Kim DDDAS 2016 08 11
New Challenges for DDDAS For Broad Societal Impact Sangtae “Sang” Kim Purdue University
August 11, 2016 DDDAS 2016 Hartford, CT
The Top Ten List (from DDDAS 2014) Summary of Top 10 1. Epigenetics - DDDDAS 2. Sensor placement w 3D Printing 3. Fracking 4. Intelligent Supply Chains 5. Social Media 6. Disaster Management 7. Early Tornado Warning 8. Forest Fires 9. Oil Reservoir Management 10. Computational Material Science
2
3. Fracking DDDAS for optimized models. Update from two years ago?
3 Bit Tooth blog
Shale vs. Off-Shore (Ed Morse in FT) Shale Cost:
$5 m
$170 m
Payback:
5 months
five years
Numbers:
many
few
Duration:
few years
many years
Model:
4
Off-Shore (moderate size)
decentralized
centralized
Great synergy with futures market! U.S. capability to cap global crude oil prices! Distinction between micro and macro failures. So what’s the bad news?
Bad News
In round numbers: 50% of U.S. 10 million barrels per day (ceiling price ~$50/bbl). The bad news? Light HCs are stranded. Internet search on: “too much ethane” 5
Distributed-Dynamic: Advantages/Challenges
● etc. ● etc. ● etc.
DDDAS as framework for systems design. Ack.: Center for Innovative and Strategic Transformation of Alkane Resources (F. Ribeiro et al.) 6
1. Epigenetics = DDDDAS Dynamic Data-Driven DNA App. Sys.
7
Keynote – DDDAS 2010 – Arlington, VA
Environment to Gene Expression
Gap is too big – DDDAS as framework?
80k base pairs
Enhancers act even though they are far away (distal) from the gene, because in 3-D the DNA chain loops! A challenge and opportunity for drug discovery. - DDDAS as the framework to organize expts & data? - Insights from epigenetics to advance DDDAS fields?
DNA looping: 3-D
Keynote – DDDAS 2010 – Arlington, VA
Update from two years ago?
Epigenetics (mechanistic) level: • Methylation* • Acetylation
9
*H. Damgacioglu, E. Celik, C. Yuan & N. Celik
Concluding Remarks Two examples with “career scale” challenges (health, energy) DDDAS likely to inject new insights Conversely, help evolve DDDAS Progress = great societal impact
10
August 11, 2016 DDDAS 2016 Hartford, CT
The Top Ten List (from DDDAS 2014) Summary of Top 10 1. Epigenetics - DDDDAS 2. Sensor placement w 3D Printing 3. Fracking 4. Intelligent Supply Chains 5. Social Media 6. Disaster Management 7. Early Tornado Warning 8. Forest Fires 9. Oil Reservoir Management 10. Computational Material Science
2
3. Fracking DDDAS for optimized models. Update from two years ago?
3 Bit Tooth blog
Shale vs. Off-Shore (Ed Morse in FT) Shale Cost:
$5 m
$170 m
Payback:
5 months
five years
Numbers:
many
few
Duration:
few years
many years
Model:
4
Off-Shore (moderate size)
decentralized
centralized
Great synergy with futures market! U.S. capability to cap global crude oil prices! Distinction between micro and macro failures. So what’s the bad news?
Bad News
In round numbers: 50% of U.S. 10 million barrels per day (ceiling price ~$50/bbl). The bad news? Light HCs are stranded. Internet search on: “too much ethane” 5
Distributed-Dynamic: Advantages/Challenges
● etc. ● etc. ● etc.
DDDAS as framework for systems design. Ack.: Center for Innovative and Strategic Transformation of Alkane Resources (F. Ribeiro et al.) 6
1. Epigenetics = DDDDAS Dynamic Data-Driven DNA App. Sys.
7
Keynote – DDDAS 2010 – Arlington, VA
Environment to Gene Expression
Gap is too big – DDDAS as framework?
80k base pairs
Enhancers act even though they are far away (distal) from the gene, because in 3-D the DNA chain loops! A challenge and opportunity for drug discovery. - DDDAS as the framework to organize expts & data? - Insights from epigenetics to advance DDDAS fields?
DNA looping: 3-D
Keynote – DDDAS 2010 – Arlington, VA
Update from two years ago?
Epigenetics (mechanistic) level: • Methylation* • Acetylation
9
*H. Damgacioglu, E. Celik, C. Yuan & N. Celik
Concluding Remarks Two examples with “career scale” challenges (health, energy) DDDAS likely to inject new insights Conversely, help evolve DDDAS Progress = great societal impact
10
