat

ural

Res

ourc

es

Page 23: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Source: Abyd Karmali, Merrill LynchRig

hts

Def

initi

on

Presenter
Presentation Notes
Carbon Monitoring and Markets Effective monitoring of carbon is essential to developing a robust carbon market and the associated services around climate change mitigation and adaptation. A CSIRO model which underpins the Australian National Carbon Accounting System has been chosen to underpin the Global Carbon Monitoring System. Water Monitoring and Futures Trading The water Resources Observation Network is currently being developed between CSIRO and the Bureau of Meteorology. This will increase by an order of magnitude the amount of water information that is available for the delivery of services and establishment of water markets. One such market is water futures trading will enable farmers to more effectively hedge their risk of drought, and promote investment into water infrastructure.
Page 24: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010Tech

nolo

gies

-C

lean

tech Annual Investments in renewable forms of energy

Page 25: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

The

Futu

re?

Page 26: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

1. W

aste

= O

ppor

tuni

ty

Page 27: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 20102. S

ell t

he S

ervi

ce, n

ot th

e pr

oduc

t

Page 28: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 20103. D

igita

l and

Nat

ural

con

verg

e

Presenter
Presentation Notes
Slide 3 CSIRO uses the definition of e-research developed by the National e-Science Centre in the U.K. It’s key features are: large data collections, research enabled by technology, visualisation capability (virtual experimentation) & distributed collaboration. This challenges the traditional research paradigm which is defined by: personally controlled and managed data collections (often manual, & always of a size that an individual research team can manage), manual data and sample gathering, traditional ‘wet science’ tools like test tubes and traditional processes like manual microscopy and manual record taking (as opposed to software driven visualisation and record keeping given all the known parameters with input from other electronic sources such as sensors – the machine to machine science that is currently developing). And traditional science is about progress from experiment to experiment, one at a time. With supercomputers you can process thousands of experiments with slightly differing variables simultaneously. This is how the research and innovation paradigm is changing and how e-research differs from traditional research. Slide 4- Slide 5-
Page 29: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

4. B

its a

re g

loba

l, at

oms

are

loca

l

Page 30: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 20105. If

in d

oubt

look

to n

atur

e

Presenter
Presentation Notes
Slide 3 CSIRO uses the definition of e-research developed by the National e-Science Centre in the U.K. It’s key features are: large data collections, research enabled by technology, visualisation capability (virtual experimentation) & distributed collaboration. This challenges the traditional research paradigm which is defined by: personally controlled and managed data collections (often manual, & always of a size that an individual research team can manage), manual data and sample gathering, traditional ‘wet science’ tools like test tubes and traditional processes like manual microscopy and manual record taking (as opposed to software driven visualisation and record keeping given all the known parameters with input from other electronic sources such as sensors – the machine to machine science that is currently developing). And traditional science is about progress from experiment to experiment, one at a time. With supercomputers you can process thousands of experiments with slightly differing variables simultaneously. This is how the research and innovation paradigm is changing and how e-research differs from traditional research. Slide 4- Slide 5-
Page 31: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

The

Futu

re

Page 32: James Bradfield Moody, RMIT, 26 November, 2010mams.rmit.edu.au/2o0f3g1gmr2w.pdf · James Bradfield Moody, RMIT, 26 November, 2010 Warning: This presentation will contain predictions.

James Bradfield Moody, RMIT, 26 November, 2010

Thank you

James Bradfield Moody

e: [email protected]: http://www.sixthwave.orgf: The Sixth Wavet: @SixthWaveBook