# Category II: iDLab - A Federated Interactive Discovery Lab for Data-Driven Research and Education

> **NSF 01002627DB NSF RESEARCH & RELATED ACTIVIT** · University of California-Los Angeles (CA) · $9,000,000

## Abstract

The Interactive Discovery Laboratory (iDLab) a unified, easy-to-use web-based platform that enables researchers to seamlessly access and use computing and data resources across five NSF-supported high-performance computing (HPC) sites and two public cloud platforms. iDLab provides a consistent catalog of interactive applications, access to local data resources, and a shared data partition accessible across all sites. By mitigating technical barriers, reducing data transfer requirements, and maintaining a consistent application environment, iDLab empowers researchers, broadens participation in advanced computing, and accelerates data-driven and AI-enabled discovery across a wide range of scientific fields, including natural hazards engineering, spatial biology, neuroscience, geospatial analytics, and computational physics. Additionally, the platform enhances STEM education through browser-based instructional environments, supports workforce development via coordinated training and tutorials, and advances open science by promoting research outputs that are findable, accessible, interoperable, and reusable (FAIR), thereby maximizing the impact and reach of federal investments in research infrastructure.

Led by the University of California, Los Angeles (UCLA), in collaboration with the National Center for Supercomputing Applications (NCSA), the Pittsburgh Supercomputing Center (PSC), Purdue University, the San Diego Supercomputer Center (SDSC), and the Texas Advanced Computing

## Key facts

- **NSF award ID:** 2609583
- **Awardee organization:** University of California-Los Angeles (CA)
- **SAM.gov UEI:** RN64EPNH8JC6
- **PI:** Amit Chourasia
- **Primary program:** 01002627DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** Artificial Intelligence (AI), CSSI-1: Cyberinfr for Sustained Scientif, Data Infrstr Bldg Blocks-DIBBs
- **Estimated total:** $9,000,000
- **Funds obligated:** $9,000,000
- **Transaction type:** Cooperative Agreement
- **Period:** 07/01/2026 → 06/30/2029

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2609583

## Citation

> US National Science Foundation, Award 2609583, Category II: iDLab - A Federated Interactive Discovery Lab for Data-Driven Research and Education. Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/grant/nsf/2609583. Licensed CC0.

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*[NSF Awards dataset](/datasets/nsf-awards) · CC0 1.0*
