Ersilia Book
  • πŸ€—Welcome to Ersilia!
    • The Ersilia Open Source Initiative
    • Ten principles
    • Ersilia's ecosystem
  • πŸš€Ersilia Model Hub
    • Getting started
    • Online inference
    • Local inference
    • Model contribution
      • Model template
      • Model incorporation workflow
      • Troubleshooting models
      • BioModels annotation
    • For developers
      • Command line interface
      • CI/CD workflows
      • Test command
      • Testing playground
      • Model packaging
      • Inputs
      • Codebase quality and consistency
      • Results caching
  • πŸ’ŠChemistry tools
    • Automated activity prediction models
      • Light-weight AutoML with LazyQSAR
      • Accurate AutoML with ZairaChem
      • Model distillation with Olinda
    • Sampling the chemical space
    • Encryption of AI/ML models
  • AMR chemical collections
  • πŸ™ŒContributors
    • Communication channels
    • Tech stack
    • Internships
      • Outreachy Summer 2025
      • Outreachy Winter 2024
      • Outreachy Summer 2024
      • Outreachy Winter 2023
      • Outreachy Summer 2023
      • Outreachy Winter 2022
      • Outreachy Summer 2022
  • πŸ“‘Training materials
    • AI2050 intro workshop
    • AI2050 AI for Drug Discovery
    • Introduction to ML for Drug Discovery
    • Python 101
    • External resources
  • 🎨Styles
    • Brand guidelines
    • Slide and document templates
    • Scientific figures with Stylia
    • Coding style
  • 🌍About Us
    • Where to find us?
    • Diversity and inclusion statement
    • Code of conduct
    • Open standards and best practices
    • Ersilia privacy notice
    • Strategic Plan 2025-2027
    • Ersilia, the Invisible City
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2025, Ersilia Open Source Initiative

On this page
  • The organisation
  • Mission
  • Vision
  • Goals
  • Governance
  • How are we funded
  • Learn more about us

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  1. Welcome to Ersilia!

The Ersilia Open Source Initiative

We equip laboratories in the Global South with data science tools for infectious disease research

NextTen principles

Last updated 1 month ago

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The organisation

The (Ersilia) is a tech non-profit organisation incorporated as a Foundation in Catalunya, Spain. We are located in , Barcelona.

Mission

To equip laboratories in Low and Middle Income Countries with state of the art artificial intelligence tools for infectious and neglected disease research.

Vision

A world with egalitarian access to healthcare.

Goals

  1. To facilitate adoption of artificial intelligence and machine learning (AI/ML) models for biomedical research. We bridge the gap between data scientists and experimental researchers, making AI/ML expertise available to scientists worldwide.

  2. To support research into infectious and neglected diseases in LMICs. We focus on implementing our tools locally in institutions across the global south. We prioritise projects where the scientific leadership is within domestic institutions and local researchers.

  3. To build capacity in data science and AI/ML. Together with our partners, we organise workshops and seminars for experimental scientists.

  4. To advocate for open science. We firmly believe that an open science framework is the key to establishing sustainable collaborations. We strive to keep openness at all levels, including scientific findings, strategic decision-making, and funding.

Governance

As a Foundation, Ersilia is governed by the Board of Trustees (Patronat), a body that serves voluntarily and oversees the alignment between Ersilia's work and its philanthropic mission. The board meets a minimum of four times a year to provide strategic decision making and support to Ersilia’s core team. Our Trustees are:

In addition, Ersilia is supported by a Board of Advisors:

How are we funded

Learn more about us

, PhD (President)

, PhD (Secretary)

, PhD (Vocal)

, MSc

, MSc

Ersilia is funded by a combination of research grants from public entities (including the Spanish Government, the NIH, and the European Union), private foundations (including Schmidt Sciences, Mozilla Foundation and Bill and Melinda Gates Foundation) and donations from philantrophic bodies and corporate contributors (including Splunk, HPE, BlackRock and UPS). A full disclosure of our funding sources can be found in our .

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πŸ€—
Ersilia Open Source Initiative
Norrsken House
Miquel Duran-Frigola
Edoardo Gaude
Anna Homs Riba
Alacia Armstrong
Akash Rungta
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