Investigative Analysis and Decision Making Environments

Investigative Analytics and Decision Making Environments integrates scientific expertise in cognitive science like human perception with complementary scientific expertise in visual analytics, information visualization, geographic information science, statistics, database systems, semantic web, information retrieval, and computational science. This research pillar uses an interdisciplinary approach which is essential to make the fundamental science, technology, and applications advances required to meet DHS needs.

Integrate Automated Analytical Reasoning into Jigsaw

Enhance Jigsaw to provide the analyst with automated reasoning, built-in analytical capabilities and the ability to suggest hypotheses in addition to the visual analytical abilities of Jigsaw.

Georgia Tech: Stasko

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Introducing Sustainable Visual Analytics into Command Center Environments

This project focuses on developing a framework for introducing sustainable visual analytics systems into command center environments.

University of Washington: Haselkorn, Dailey / Purdue: Ebert, Collins

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Coast Guard Search and Rescue Visual Analytics

This risk analysis system enables the interactive visualization, analysis and assessment of United States Coast Guard Search and Rescue missions.

Purdue: Ebert

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Visual Analytics Law Enforcement Toolkit (VALET)

This project allows enhanced exploration and analysis of multivariate spatiotemporal law enforcement data to enable advanced data exploration and analysis of high volume criminal, traffic and civil incidence report data.

Purdue: Ebert, Collins

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Visual Analytics for Security Applications (VASA)

This project provides VASA, a visual analytics platform consisting of a desktop application, a component model, and a suite of distributed simulation components for modeling the impact of societal threats such as weather, food contamination, and traffic on critical infrastructure such as supply chains, road networks, and power grids.

Purdue: Ebert / University of North Carolina at Charlotte (UNCC): Ribarsky / University of Minnesota (UMN): Kennedy | University of Texas at Austin: Gaither

Flight Delay Visualization (FlightVis)

This project provides a visual analytics environment enabling users to explore multivariate spatial node-link data (e.g., flight delay data) with novel visual representations (Petals and Threads) and an anomaly detection algorithm.

Purdue: Ebert / University of Oxford: Chen / Sejong University: Yun Jang

Visual Analytics for Investigative Analysis on Text Documents

Development of a tool for automated investigative analysis on vast collections of documents which will help law enforcement agencies in detecting embedded plots or threats.

Penn State: MacEachren, Mitra / Georgia Tech: Stasko / SFU: Fisher

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Context-aware Mobile Visual Analytics for Emergency Response

This tool provides emergency personnel with context aware visualized data obtained from heterogeneous sources on mobile devices.

Purdue: Ebert, Delp / Stuttgart: Ertl, Weiskopf

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