Sustainable Funding for Open Science

Academic research depends on open-source software, yet this critical infrastructure remains dangerously underfunded. We're building a systematic solution.

The Crisis in Numbers

0.1% of grant funding could solve this
1-2 maintainer losses can collapse ecosystems
$180M yearly would fund all research software

Open Science Assistant

The first modular AI assistant for open science. Get domain-specific help with HED, BIDS, EEGLAB, NEMAR, and more. Try the live demo with specialized assistants for each research community.

Modular Architecture

Extensible design supporting document retrieval, validation, and code execution.

Multi-Source Knowledge

Integrates knowledge from GitHub, OpenALEX, Discourse, and mailing lists.

Production Ready

Built with LangGraph/LangChain and FastAPI with LangFuse observability.

The Crisis in Numbers

Critical research tools operate without sustainable funding. The scale of the problem is both alarming and solvable.

0.1% of grant funding could solve this
1-2 maintainer losses can collapse ecosystems
$180M yearly would fund all research software

How It Works

A simple, transparent model for sustainable research software.

Collect

~0.1% from research grants goes to a shared fund

Track

Transparent metrics measure software usage and impact

Fund

Resources flow to maintenance, not just new features

Contributors

Led by researchers and engineers committed to sustainable research infrastructure.

Seyed Yahya Shirazi

Seyed Yahya Shirazi

Lead

Computational neuroscience and open science infrastructure.

GitHub
Scott Makeig

Scott Makeig

Collaborator

Open science leadership: EEGLAB, HED, LSL, and NEMAR.org.

GitHub
Arnaud Delorme

Arnaud Delorme

Collaborator

Lead architect of EEGLAB and NEMAR.org.

GitHub

A project of the Swartz Center for Computational Neuroscience (sccn.ucsd.edu), UC San Diego

Join the Movement

Whether you're a researcher, university administrator, or funding agency, help us fix research software sustainability.