This repository contains the code for the HDR (Harnessing the Data Revolution) Ecosystem website.
The Harnessing the Data Revolution (HDR) Community is a national ecosystem of NSF-funded institutes advancing data-intensive science, engineering, and education through convergence research. Established under the NSF Big Idea Harnessing the Data Revolution, the HDR Ecosystem brings together domain scientists, data scientists, and cyberinfrastructure experts to accelerate discovery, develop scalable and interoperable tools, and prepare a diverse data-enabled workforce.
Member institutes—including A3D3, Imageomics, ID4, iHARP, and I-GUIDE—serve as both independent centers of excellence and collaborative partners, addressing challenges ranging from climate resilience and polar research to biology, materials design, and artificial intelligence. Through shared resources, cross-institute initiatives, and open science practices, the HDR Ecosystem strengthens the national research enterprise and ensures that data-driven innovation contributes to scientific progress and societal well-being.
index.htmlis the main landing page.html/contains the primary site pages (news, events, institutes, resources, etc.).html/institutes/holds institute-specific pages (for example,iguide.html).html/mlchallenge-y1/is the Year 1 ML Challenge site (including the AAAI workshop page).html/mlchallenge-y2/is the Year 2 ML Challenge site.html/mlchallenges.htmlis the ML Challenge landing page.css/,js/, andimages/are global assets used across the site.
These directories exist to preserve links referenced elsewhere. Each contains a simple redirect page.
/AAAI-workshop→/html/mlchallenge-y1/aaai-workshop2024.html/mlchallenge→/html/mlchallenges.html/mlchallenge-y2→/html/mlchallenge-y2/index.html
In the repo root, run
python -m http.server 8080Then open http://[::]:8080/ in your browser of choice.
The Harnessing the Data Revolution (HDR) Ecosystem is supported by the National Science Foundation under Awards: 2118240, 2118201, 2118285, 2118329, and 2117997. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.