VISTA

Visual Insights for Spatiotemporal Analytics

Welcome to VISTA

VISTA (Visual Insights for Spatiotemporal Analytics) is a research initiative dedicated to making complex spatiotemporal prediction models more understandable and transparent through the power of visual analytics. We aim to bridge the gap between cutting-edge AI technologies and their practical applications, empowering users to interpret and trust the decisions made by AI systems.

Why VISTA?

Spatiotemporal prediction models are widely used to tackle challenges across diverse fields, such as:

  • Crime Analysis: Identifying potential hotspots and trends to enhance public safety.
  • Healthcare: Predicting disease outbreaks or tracking patient outcomes over time and space.
  • Urban Planning: Simulating the impact of city developments and environmental changes.

While these models are powerful, their complexity often makes them difficult to interpret. VISTA addresses this by combining interactive visualization tools with advanced data analysis techniques, helping domain experts explore, understand, and leverage AI predictions.

Key Features

  • Interactive Visualizations: Dive deep into the data through dynamic, user-friendly interfaces.
  • Explainability: Gain insights into how and why models make specific predictions.
  • Domain Versatility: Adaptable for use in criminology, healthcare, environmental studies, and more.

Project Highlights

  1. Feature Exploration: Using sensitivity analysis and activation maximization to identify key factors driving predictions.
  2. End-User Empowerment: Designing tools that prioritize usability for non-technical experts.
  3. Multi-Domain Impact: Providing solutions tailored to real-world challenges in multiple sectors.