Edge-Native Drone Navigation

Imageomics’s Jenna Kline won first place in the ACM/IEEE Symposium on Edge Computing Student Research Competition for “An Edge-Native Approach to Behavior-Adaptive Navigation in Drone Systems.”

Open Science Catalog

Imageomics launches a new catalog showcasing open science resources for AI and nature.

I-GUIDE Spatial AI Challenge

The challenge focuses on fostering FAIR data and open science practices using the I-GUIDE Platform.

HDR Ecosystem Magazine

Dive into our latest issue for institute highlights, research spotlights, and upcoming HDR ecosystem events.

ML Challenge Year 2

Test your ML skills! Submissions are open for the HDR Ecosystem's second FAIR challenge.

A3D3 attends ML conference

A3D3 scientists and engineers attended the 2025 Fast Machine Learning for Science conference, held at ETH Zurich.

NSF HDR
Ecosystem

The National Science Foundation (NSF) Harnessing the Data Revolution (HDR) Institutes are an integrated fabric of interrelated institutes that aim to accelerate discovery and innovation in multiple areas of data-intensive science and engineering.

Learn about HDR

Meet the Institutes

Accelerated AI Algorithms for Data-Driven Discovery

A3D3 constructs the knowledge for applications of AI in: high energy physics, multi-messenger astrophysics and systems neuroscience.

Institute for Data Driven Dynamical Design

ID4 focuses on using the power of big data to create new approaches and tools for designing materials and structures from atoms to skyscrapers.

Institute for Geospatial Understanding through an Integrative Discovery Environment

I-GUIDE drives discovery and innovation by harnessing the geospatial data revolution to advance convergence science.

Institute for Harnessing Data and Model Revolution in the Polar Regions

iHARP harnesses the power of data, data modeling, prediction and scalability to create the next generation of climate modeling.

Imageomics Institute

The Imageomics Institute establishes a new scientific field called "imageomics," which harnesses image data to inform biological discoveries.

Explore Resources

The HDR Ecosystem provides resources for interdisciplinary, data-intensive research and learning. Guided by FAIR principles, it connects a diverse audience of users to tools, materials, and platforms that promote collaboration and discovery.

View all resources