Celebration of applied computational and industrial mathematics june 12 13th 2014

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Prof. Bronwyn Harch Deputy Director – Research, QUT Institute for Future Environments Adjunct Fellow, CSIRO Computational Informatics

Transcript of Celebration of applied computational and industrial mathematics june 12 13th 2014

Page 1: Celebration of applied computational and industrial mathematics june 12 13th 2014

Prof. Bronwyn HarchDeputy Director – Research, QUT Institute for Future EnvironmentsAdjunct Fellow, CSIRO Computational Informatics

Page 2: Celebration of applied computational and industrial mathematics june 12 13th 2014

Prof. Bronwyn HarchDeputy Director – Research, QUT Institute for Future EnvironmentsAdjunct Fellow, CSIRO Computational Informatics

Achieving Impact from Applied,

Computational & Industrial Mathematics

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1. Reflections and perceptions on

▪ evolving modes of collaboration

▪ “mathematical” sciences and collaboration

2. Current challenges …

3. A recent response…

▪ revolution through evolution…

▪ learnings and predictions

4. Personal evolutions… the “Frank effect”

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• … you need “street smarts” to create & work in entwined collaborations…. • multidisciplinary science is an ecosystem, not a battlefield• embracing diversity of view and being inclusive

serial management

parallel co-operation

entwined collaboration

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health

agriculture

defence

manufacturing

environment

services

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1. Productivity Performance

0

5

10

15

20

25

30

35

40

45

1970 1980 1990 2000 2010 2020 2030 2040 2050

Glo

bal F

ood

Dem

and

(Pet

acal

/day

)

Year

Reducing the

Demand

Filling the Production

Demand

Avoiding losses of

productive capacity

Global Food Demand

calories/day (x1015)

Me

asu

re o

f P

rod

uct

ivit

y

Adapted from Keating (Pers. Comms.)

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2. Competitive, Value Added Products & Services to the Global Market

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3. Ability to foster collaboration & connection for addressing significant global challenges

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3. Research challenge for ACIM?

An emerging response…

Transformation of information & decision making workflows

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Challenge for ACIM? Transformation of info & decision making workflows

InputsMagic

Happens Outputs

A

B

C

D

E

F

G

H

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Designing for Data Generation & Capture

Data Generation, Communications & Capture

Integration of Data & Modelling

Implementation

Monitoring & evaluation

Storage, Discovery, Communications, Access

Decision Making Under Uncertainty

Gaining Insights & Understanding

Information & Decision Making

Value Chain

Research DevelopmentDemonstration

Deployment

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Sharing Outcomes from Joint CMIS-ICTC Workshop - April 0

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Automated monitoring of water quality and lake surrounds

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Condition reporting for Great Barrier Reef

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Soils and Landscapes Aust Soil Resources

Information System (ASRIS)

Aust Collaborative Land Evaluation Program (ACLEP)

National Soils Archive

Aust Soil and Landscape Grid

Carbon Accounts National Carbon Accounting System

(NCAS) - land use and vegetation layers

Inputs to NCAS models (FULLCAM) and CFI methods

Vegetation VegNet

Vegmachine

Pastures from Space

National Biomass sensing system

Farming systems models Agricultural Production Systems

Simulator (APSIM)

GRASSGRO, GRAZPLAN

3PG, CABALA

“One-CSIRO” interoperable model platforms

Multi-level delivery systems (eg. apps)

Life Cycle Assessment methods Water footprints

C footprints

LUTO – integrated land use tradeoff system

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Specific impacts…

•Government, Industry and Innovation sectors are identifying improved practices/technologies for their information workflows

•Government, Industry and Innovation sectors are better able to respond to emerging needs and opportunities

•Policy development & implementation is supported by robust information assets and collaborative dialogue engaging stakeholders

•Community decision making and debates are collaborative and better informed

•National research capacity in information sciences is strengthened to a critical mass that meets challenges and realises opportunities

•“Science” is contributing to and benefiting from the global research effort

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Research cultures Multidisciplinary, diverse, inclusive

Innovation environment

Accessing “best in class” capability

Business models services sector

data as markets

tba…

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