SAIF — Syria AI Foundation

Research at SAIF

Building credible research pathways from Syria.

Research is central to SAIF’s mission. We work to connect meaningful questions, capable people, trusted data, technical resources, mentorship, and institutions so credible AI research can be developed, evaluated, published, and applied.

SAIF

How we work together

Clear rules before the work begins.

SAIF uses one authoritative charter for each relationship, shared publicly and used internally. Researchers and advisory candidates can understand the terms before they disclose substantive work or commit their time.

How SAIF supports research

The model is designed to support work from question definition through evaluation and responsible publication, without presenting planned work as completed.

Identify meaningful research questions

Define tractable questions grounded in real technical, institutional, linguistic, or societal needs.

Match talent and expertise

Connect researchers, engineers, domain specialists, mentors, and institutional problem owners around suitable work.

Coordinate technical resources

Work to provide or coordinate the data, compute, tools, infrastructure, and access a research effort responsibly requires.

Support disciplined experimentation

Use clear methods, documentation, evaluation criteria, review, and reproducible practices where appropriate.

Publish credible outputs

Share useful findings and resources where quality, permissions, confidentiality, and research readiness allow.

Potential research outputs

Outputs depend on the question, quality of the work, permissions, resources, and appropriate review. This list describes possible formats, not claims of existing publications or projects.

Trusted data & knowledge

Knowledge is research infrastructure.

What is not documented and organized today becomes less present in tomorrow’s knowledge systems.

Syrian and Levantine language, context, archives, and institutional knowledge remain a major research and infrastructure theme. SAIF works only with material that can be accessed and used responsibly; listing a theme does not imply that a dataset has been received or authorized.

Syrian and Levantine Arabic
Dialect and speech
Archives and institutional knowledge
Evaluation resources
Responsible digitization
Data preparation, documentation, and labeling
Culturally and linguistically relevant AI resources

Research outputs & updates

These sections are structured to receive real work as it is reviewed and approved for public release.

Researchers

Bring a question or research direction without surrendering it.

Established and independent researchers can start with a non-confidential summary, review the Researcher Charter, and explore the engagement modality that fits the work.

Engage as a researcher

Research internship

Learn by contributing to real research needs.

Students and early-career contributors may express interest in learning-oriented research support. Placement depends on current needs, supervision capacity, and fit.

Research internship

Advisors

Contribute specialist judgment where it matters.

Experienced researchers, technologists, academics, and institutional experts may express interest or be nominated for curated advisory consideration.

Advisory interest