FODAVA-Lead Education, Community Building, and Research: Dimension Reduction and Data Reduction: Foundations for Interac

1. FODAVA-Lead Education, Community Building, and Research:Dimension Reduction and Data Reduction:Foundations for Interactive Visualization Haesun Park and Guy Lebanon School of Computational Science and Engineering Georgia Institute of Technology FODAVA Review Meeting, Dec. 9, 2010

2. FODAVA-Lead PIs at GAtech Alex Gray Associate Director CSE Machine Learning Fast Algorithms for Massive DA Industry Relations Haesun Park Director CSE, Associate Chair Numerical Computing Data Analysis Research FODAVA Community Building John Stasko Associate Director IC, Associate Chair Information Vis. Collaboration with NVAC and DHS/CoE Liaison with Vis. community Renato Monteiro ISyE Continuous Optimization Statistical Computing Vladimir Koltchinskii Mathematics Machine Learning Theory Computational Statistics

3. FODAVA-Lead Senior Personnel James Foley Graphics and Visualization, HCI Visual Analytics Digital Library Guy Lebanon Associate Director CSE Machine Learning Computational Statistics Education Arkadi Nemirovski ISyE Optimization Non-parametric Stat. Richard Fujimoto Associate Director CSE, Chair Modeling and Simulation Education and Outreach Alexander Shapiro ISyE Stochastic Programming Optimization Multivariate Stat. Analysis Hongyuan Zha CSE Numerical Computing Data Analysis Director of Graduate Studies Hao-Min Zhou Mathematics Wavelet and PDE Image Processing Santosh Vempala CS Theory of Computig Director of ARC

4. FODAVA-Lead Mission • Research:Serve as a central facility to involve all FODAVA awardees in a common effort to develop the scientific foundations for data and visual analytics • Education: Facilitate the development of a body of knowledge, curricula, and education programs to establish and build DAVA workforce • Community Building: • Integrate diverse DAVA communities and reach out for broader participation • Serve as a liaison between FODAVA researchers and NVAC, DHS Centers of Excellence

5. Data and Visual Analytics Education Workshop: • Aug. 30, 2010, University of Maryland, College Park • Organizers: John Stasko, Haesun Park, Richard Fujimoto, Guy Lebanon (Georgia Tech); David Ebert, Marti Burns, Tim Collins (Purdue); Georges Grinstein (U. Mass); Richard May and Kris Cook (PNNL) • Continued series of workshops e.g., VAST (Oct 2008), Georgia Tech (Dec 2008) • Focus on experiences in visual analytics course and curriculum development • Identified major topics in DAVA education programs • Collaboration with NVAC, DHS Centers of Excellence • Identified best practices and needs • Sample course syllabi and curriculum • Refined DAVA body of knowledge • Resources, syllabi, and discussion available on vacommunity.org website • (http://www.vacommunity.org) FODAVA Curriculum Development and Education • Development of a Course on Data and Visual Analytics on the interface between data analysis and information visualization • Emphasis on practical methods and case studies • Development of Cluster of Core Graduate Courses in DAVA: • Data and Visual Analytics • Computational Data Analytics • Information Visualization

6. FODAVA Curriculum Development and Education • Dissemination of homework assignments, exams, lecture notes, demonstrations, etc. via an online blog on data and visual analytics http://smlv.cc.gatech.edu/dava/ • Working with IEEE CIS Task Force on Data Visualization and Data Analysis to disseminate visual analytics techniques and education to the machine learning and data mining communities http://www2.in.tu-clausthal.de/~hammer/DVA/ • Workshop on 'Challenges of Data Visualization' at NIPS 2010 http://cseweb.ucsd.edu/~lvdmaaten/workshops/nips2010/ • Special session on 'Perspectives of Dimensionality Reduction and Visual Analytics' at CIDM 2011 • Workshop on 'High-dimensional data visualization' at ICCS

7. FODAVA Outreach Program • GT CRUISE Program (Computing Research Undergraduate Intern Summer Experience) • Encourage students to consider graduate studies • Diverse student participation • Multicultural, emphasizing minorities, women • U.S. and international students • Ten week summer research projects • Interdisciplinary individual and group projects and CRUISE-wide events • Weekly seminars (technical, grad studies) • Symposium: conference-style presentations • Participation in VAST Challenge Competitions • VAST Challenge 2009 participation resulted in one award • VAST Challenge 2010 Participation resulted in two awards

8. DAVA Community Development Visualization Community • Extreme Scale Visual Analytics Workshop, IEEE VisWeek, Salt Lake City, October 24, 2010 ( D. Ebert, G. Lebanon, P. McCormick, H. Park, H. Pfister, and L. Wilkinson) • Invited talks by A. Gray, L. Wilkinson, W. Cleveland, M. Maggioni • Extremely high dimensional data • Real time, scalable computational methods • Programming support • Parallel and High Performance Computing • Speedup and accuracy tradeoffs • Fundamental limits and theory • Execution on computationally limited platforms • Tutorial on Machine Learning for Information Visualization, IEEE VisWeek, Salt Lake City, October 24, 2010 (G. Lebanon, F. Sha) • Participation in NVAC Consortium Meetings, November 2008, August 2009, August 2010 • Forum on Geometric Aspects of Machine Learning and Visual Analytics: Recent Developments and Future Challenges, IEEE VisWeek, Atlantic City, October 11-12, 2009 (M. Maggioni, V. Koltchinskii, A. Varshney, H. Park) • Birds-of-Feather Session, VAST Conference, Columbus Ohio, October 2008 (K. Cook, K. Ma, and H. Park)

9. Additional IEEE VisWeek 2010 Activities • Papers • Z. Liu, J. Stasko, “Mental Models, Visual Reasoning and Interaction in Information Visualization: A Top-down Perspect,” InfoVis, 2010. • Z. Liu, J. Stasko, “The Role of Theory in Information Visualization"   Theories in Information Visualization: What, Why and How, InfoVis Workshop, 2010. • J. Choo, H. Lee, J. Kihm, H. Park, “iVisClassifier: An Interactive Visual Analytics System for Classification Based on Supervised Dimension Reduction,” IEEE VAST 2010. • Posters • R. Basole, M. Hu, P. Patel, J. Stasko, Visualizing Converging Business Ecosystems for Competitive   Intelligence, InfoVis 2010. • Panel • Challenges in Visualizing Biological Data: N. Gehlenborg, C. Gorg, M. Meyer, C. Nielsen, InfoVis 2010. • VAST Challenge Competition: Two Awards • Good Support for Data Ingest: Data Ingestion and Evidence Marshalling in Jigsaw (Z. Liu, C. Gorg, J. Kihm, H. Lee, J. Cho, H. Park, J. Stasko) • Excellent Process Explanation: GeneTracer: Gene Sequence Analysis of Disease Mutations      (H. Lee, J. Choo, C. Gorg, J. Shim, J. Kihm, Z. Liu, H. Park, J. Stasko) • Doctoral Colloquium: 2 students participated • Conference Organization • Infoviz Program Committee: Edward Clarkson, Carsten Gorg, John Stasko • InfoViz Steering Committee, VizWeek Executive Committ: John Stasko • IEEE VAST Program Committee: Haesun Park

10. DAVA Community Development Data Analysis Community • Statistical Machine Learning for Visual Analytics, NIPS Conference, Vancouver, B.C., Canada, December 11, 2009 (G. Lebanon and F. Sha) • Text visualization, compression counting • Visualization using probabilistic models • Manifold learning, networks and hyper-graphs • Dimension reduction, visual analytics for audio • Large-Scale Machine Learning: Parallelism and Massive Datasets, NIPS Conference, Vancouver, B.C., Canada, December 11, 2009 (C. Guestrin, A. Gray, A. Smola, A. Gretton, J. Gonzalez • Multicore / Cluster based Learning Techniques • Machine Learning on Alternative Hardware (GPUs, Cell Processor, FPGAs, iPhone, ...) • Distributed Learning • Learning results and techniques on Massive Datasets • Large Scale Kernel Methods • Fast Online Algorithms for Large Data Sets • Parallel Computing Tools and Libraries FODAVA Kickoff and Annual Meetings, September 2008, December 2009, December 2010

11. Additional Activities by FODAVA Team Members • IEEE VisWeek 2010 Poster Session: "Exploration & Representation of Data with Geometric Wavelets” (Eric E Monson, Rachael Brady, Guangliang Chen & Mauro Maggioni) • VAC Consortium Meeting Poster/Demo Session ” (Eric E Monson, Rachael Brady, Guangliang Chen & Mauro Maggioni) • Invited lecture at IEEE VisWeek 2010 workshop (Mauro Maggioni) • A talk at the VAC Consortium 2009 (Mark Hasegawa-Johnson) • 2010 Modern Massive Data Set Workshop at Stanford (Ping Li) • Structure Discovery in 3-D Point-Cloud Data. Industrial Light and Magic, San Francisco, September 2009. (Guibas) • Sensing Mobile Objects and Applications, NTT Laboratories, Kyoto, Japan, October 2009 (Guibas) • Structure Discovery in 3-D Geometry, SIAM/ACM Joint Conf. Geometric and Physical Modeling. San Francisco, October 2009. Also, at KAUST, Jeddah, Saudi Arabia, March 2010. (Guibas) • Image Webs, A9 (Amazon) Research, Palo Alto, November 2009. (Guibas) • The Information is in the Maps, Google, Mountain View, December 2009. Also, at Microsoft Asia Research Center, Beijing, China, May 2010. Also at Qualcomm Research, Santa Clara, July 2010. Also, at INRIA, Sophia-Antipolis, France, August 2010. (Guibas) • Information Dissemination and Cross-Correlation under Mobility, Army Research Labs, Adelphi, MD, April 2010. (Guibas) • Voronoi Diagrams in Geometry Processing and Network Routing, International Symposium on Voronoi Diagrams in Science and Engineering, Quebec City, Canada, June 2010. (Guibas) • The Structure of Isometric Maps and Symmetries, EPFL Bernoulli Symposium, Lausanne, Switzerland, August 2010. (Guibas) • Invited session organized by J. Li in Joint Statistical Meetings (JSM), Vancouver, Canada, July 2010:  Statistical Modeling and Learning for Information Visualization and Dimension Reduction (Jia Li) • “Mode Based Clustering with Applications to Information Visualization,” J. Li, X. Zhang, Penn State University (Jia Li) • Panel of Visualization and Rich Data Sets in the Annual Workshop of Human-Computer Interaction Consortium, February, 2010 (Jia Li) • Panel Presentation: Interactive Visualization of Large Data Sets: Challenges and Some Preliminary Answers (Jia Li) • An invited talk at NIPS 2010 workshop on Challenges of Data Visualization (Getoor) • An invited talk at NIPS 2010 workshop on Networks Across Disciplines: Theory and Applications (Getoor) • Invited talks at International Conference on Data Analysis (May 2010), NEH/IPAM Institute on Networks for the Humanities (Aug 2010), and organized 2010 KDD Workshop on Mining and Learning from Graphs (Getoor) • Organized NSF III PI Meeting (April 2010) (Singh and Getoor) • Gave tutorials on Exploting Statistical and Relational Information on the Web and in Social Media: Applications, Techniques, and New Frontiers AAAI10 and will be giving tutorials at WSM 2011 and SDM 2011 (Getoor) • Birds-of-a-Feather session at VisWeek 2010: Scalable Interactive Visualizations for Visual Analytics (Ted Selker and Ole J. Mengshoel)

12. FODAVA Distinguished Lecture Series • Lecture series featuring leaders in the DAVA community • Develop in collaboration with FODAVA partners and NVAC • Web-cast • 2010 FODAVA DLS: • William Ribarsky, ”Developing a Visual Analytics Approach to Analytic Problem Solving” February 26, 2010 • Leeland Wilkensen, “The Mathematical Foundation of Analytical Visualization” April 2, 2010 • Jim Thomas, “Three I’s of Visual Analytics for FODAVA Teams: Interdisciplinary, International, Immediacy” April 16, 2010 • 2009 FODAVA DLS: • Alan Turner, William Cleveland, Joseph Kielman, Alexey Chervonenkis, Vladimir Vapnik

13. FODAVA Website http://fodava.gatech.edu • Information on FODAVA Projects • Dissemination of FODAVA results to communities: • FODAVA Tech Report Series • Repository of Data Sets • FODAVA meetings/lecture/DLS materials • DAVA community events and meeting information • Blog on DAVA Taxonomy and course material