1. Grand Challenges Robert Moorhead Mississippi State University Mississippi State, MS 39762 rjm@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 don’t 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. CRJ’s Top Visualization Research Issues • Think About the Science • Quantify Effectiveness • Error and Uncertainty Visual Representation • Perceptual Issues • Efficiently Using Novel Hardware Architectures, including high resolution displays • HCI • Global/Local Visualization (details within context) • Integrated PSEs (Pipeline complexity) • Multi-field Visualization • Integrating Sci and Info Visualization • Feature Extraction and Analysis • Time Dependent Visualization • Scalable, Distributed, and Grid Visualization • Visual Abstractions • Theory of Visualization