Visually-Adapted Analytical TechniquesVisually-Adapted Analytical Techniques deals with developing algorithms that focus on leveraging the individual and collective expertise of the 2.3 million DHS personnel by scaling the cognitive effort of the user, thus helping them perform their tasks in a more effective and efficient manner. The analytical algorithms are designed from the start to take into consideration the user, the task, the display, the device and the environment. All of these factors drive the design of the analysis algorithm.
Mission Driven Research Projects(MDRPs):
Visual Analytics for Investigative Analysis on Text DocumentsDevelopment 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
Situation Surveillance & In-field Criminal Investigative AnalyticsDevelop an exploratory visual analytic mapping method to support criminal investigative analytics by processing large geographically referenced data, then searching for events of interest.
Purdue: Ebert, Boutin, Delp, Cleveland / Penn State: MacEachren, Hardisty / Virginia Tech: Barrett, Eubank, Marathe / Rutgers: Roberts
Cybersecurity Visual AnalyticsDevelop a tool to visualize logged network traffic and automating analytical tasks to identify agents behind cyber attacks.
Stanford: Hanrahan, Gerth /Purdue: Cleveland
Video Surveillance Visual AnalyticsThis system automatically examines surveillance video for behavioral signs of threats by observing patterns of movement and other telltale signs exhibited by people.
Purdue: Delp / UNCC: Fan, Ribarsky / SFU: Fisher
Financial Visual AnalyticsThis system helps the user to analyze large collections of financial data and spot money laundering or fraudulent financing with the help of visual analytics.
UNCC: Kosara, Ribarsky / Purdue: Elmqvist
Foreign Animal and Zoonotic Disease Visual AnalyticsThis project focuses on applying new exploratory visual analytics methods for spatial, space-time foreign animal and zoonotic disease data which will lead us to better disease outbreak prediction.
Purdue: Ebert, Cleveland / Penn State: Hardisty, MacEachren
GeoJunction: Collaborative Visual-Computational Information Foraging and Contextualization to Support Situation AwarenessThis project focuses on developing a tool which helps its users to search and contextualize place-time aware data to support situation awareness and interpret evidence and make decisions in a continually changing environment.
Penn State: MacEachren, Mitra / USC: Hovy
Multimedia Visual Analytics for Investigative AnalysisThis tool intelligently categorizes multimedia content like videos, images or documents from different sources for homeland security applications and helps analysts forage through the organized data.
UNCC: Fan, Ribarsky / Purdue: Delp
Study of Terrorism and Responses to Terrorism (START) Center Visual AnalyticsHaving collect large amounts of data on terrorism and terrorism response at the START Center, the Visual Analytics component proposes to refine and explore the data by analyzing it visually.
Purdue: Ebert, Elmqvist / UNCC: Kosara / START: Smarick / Rutgers: Roberts, Pottenger
Visual Analytics for the DHS Center of Excellence ProjectsLeverage visual analytics to create an interactive visual database of all research and educational material produced by the Centers for exposure to the scientific community, government agencies and the general public.
Purdue: Elmqvist, Ebert / GeorgiaTech: Stasko / SFU: Dill / Rutgers: Roberts / USC: Hovy / UIUC: Roth
VACCINE is dedicated to creating methods and tools to analyze and manage vast amounts of information for all mission areas of homeland security.
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Featured VACCINE Student
Silvia Oliveros-Torres is a master's student in computer engineering graduating in May 2013.
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