Grand Challenges

1
Grand Challenges

• Robert Moorhead
• Mississippi State University
• Mississippi State, MS 39762
• rjm_at_erc.msstate.edu

2
A Summary from Café

• Application Grand Challenges
• Digital Human (Physiome Project)
• Situational Awareness/Management
• Mapping the Universe
• Health of humanity and the universe
• Intelligent Sensor Fusion
• Change Detection (slow growth, trends, automatic
  detection)
• Business Analytics
• Intelligence Information and Security

My Name, title and AffiliationMy Name, Title, and
Affiliation
3
A Summary from Café

• Application Grand Challenges
• Photoshop for Scientists (explanatory)
• How to see flame fronts and how to see how
  mathematics are progressing
• Reliable Integration Automated Data Analysis
• Explanation of what is going on, something I
  dont understand automatic, self-explanatory
  answers
• Personalization (drug dosage, entertainment,
  information reception)
• Education

My Name, title and AffiliationMy Name, Title, and
Affiliation
4
A Summary from Café

• Visualization Research Challenges
• Multi-Scale
• Large Data
• Multi-modal
• Uncertainity error
• Multi-field, high-dimensional
• Time-varying
• Scalable
• Ontologies interaction

My Name, title and AffiliationMy Name, Title, and
Affiliation
5
A Summary from Café

• Visualization Research Challenges
• Data coordination
• Data collection (data reliability)
• Pro-active and reactive

My Name, title and AffiliationMy Name, Title, and
Affiliation
6
Research Challenges from Sept 2004 workshop

• Quantification of good visual design principles
• Abstraction clarity
• Evaluation
• Visual explanation vs. visual exploration
• Truth uncertainty
• Interaction
• New input / output devices

7
Application Challenges from Sept 2004 workshop

• Digital Human
• From walk-through scanning to personalized
  digital model
• Digital Medical Illustrator
• What if we knew everything? J. Statsko
• Computer Aided Diagnosis

8
Grand Challenges from Sept 2004 Workshop

• Key national visualization investments?
• Digital Human
• Crisis Management, disasters, real time
• Dynamic Data Driven Application Systems (DDDAS)
• Bioinformatics - big data, clear questions, and
  funding
• Software toolkits for a larger number of
  scientists and engineers that scientists really
  use, better user interface
• How do we build and fund better teams (and team
  members get credit for doing so). Collaborative
  visualization
• Better health care
• Accelerating science

9
Far Out Ideas from Sept 2004 Workshop

• Scientific visualization editing tool of the
  future
• Doctor's office of the future - imaging,
  genomics, diagnosis, visualization, simulation,
  etc. - Chris
• Millions of senors on the earth, map the earth's
  environmental status at multiple levels in real
  time - an earth health vis app - Hanspeter

10
CRJs Top Visualization Research Issues

1. Think About the Science
2. Quantify Effectiveness
3. Error and Uncertainty Visual Representation
4. Perceptual Issues
5. Efficiently Using Novel Hardware Architectures,
   including high resolution displays
6. HCI
7. Global/Local Visualization (details within
   context)
8. Integrated PSEs (Pipeline complexity)
9. Multi-field Visualization
10. Integrating Sci and Info Visualization
11. Feature Extraction and Analysis
12. Time Dependent Visualization
13. Scalable, Distributed, and Grid Visualization
14. Visual Abstractions
15. Theory of Visualization