From your FODAVA leadership team after visiting NVAC

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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

Visual analytics is not a static mapVisual analytics is not information retrievalVisual analytics in not data mining

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Visualization and Analytics Centers

Detecting the Expected -- Discovering the UnexpectedTM

RVACUniversity of Washington

RVACPurdue UniversityIndiana Univ.Schoolof Medicine

RVACUniv. of North Carolina Charlotte,Georgia TechBank of America

RVACPenn. State

DHSGVACs

Scholars

Consortium

A Partnership with Academia,Industry, Government LaboratoriesAlaska

NewZealand

Australia

Hawaii

Europe

Canada

PacificRim

Drexel UniversityNY/NJ Port AuthorityEmergency Op Center

NSF

IVAC

RVACStanford

University

IDS-UACUniversity of

Southern California

IDS-UACUniv. of Illinois

IDS-UAC, Rutgers Univ.

IDS-UACUniversity of Pittsburgh

VISUAL COMMUNICATIONNV13: Active Products

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Data IngestPreparation

Data Representions & Transformation

Visual Explorationand Analytics

Dissemination andCollaboration

NATIONAL

REGIONAL

OUTREACH AND EDUCATION

CYBER

ANIMAL AND HUMAN HEALTH

NV6: Law Enforcement

PS16: NeoCities

PD3: Disaster ResponsePD5: Personnel Tracking

PD7: Mobile: Emergency Response

UW3: Medical Supply Analytics

RU4: Law Enforcement, Stat. Graphics

PD11: Zoonotic Disease Spread

PD12: Animal Health

NV11: Assessment Wall

NV10: Electric Power Grids

PS4: FEMARepVIZ

PS8: Health GeoJunction

PD14: Network Flow Security

UG6: JIGSAW, Investigative Analytics

SF5: IRIS Scalable Network Security

UW4: Coast Guard Command VA

UG3: Global Terrorism DB Analytics

UG9: Digital Library

NV1: Consortium

NV2: Conferences

NV4: Education

PD15: Education Initiative

RU11: New Jersey Outreach

RU12: K-12 Education

RU13: Undergraduates

RU14: Summer Reconnect Conf

RU5: Lab for Port Security

IL4: Deep Web Analytics

UC5: E-mail Org and People Analytics

IL7: Monitoring People/Events

IL8: Data Science Summer Inst.

RU1: WEB/Virtual Communities

EVALUATIONNV7: Threat Stream Generator NV8: Evaluation

MATH/SEMANTIC FOUNDATIONSNV3: NSF-FODAVA

NV12: Un/Str Text Analytics

NV18: IN-SPIRE

PS6: TexPlorer

TEXT PS2: Extraction PS3: Fact Extraction

PS5: Context Discovery

IL3: Contextual Text Analytics

PT2: Extraction Opinion

PT3: Information Extraction

UC2: Patterns in Text TEXT

NV9: Semantic Graphs NV16: ProSPECTPS14: SemanticNetSA

PD10: Social NetworksIL5: Streams, link analytics

RU3: Learning Decision Making

RU10: Semantic Graphs

PT1: Opinion/Sentiment Analytics

UC4: Context Based TrustGRAPH AND REASONING

UG2: STAB: Investigative Analytics

UG1: Reasoning Decision Making

GRAPH AND REASONING

RU1: Universal Information Graphs

UC4: Context Based Trust

IMAGE/VIDEO

UG5: Image/Video Theme/Temporal Analytics

PS11: Improvise PS15: ConceptVistaPS13: CiteSpace

PS7: Geo-Info Retrieval

PS12: GeoViz Toolkit

PS1: Geo-Knowledge

GEOSPATIAL

GEOSPATIAL/IMAGE

CYBER SF1: Scalable Transactional Analytics

IL6: Image AnalyticsUC1: Geospatial Multiple Media

PS9: Visual Computation

MULTIMEDIAHETEROGENOUS/IR

UG4: Multimedia Analytics

UG8: ResultMapsSF2: Heterogenous Info Spaces

IL1: Search Paradigms, IR

NV14: Synthesis NV17: Audio

MOBILEPD4: Mobile CCI

PD6: In-Field MobileNV5: SRS-Mobile

SENSOR

RU6: Inspection Algorithms

RU7: Nuclear Sensor Detection

RU9: Entropy Bio-surveillance

TEMPORAL PD13:Temporal Disease Surv.SF3: Scalable Temporal Databases

SF4: Perceptual Efficiency

SIMULATION

UW1: RimSim, SimulationUW2: JITC3, AR responders

DATA BASE

UC3: Information Store

NV15: First LookNV19: UPA

PD1: Data Integration

DATA INGEST

PRIVACYPD2: Privacy and Anonymized Data

RU8: Privacy Preserving Models

Analytic CycleProject Map

Visual AnalyticsCenters and Programs

March 2008 Compendium

NV: NVAC/PNNLPS: Penn StatePD: PurdueSF: StanfordUG: UNCC/GTUW: U. of WashingtonIL: U. of IllinousPT: U. of PittsburgRU: RutgersUS: USC

Key

Projects are listed once, while they often could be in multiple places

Vertical order has no implications e.g. Geospatial supports National Missions

Developed by Jim Thomas 5/12/08

SURVEILLANCE PD8: Surveillance:video

PD9: Smart Video Surv.PS10: Geo NewsWire

FINANCEUG7: Financial Analytics

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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

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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)

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

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ConclusionsVisual Analytics is an opportunity worth consideringPractice of Interdisciplinary Science is requiredBroadly applies to many aspects of society For each of you:

The best is yet to come…

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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, multi-type, dynamic streaming temporal data flows

Data, Information and Knowledge Representation

Collaborative Predictive/Proactive Visual Analytics

Visual Analytic Method Capture and Reuse

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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