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Predictive Interactive Visual Analytics for CCI: Planning, Response, and Resiliency

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SFU, JIBC UBC Ind U Navajo Tech UW Stanford GaTech FIU JSU UT UHD Austin U Stuttgart VaTech NC UNCC A&T Penn St. Swansea U Purdue

Predictive Interactive Visual Analytics for CCI:

Planning, Response, and Resiliency

(2)

VACCINE Mission

Provide

visual analytic and scalable

solutions for all

2.3 million

extended homeland security personnel

• 185,000 DHS personnel, 350,000 law enforcement personnel,

750,000 homeland security practitioners, 2.3 million extended personnel

Achieve

excellence in visual

analytics and visualization sciences

Educate

homeland security

stakeholders and the next generation of talent

(3)

Research Approach and Plan

• Evolving, effective, and enduring research by tight integration with stakeholders

• Driven by our stakeholders – all 2.3 million extended public and private homeland security professionals • Visual Analytics

•Interactive visual/cognitive analytic environments based on novel research in visual analytics,

algorithms, information transformation, cognitive and interaction science,

creating precise information environments

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Some VACCINE Regional and

Corporate Partners

• Indiana Department of Homeland Security

• Indiana State Department of Health

• Indianapolis Public Safety

• Charlotte Mecklenburg Police Department

• Lafayette, West Lafayette, Purdue Police Departments

• Tippecanoe County EMA & Sherriff’s Department

• Harrisburg, PA Police

• Coast Guard Sector Boston, Seattle, LA

• Joint Harbor Operations Command Center

• Port of Seattle

• Indianapolis Public Safety

• USCG District 9

• Motorola

• Harris Corporation

• Boeing

• Next Wave Systems, LLC

• Banfield, The Pet Hospital

• Raytheon

• MacDonald, Dettwiler and Associates

• Oculus Info Inc.

• Kx Systems

• Bank of America

• Duke Energy

• World Vision International

• Gates Foundation

• Kimberly Clark

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VACCINE Government Partners

• U.S. Coast Guard

• Federal Emergency Management

Agency

• Customs and Border Patrol

• National Geospatial Intelligence Agency

• National Science Foundation

• Army Research Office

• Department of Defense

• Department of Health and Human Services

• U.S. Dept. of State

• National Institute of Justice

• National Maritime Intelligence Center

• Defence Research & Development Canada

• Foreign Broadcast Information Service

• US-CERT

• Oak Ridge National Laboratories

• US Army Corps of Engineers-ERDC

• Pacific Northwest National Laboratory

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What We Do

•Enable effective decision making through interactive visual analytic environments

•Enable effective communication of information

•Provide quantitative, reliable, reproducible evidence

•Enable user to be more effective from planning to detection to response to recovery

(7)

Example of Visual Analytics for Strategic

Planning, Risk Management, and Recovery

• Trend analysis, clustering, anomaly detection

• Interactive, multi-day, month, day, type investigation

• Purpose:

• Planning for resiliency

• Long-term analysis

• Predictive analytics

• Training

• Detection and investigation

• Response

(8)

Example: USCG D9 Search

And Rescue Operational Analysis

• Interactive visual analytics of multivariate

performance metrics for each unit’s activities

• Interactive linked spatial temporal display, calendar view, and timeline views

(9)

System Overview

Time Slider

Distress Menu Time Series View

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System Features: SAR Risk Profile

Time taken by CG stations to deploy an asset to the Great Lakes to respond to a SAR incident.

(11)

Risk Assessment Scenario

Parent Station A Station X

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Risk Assessment Scenario – contd.

Close AUXOP Station X

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Risk Assessment Scenario – contd.

Median time = 92 min.

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Risk Assessment Scenario – contd.

Median time = 110 min.!

16 cases take >120 min.

4 cases take >120 min.

If only parent station absorbs station X’s cases

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Risk Assessment Scenario – contd.

(17)

Risk Assessment Scenario – contd.

Average response time risk profile when station X is closed

Hotspot emerges in the area of operation of Station X

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Visual Analytics Uses

for Public Safety

• Trend analysis, clustering, anomaly detection

• Interactive, multi-day, month, day, type investigation

• Purpose:

• Planning for resiliency

• Long-term analysis • Predictive analytics • Training • Detection • Investigation • Response • Recovery, remediation

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VACCINE Public Safety Consortium

VACCINE R&D DHS S&T Indianapolis Metropolitan Police Department Tippecanoe County Sheriff’s Department Indianapolis Department of Homeland Security Lafayette Fire Department Indianapolis Fire Department West Lafayette Police Lafayette Police Department Pending – Ohio State U. Police, U. Nebraska Police Purdue Police Department Tippecanoe County Emergency Management Agency Transition

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VALET - Visual Analytics Law Enforcement Toolkit

• Deployed for Test & Evaluation Feedback - 2010

• Lafayette PD, W. Lafayette PD, Purdue PD, Tippecanoe County Sheriff

GARI - Gang Graffiti Automatic Recognition and Interpretation

• Initial Prototype Deployment Scheduled May 2011

• Indianapolis Gang Task Force, Lafayette PD, Purdue PD

CGSaRVA - Coast Guard Search and Rescue Visual Analytics

• Deployed for Operational Use – USCG LANT - 2010

MERGE - Mobile Emergency Response Guide

• Initial Prototype Deployment Scheduled May 2011

• Indianapolis Fire, Lafayette Fire

Ulearning (Captico)- Training portal for S&T and COE Technologies

• Deployed for Test & Evaluation Feedback - March 2011

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JigSaw – VA for Exploring and Understanding Document Collections (Georgia Tech)

• Deployed for Test & Evaluation Feedback Dec - 2010

• Indianapolis PD,

PROTECT - Port Resilience Operational / Tactical Enforcement to Combat Terrorism

• Collaboration with CREATE

• Prototype July 26, 2011

COE Explorer – Exploring the Centers of Excellence (Purdue, SFU)

• Collaboration with CCICADA

CrimeViz - Sensemaking about criminal activity in space and time (Penn St)

• Testing in progress with Harrisburg PD

• Prototype deployment planned for Q2 2011 Harrisburg PD, JIBC

ISIS - Infovis System for Investigating Intrusions (Stanford)

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Some Visual Analytic Examples

• Integrated predictive models and decision making

• Spatiotemporal visual analytics

• Predictive visual analytics

• Public health and pandemics

• Realtime plume decision support

(23)

Example Decision Analysis Linked

Displays – Example with 3 Decisions

Differences from each decision

Interactive exploration and combination of decisions

(24)

Scalable Visual Analytics

for Law Enforcement

VALET Toolkit

• Linked statistical and spatial visualization for

analysis

• Scalable from desktops to mobile devices for

off-field and in-field investigation

• Compare datasets for potential correlations

Datasets:

• West Lafayette – crime, traffic

• Tippecanoe County – arrests, incidents

Partners: WLPD, LPD, TCSD

Team: Purdue, UNCC, Rutgers, PSU

(25)

Visual Analytics Law Enforcement Toolkit

(VALET)-

Tippecanoe County Example

Day vs. Night Thefts

2008 (red) vs. 2007 (blue background) Aggravated Theft

(26)

We Have an App For That!

Our Mobile Tools

• VALET

• Evacuation Planning

• Rosetta Phone

• Hazmat app

• Gang graffiti app

(27)

For Further Information

www.VisualAnalytics-CCI.org

[email protected] [email protected]

References

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