Title: Scientific Data Management and Visualization to Advance AI for Science
UIC PI: Luc Renambot
Sponsor: Argonne National Laboratory, Department of Energy
Dates: 11/21/25 - 11/20/30

Abstract:
The project aims to support ongoing development and deployment of an AI-powered scientific assistant that transforms scientific exploration through intuitive, adaptive, and interoperable interaction with complex data. The result is two proposed thrusts, one in scientific data management and one in scientific data visualization.

UIC will participate in the thrust ‘AI-Enhanced Visualization and Human-centered Data Interaction’. The hypothesis to be researched is the following: advanced AI-driven visualization and intelligent data exploration - when coupled with novel, efficient data representations - will dramatically accelerate scientific discovery by enabling real-time analysis of large-scale datasets and live experimental data.

To investigate this hypothesis, we leverage exemplary data from a range of DOE domains to conduct research in the following three areas: human-centered exploration of scientific data, efficient data representations for interactive exploration, and AI-driven advanced rendering and visualization. UIC will participate in the design and development of an AI assistant for data exploration and a visualization workflow AI assistant.