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IDSS Kickoff Workshop

The IDSS projects,
together.

In July 2026, NSF hosted a virtual kickoff meeting series for the Integrated Data Systems & Services (IDSS) program where the newly funded projects introduced their work.

The Integrated Data Systems & Services program supports national-scale data cyberinfrastructure that broadly advances open, data-intensive, and AI-driven science and engineering. This kickoff brings the program’s projects together to share their goals, plans, and the communities they serve.

Agenda & slides

Talks from across the program.

Select a talk to open its slides.

Category I
FabAID: A fabric for data-intensive and AI-driven science
Brian Bockelman · Morgridge Institute for Research

An introduction to the Fabric of AI-driven Data services and the goals of the IDSS kickoff.

Category IFabAID
National Data Platform
Ilkay Altintas · University of California, San Diego

A Federated National AI-Ready Data Ecosystem for Discovery, Innovation, Education, and Workforce Development

Category INational Data Platform
Category II
National Science Data Fabric
Michaela Taufer · University of Tennessee, Knoxville

Every Scientist Should Be Able to Collaborate with Every Scientific Facility and Every AI: A National Digital Backbone for Autonomous Scientific Discovery

Category IINSDF
MESA: Multidisciplinary Environment for Scientific Advancement
Tyson L. Swetnam · University of New Mexico

Building a shared, open-source platform in which scientific data from many fields are automatically described, organized, and connected.

Category IIMESA
BRIDGE National Center
Chen Li · University of California, Irvine

A National Center to Democratize Multi-Disciplinary Data Science and AI

Category IIBRIDGE
iDLab: Interactive Discovery Laboratory
Amit Chourasia · University of California, Los Angeles

A unified environment that connects researchers, educators, and students to interactive computing and data across five NSF-supported NAIRR and ACCESS sites and two cloud providers.

Category IIiDLab
Category III
Planning for a National Scale Data Platform for Personal Data
Sharon J. Hewner · University at Buffalo, SUNY

Engaging stakeholders to build a coherent strategy for national-scale operational data infrastructure for personal data — human and related data containing sensitive information.

Next-Generation Metadata Management Infrastructure for Enabling Intelligent and Efficient Scientific Data Sharing and Discovery at National-Scale
Jie Ren · College of William & Mary

Metadata infrastructure for intelligent and efficient scientific data sharing and discovery, so researchers can find and reuse data produced across the national research ecosystem.

Planning Federated AI-Ready Cyberinfrastructure for Advanced Microscopy and Imaging: A Teach-Explore-Design Framework for Community-Driven Infrastructure
Lewis Tseng · University of Massachusetts Lowell

he project will investigate the feasibility, community acceptance, and design requirements for a federated, cross-domain, AI-ready data cyberinfrastructure.

AI-Driven National Synthesis Hub for Convergent Disaster Research and Intelligence
Hui Fang · University of Delaware

This project aims to develop a plan for a national scale operational data infrastructure for personal data, i.e., human and related data containing sensitive information.

G-WAVE: Gulf Water Analytics & Virtual Environments for Integrated and Intelligent Water, Health, and Energy Resilience in the Gulf Coast
Ibrahim Demir · Tulane University

Democratizing access to complex environmental data for water, health, and energy resilience in the Gulf Coast — for researchers of any technical background.

For presenters

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