From your FODAVA leadership team after visiting NVAC That visualization and data analysis are not by themselves the final result or the purpose of VA, but rather it is an integrated part of iterative analytic process The most interesting parts were the interplay between the analysts and the tool builders, which made it clear that neither the data analytics part, nor the viz part, could do it alone… So data and visual analytics is not just a disjoint union of data analytics and visualization. Rather it involves an iterative and interaction process of computer reasoning and visualization based on human reasoning We think the three words, “Iterative, Interactive, and Integrative are important”. I would like to add Engaging, Enlightening, and Expressive 1 Visual analytics is not a static map Visual analytics is not information retrieval Visual analytics in not data mining 2 Visualization and Analytics Centers Alaska Pacific Rim Hawaii Canada RVAC A Partnership with Academia, Industry, Government Laboratories University of Washington RVAC Penn. State Drexel University NY/NJ Port Authority Emergency Op Center Consortium Scholars IVAC IDS-UAC IDS-UAC Univ. of Illinois University of Pittsburgh Europe Australia RVAC Stanford University New Zealand IDS-UAC, Rutgers Univ. GVACs DHS NSF RVAC IDS-UAC University of Southern California Detecting the Expected -Discovering the UnexpectedTM Purdue University Indiana Univ. School of Medicine RVAC Univ. of North Carolina Charlotte, Georgia Tech Bank of America 3 Analytic Cycle Project Map Visual Analytics Centers and Programs March 2008 Compendium SIMULATION UW2: JITC3, AR responders UW1: RimSim, Simulation Key NV: NVAC/PNNL PS: Penn State PD: Purdue SF: Stanford UG: UNCC/GT UW: U. of Washington IL: U. of Illinous PT: U. of Pittsburg RU: Rutgers US: USC DATA BASE TEMPORAL UC3: Information Store FINANCE UG7: Financial Analytics PD13:Temporal Disease Surv. SF3: Scalable Temporal Databases SENSOR SURVEILLANCE PD8: Surveillance:video PD9: Smart Video Surv. PS10: Geo NewsWire MOBILE RU7: Nuclear Sensor Detection RU6: Inspection Algorithms RU9: Entropy Bio-surveillance PD4: Mobile CCI NV5: SRS-Mobile PD6: In-Field Mobile ANIMAL AND HUMAN HEALTH Projects are listed once, while they often could be in multiple places Vertical order has no implications e.g. Geospatial supports National Missions MULTIMEDIA HETEROGENOUS/IR NV17: Audio NV14: Synthesis PD11: Zoonotic Disease Spread UG8: ResultMaps SF2: Heterogenous Info Spaces IL1: Search Paradigms, IR CYBER IL4: Deep Web Analytics RU1: WEB/Virtual Communities SF1: Scalable Transactional Analytics GEOSPATIAL GEOSPATIAL/IMAGE PD12: Animal Health PS8: Health GeoJunction UG4: Multimedia Analytics CYBER PS12: GeoViz Toolkit PS11: Improvise PS13: CiteSpace PS9: Visual Computation PS1: Geo-Knowledge IL6: Image Analytics UC1: Geospatial Multiple Media IMAGE/VIDEO SF5: IRIS Scalable Network Security PD14: Network Flow Security PS15: ConceptVista PS7: Geo-Info Retrieval OUTREACH AND EDUCATION NV4: Education RU11: New Jersey Outreach NV1: Consortium RU12: K-12 Education GRAPH AND REASONING UG5: Image/Video Theme/Temporal Analytics PD15: Education Initiative SF4: Perceptual Efficiency RU13: Undergraduates RU10: Semantic Graphs RU5: Lab for Port Security RU3: Learning Decision Making UG9: Digital Library GRAPH AND REASONING RU14: Summer Reconnect Conf UC4: Context Based Trust UG1: Reasoning Decision Making IL8: Data Science Summer Inst. NV2: Conferences PD10: Social Networks NV9: Semantic Graphs NV16: ProSPECT IL5: Streams, link analytics PS14: SemanticNetSA UC5: E-mail Org and People Analytics PRIVACY UG2: STAB: Investigative Analytics RU1: Universal Information Graphs TEXT PS2: Extraction PS3: Fact Extraction PD2: Privacy and Anonymized Data PT2: Extraction Opinion PS5: Context Discovery RU8: Privacy Preserving Models IL3: Contextual Text Analytics UC2: Patterns in Text UC4: Context Based Trust PT3: Information Extraction PT1: Opinion/Sentiment Analytics DATA INGEST NV15: First Look NV19: UPA EVALUATION PD1: Data Integration NV7: Threat Stream Generator VISUAL COMMUNICATION NV13: Active Products TEXT PS6: TexPlorer REGIONAL NV6: Law Enforcement PS16: NeoCities UW3: Medical Supply Analytics PD5: Personnel Tracking PD3: Disaster Response RU4: Law Enforcement, Stat. Graphics PD7: Mobile: Emergency Response UW4: Coast Guard Command VA UG6: JIGSAW, Investigative Analytics NV12: Un/Str Text Analytics NATIONAL PS4: FEMARepVIZ NV11: Assessment Wall NV8: Evaluation IL7: Monitoring People/Events UG3: Global Terrorism DB Analytics NV10: Electric Power Grids MATH/SEMANTIC FOUNDATIONS NV18: IN-SPIRE NV3: NSF-FODAVA Data Ingest Preparation Data Representions & Transformation Visual Exploration and Analytics Dissemination and Collaboration Developed by Jim Thomas 5/12/08 4 Spring/Fall Consortium and IEEE VAST 2008 • Spring VAC Consortium: May 21-22, 2008 at APL, JHU ---- Fall Nov 12, 13 in Richland Washington • IEEE Symposium on Visual Analytics Science and Technology (VAST) 2008 • http://conferences.computer.org/vast/vast2008/ • Columbus Ohio • Oct 19-24, 2008 5 NSF Partnership MOU signed between DHS and NSF July 23, 2007 5 year agreement to forward basic science in visual analytics Larry Rosenblum, Leader of NSF Management Team (Sankar Basu, Ephraim Glinnert, Leland Jamison, Tie Luo, Larry Rosenblum, Maria Zemakova) 6 Workshop Wednesday Sept. 17, 2008 0800 – 0900 Breakfast 0900 – 0945 FODAVA-Lead: Missions and Plans, Haesun Park (Georgia Tech) 0945 – 1130 Grand Tour Visual Analytics (Thomas) with Demo IEEE VAST student competition winner and discussion topic: refining Visual Analytics Methods 1130 – 1245 Lunch (Klaus Building 1116) 1245 – 14:15 The Depth and Breadth of Visual Analytics (Ebert) with discussion topic: Where can we have the most impact? 14:15 - 1545 Tools for Analytical Thinking about Complex Problems (Rbarasky):, with discussion topic Developing analytic tools and methods for real applications 1545 – 1600 Concluding Remarks 1600 Adjourn 7 Conclusions Visual Analytics is an opportunity worth considering Practice of Interdisciplinary Science is required Broadly applies to many aspects of society For each of you: The best is yet to come… 8 Top Ten Challenges within Visual Analytics Human Information Discourse for Discovery—new interaction paradigm based around cognitive aspects of critical thinking New visual paradigms that deal with scale, multitype, dynamic streaming temporal data flows Data, Information and Knowledge Representation Collaborative Predictive/Proactive Visual Analytics Visual Analytic Method Capture and Reuse 9 Top Ten Challenges within Visual Analytics Dissemination and Communication Visual Temporal Analytics Validation/verification with test datasets openly available Delivering short-term products while keeping the long view Interoperability interfaces and standards: multiple VAC suites of tools 10
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