EDSAFE AI Fellowship 2027: 3 Tracks, Apply by Nov 30

EDSAFE AI Fellowship 2027: Apply Online for 3 Tracks by Nov 30

Post Update: 05 November 2026

Quick Summary

Applications for the EDSAFE AI Fellowship 2027 close on November 30, 2026 at 10 p.m. EST, with selected Fellows announced in January 2027. The programme runs three separate tracks — Catalyst, Women in AI and Vanguard — for education leaders, women technologists and K-12 practitioners who want to advance safe, evidence-based AI use in schools. Applications are made online through the official fellowship page; that page does not mention an application fee, and self-nominations are accepted.

EDSAFE AI Fellowship (Catalyst / Women in AI / Vanguard) 2027: Overview

The EDSAFE AI Fellowship 2027 is a part-time, cohort-based leadership development programme that brings together people working on the safe and evidence-based use of artificial intelligence in education, and it is not a paid job or a full-time commitment. Fellows learn through expert-led virtual workshops built around the SAFE framework, work alongside a cohort of 30+ peers, receive mentorship from previous EDSAFE Fellows, meet in person at least once during the year, and finish with a microcapstone project deployed in their own context.

The table below summarises the essentials — organisation, application mode and the status of the intake — so you can decide quickly whether this fits you.

One practical point before you read further: each track has its own application link, so the form you open depends on the track you choose. All three links sit on the same EDSAFE fellowship page.

EDSAFE AI Fellowship 2027 Tracks: Catalyst, Women in AI and Vanguard

There are three distinct tracks, and applicants apply to one of them rather than to a single common pool. The descriptions below follow the official track write-ups; pick the one that matches your current role, because the cohort you join and the peer group you learn with are decided by that choice.

Catalyst Fellowship

Built for education leaders across both practice and industry, this track deliberately mixes the supply and demand sides of the sector.

• Open worldwide.
• Aimed at people who identify as educational leaders — administrators, teachers, researchers and policymakers.
• Focus: building a resilient, AI-enabled learning ecosystem where new tools are safe by design and grounded in evidence.

Women in AI Fellowship

A collaborative space for women at the forefront of technology and education, combining peer support with continuous learning and ecosystem connection.

• Open worldwide.
• Aimed at women technologists working in AI development, data science or related fields, and at educational leaders passionate about AI in education.
• Focus: reimagining learning systems powered by AI that is safe by design and centred on human agency.

Vanguard Fellowship

Rooted in day-to-day practice, this track is for people working inside schools and school systems.

• Aimed at classroom teachers of all subjects, instructional coaches, site and district administrators, IT professionals and education agency staff shaping SAFE AI use.
• Preference is given to U.S.-based applicants, though the track is not limited to them on paper.
• Focus: designing resilient, pedagogy-first, AI-enabled learning systems.

EDSAFE AI Fellowship (Catalyst / Women in AI / Vanguard) 2027 Benefits, Stipend and Time Commitment

The official notification does not state a stipend or salary for any of the three tracks — what the fellowship offers is learning, mentorship and network access rather than payment. It is explicitly not a full-time role, so plan for a part-time load that sits alongside your existing job or study.

Fellows will:

• Gain expertise: learn from world-renowned experts in AI and education through interactive workshops and discussions.
• Build a network: connect with a cohort of like-minded peers and mentors passionate about the ethical use of AI in education.
• Make a difference: apply their knowledge to develop a capstone project addressing a real-world AI education challenge.
• Amplify their voice: contribute to the global conversation about the responsible use of AI in education.

EDSAFE AI Fellowship (Catalyst / Women in AI / Vanguard) 2027 Eligibility Criteria

Eligibility is defined track by track, so the deciding question is whether your current role matches the track you pick. Check the criteria below against your designation before you start the form.

• Catalyst Fellowship: open worldwide to individuals passionate about AI in education who identify as educational leaders (administrators, te…
• Women in AI Fellowship: open worldwide to women technologists (AI development, data science or related fields) and educational leaders pass…
• Vanguard Fellowship: open to individuals currently working in K-12 education — classroom teachers of all subject areas, instructional coach…

Catalyst Fellowship

Open to individuals who are passionate about the use of AI in education and who identify as:

• Educational leaders: administrators, teachers, researchers and policymakers interested in exploring AI's potential to improve learning outcomes.
• Open for worldwide applications.

Women in AI Fellowship

Open to individuals who are passionate about the use of AI in education and who identify as:

• Women technologists: women working in AI development, data science or related fields who are interested in applying their skills to education.
• Educational leaders: administrators, teachers, researchers and policymakers interested in exploring AI's potential to improve learning outcomes.
• Open for worldwide applications.

Vanguard Fellowship

Open to individuals currently working in K-12 education who are passionate about the use of AI in education and who identify as:

• K-12 educators and administrators: classroom teachers of all subject areas, instructional coaches, site administrators, district administrators, IT professionals, or anyone whose role includes implementing AI in a K-12 setting.
• Education leaders: employees of regional education agencies, education services agencies or state education agencies who are working to shape the conditions for SAFE AI use in the K-12 environment.
• Preference given to U.S.-based applicants.

Two points are easy to miss. The Women in AI track accepts both women technologists and educational leaders, so a school or policy background is not a disqualification. The Vanguard track is the only one with a stated geographic preference — U.S.-based applicants are favoured.

The notification does not mention any age limit or application fee, and no minimum qualification is published. Self-nomination is permitted, so you do not need your employer or a senior colleague to put your name forward.

EDSAFE AI Fellowship (Catalyst / Women in AI / Vanguard) 2027 Important Dates and Deadline

This cycle has only two confirmed dates: the submission cut-off and the announcement of Fellows, both shown in the table below. Everything else — a notification release date, fee payment window, correction window, exam or interview date, admit card and result date — is not applicable or not published, because the fellowship has no written examination stage.

The cut-off is stated in Eastern Standard Time, so applicants in India should convert it carefully rather than assuming a midnight deadline in local time. Submissions after the stated date and time are not accepted, and there is no indication of an extension or a correction window.

Aim to submit before 10 p.m. EST on 30 November 2026 rather than at the last moment, and expect outcomes in January 2027, when the selected Fellows are announced.

How to Apply for EDSAFE AI Fellowship (Catalyst / Women in AI / Vanguard) 2027

Applying is a single online form per track, with no offline paperwork; the official page does not mention an application fee. Work through the steps in order so that you submit against the right track the first time.

1. Open the EDSAFE fellowship page and read the three track descriptions.
2. Decide which track matches your current role — Catalyst, Women in AI or Vanguard.
3. Click the application link for that specific track (each track has its own form).
4. Create or open the application form and enter your personal and professional details, including your current role and organisation.
5. Describe your work and interest in safe, evidence-based AI in education, keeping it specific to your context.
6. Review every field for accuracy before you submit.
7. Submit the form before November 30, 2026, 10 p.m. EST; late submissions are not accepted.
8. Save the submission confirmation and note that Fellows are announced in January 2027.

Self-nominations are welcome, so you can complete the form yourself without a nominating authority.

EDSAFE AI Fellowship (Catalyst / Women in AI / Vanguard) 2027 Selection Process

Selection is application-based: there is no written test, group discussion or interview stage listed in the official notification. The three published stages are set out below, and no test, interview or feedback route for unsuccessful candidates is listed.

1. Submit an online application for the chosen fellowship track (self-nominations welcome)
2. Applications accepted only up to November 30, 2026, 10 p.m. EST
3. Selected Fellows announced in January 2027

Notice how short the process is — the application itself carries all the weight, so your description of your work in AI in education is what you have to make your case with.

Because no scoring rubric, shortlisting ratio or waitlist policy is published, treat the timeline in the dates section as the only firm commitment.

EDSAFE AI Fellowship (Catalyst / Women in AI / Vanguard) 2027 Important Links

All official information and all three application forms sit behind a single fellowship page, listed in the table below. There is no separate notification PDF or portal for this programme, so the page is the only place to verify details.

• Official fellowship page: EDSAFE AI Fellowships — hosts the application links for all three tracks.
• Catalyst Fellowship: apply link on the official fellowship page.
• Women in AI Fellowship: apply link on the official fellowship page.
• Vanguard Fellowship: apply link on the official fellowship page.

Check the FAQ section on the same page before writing to the organisers, and avoid third-party reposts of the deadline, since the time zone conversion is often quoted incorrectly.

Frequently Asked Questions

What is the last date to apply for the EDSAFE AI Fellowship 2027?

Applications are currently open and are accepted only up to November 30, 2026, 10 p.m. EST. Apply well before the deadline, as late submissions will not be considered.

Which fellowship tracks are offered under the EDSAFE AI Fellowship 2027?

There are three tracks: the Catalyst Fellowship, the Women in AI Fellowship and the Vanguard Fellowship. Each track has its own application link on the official fellowship page.

Who is eligible for the EDSAFE AI Fellowship 2027?

The Catalyst Fellowship is open worldwide to educational leaders such as administrators, teachers, researchers and policymakers, while the Women in AI Fellowship is open worldwide to women technologists and educational leaders. The Vanguard Fellowship is for people currently working in K-12 education, with preference given to U.S.-based applicants.

How do I apply for the EDSAFE AI Fellowship 2027?

Submit an online application for the fellowship track you choose through the links on the official page at https://www.edsafeai.org/fellowship. Self-nominations are welcome.

Is there a stipend or application fee for the EDSAFE AI Fellowship 2027?

The official page does not mention a stipend or an application fee. Listed benefits include expert-led virtual workshops, mentorship from previous EDSAFE Fellows, at least one in-person gathering during the year and a microcapstone project.

Is the EDSAFE AI Fellowship a full-time commitment?

No, the Fellowship is not full-time. It is designed to run alongside your existing role in education or technology.

When will the EDSAFE AI Fellowship 2027 fellows be announced?

Selected Fellows will be announced in January 2027. For any update not covered here, refer to the official notification at https://www.edsafeai.org/fellowship.